What's new in New Relic

Overall New Relic One experience updates

Thu, 30 Jul 2020 00:00:00 +0000

We listened to you about what’s working and what’s not. That’s why we reimagined New Relic One by unifying all of our capabilities within a single experience, completely removing the barriers to observability. Easily navigate the platform and take advantage of powerful, new and improved features like search, a feature toggle, an Alerts & AI section, a feedback form, the ability to add data, and more!

We also embraced open source observability by adopting open standards and sharing our traditionally closed-source code with the community.

See our docs | Check out our community

Scheduled alert muting

Thu, 30 Jul 2020 00:00:00 +0000

When you have a deployment or maintenance scheduled, the last thing you want is a bunch of alerts firing, stealing your time and distracting you from what could possibly be real issues. Wouldn’t it be nice to be able to schedule alert muting for those cases? We thought so, too!

Now you can schedule a window of quiet when you know important work is coming. Check out this post on the Explorer’s Hub.

Anomalies visible in the activity stream

Fri, 11 Sep 2020 00:00:00 +0000

The activity stream, visible from the New Relic One homepage, APM summary page, and APM list page, streams recent events from alerts and deployments and provides a direct view into what has changed in your system so that you can fix outages quickly.

To expand your view of your system and data to help speed incident response, we’ve further integrated Applied Intelligence capabilities into New Relic One by providing detected anomalies in context alongside APM information in the activity stream of the New Relic One homepage and on the APM summary page.

Bringing anomalies into your common workflows will save you time and increase your situational awareness, so that you can more quickly understand changes and respond to incidents faster.

After you configure your application within Proactive Detection, Applied Intelligence will post open and closed events to the activity stream for specific time windows. For faster troubleshooting, click on any event in the activity stream for event analysis— including related anomalies—suggested queries, and other relevant metrics. Additionally, you can configure Proactive Detection to send anomaly notifications and analysis to Slack and other notification channels or the Telemetry Data Platform for future analysis.

Issue summary and analysis in Applied Intelligence

Tue, 01 Sep 2020 00:00:00 +0000

When trying to find the root cause of an issue, access to contextual information is crucial. Knowing that, we’ve made it easier to find relevant issue information and analysis.

The issue summary provides bottom-line insights to get you information faster. Depending on the issue, it can contain up to four sections:

Analysis summary: Surfaces related components and SRE golden signals (for example, error rate, throughput, saturation, and latency)
Suggested responder: Suggests the most relevant responders who can help to resolve the issue
Impacted entities: Shows a summary of any entities we monitor with one-click access to anomaly analysis if you’ve configured Proactive Detection
Labels sets: Shows incidents from third-party sources (for example, PagerDuty, AWS CloudWatch, etc.)

With these updates to the issue summary and analysis, more information is always a click away.

Applied Intelligence: Deployment events in the issue feed

Wed, 30 Sep 2020 00:00:00 +0000

Making it easier for you to connect the dots and find the root cause of issues, New Relic’s AIOps solution, Applied Intelligence, now includes any relevant APM deployment data related to issues. Changes, such as deployments, account for a high percentage of the root causes of incidents and having that information at hand can be crucial to the speedy diagnosis and resolution of issues impacting your environment.

Information about related deployments from APM deployment events are now surfaced and linked to issues in the issue feed within Incident Intelligence. This information about recent deployments, their impact on Apdex scores, response times, throughput, and errors, can be surfaced by clicking on show all deployments in the issue page.

New Relic One has dark mode!

Fri, 04 Sep 2020 00:00:00 +0000

You wanted it, and we delivered. Dark mode is here! Head to the account dropdown to switch between dark mode and light mode.

UI walkthrough

New Relic Edge with Infinite Tracing

Tue, 29 Sep 2020 00:00:00 +0000

New Relic Edge with Infinite Tracing is a fully managed, cloud-native tail-based distributed tracing service. This new service observes 100% of all application traces across your distributed systems, and provides visualization and storage for the most actionable data so you can investigate and solve issues faster. Since there’s no infrastructure to manage, you won’t need to staff or plan for operating the service and can expect unparalleled, on-demand scalability.

New Relic support for Amazon Web Services (AWS) Bottlerocket

Fri, 04 Sep 2020 00:00:00 +0000

New Relic now gives you full visibility into your workloads and infrastructure running on Bottlerocket, including Amazon EKS and Amazon ECS. Bottlerocket is a new Linux-based OS by AWS that has been specifically built to run containers.

It has been designed to lower operational costs and management complexity. Bottlerocket does this by reducing its footprint around what’s needed to run containers while improving security with automatic OS updates.

Windows logs supported

Wed, 09 Sep 2020 00:00:00 +0000

Customers with Windows can now send all their logs to New Relic using the infrastructure agent. The feature includes new filters to select exactly which log types (application, security, or system) and messages you are interested in, all the way down to the EventID.

Microsoft Windows example

Visual issue timeline in Applied Intelligence

Tue, 01 Sep 2020 00:00:00 +0000

We’ve created a Gantt-style chart that shows a timeline of related events on the Incident Intelligence issue page, within Applied Intelligence, to help you understand how incidents play out over time and relate to each other.

The timeline is available to all accounts that have configured Incident Intelligence. Click View Visual Timeline and scroll over individual incidents for more information.

What's new?

Fri, 04 Sep 2020 00:00:00 +0000

Over the last month or two, we’ve made a lot of changes. As we continue to build out new features and make iterations to New Relic One based on your feedback, we want to ensure you have an easy way to find all the information that you care about and need to navigate the platform.

That is why we’ve created What’s New: your one-stop-shop to quickly learn more about every new change and feature. When there are updates to New Relic One, you will be notified and directed to What’s New for a closer look at what we’ve released. There, you will find posts for each feature with a brief description (of its utility), resources, tip-and-tricks, and best practices to ensure you are productively leveraging the newest innovations and getting the most out of New Relic One.

The best part about having this wealth of information and tools at your fingertips is that you won’t ever have to leave New Relic One.

So what’s new this time around? Check it out for yourself: in New Relic One, just head to the account dropdown, then click What’s new?

Create Grafana dashboards with Prometheus data stored in New Relic

Mon, 10 Aug 2020 00:00:00 +0000

We’ve teamed up with Grafana Labs so you can use our platform as a data source for Prometheus metrics and see them in your existing dashboards, seamlessly tapping into the reliability, scale, and security provided by New Relic.

Follow the steps below or use this more detailed walkthrough to send Prometheus data to New Relic, so that Grafana can populate your existing Prometheus-specific dashboards with that data.

This process requires Prometheus version 2.15.0 or higher and Grafana version 6.7.0 or higher.

You’ll also need to sign up for New Relic.

Here's an example of how these Grafana dashboards with Prometheus data look in our new dark mode.

Step 1: Get data flowing into New Relic with the Prometheus remote write integration

Go to Instrument Everything – US or Instrument Everything – EU, then click the Prometheus tile.

You can also go to the Prometheus remote write setup page to get your remote_write URL.

For more information on how to set up the Prometheus remote write integration, check out our docs.

Step 2: Configure your Grafana dashboards to use Prometheus data stored in New Relic

For more information on how to configure New Relic as a Prometheus data source for Grafana, check out our docs.

Alert analysis for Applied Intelligence

Tue, 18 Aug 2020 00:00:00 +0000

Dig deeper into alerts you receive with automatic alert analysis, which provides context and an explanation about each alert incident. You can also get a structured view and additional information about the entity and what was happening around it when the threshold was crossed to help you troubleshoot even faster. Alert analysis includes:

A chart of the incident
Details about recent activity, the incident, and the entity
A suggestion of key attributes that may explain the alert
A comparison of signals showing associated anomalies (if you’ve configured Proactive Detection) and related signals for this specific entity, such as CPU, throughput, and more, that occurred around the same time as the alert incident

To view an alert analysis, in the one.newrelic.com top nav, click Alerts & AI, then in the side nav under Incident Intelligence click Issue Feed.

When you open an issue, you’ll find Related Activity. If you want to dig into a detailed analysis of the alert, click Analyze.

If you’re familiar with the Proactive Detection analyze anomaly page, this will look very familiar, as its information is structured in the same layout. In the upper left, you’ll see a chart of the alert incident. To get started, you’ll need to configure Incident Intelligence within our Applied Intelligence. Alert analysis integrates with Proactive Detection and Incident Intelligence, so if you want additional context—such as related anomalies—you’ll want to configure Proactive Detection.

To get started with Applied Intelligence, sign up for a free New Relic account and get 1,000 Incident Intelligence events free every month.

Ingest New Relic logs directly with Amazon Web Services (AWS) Kinesis Data Firehose

Sun, 16 Aug 2020 00:00:00 +0000

New Relic can now ingest data from Amazon Web Services (AWS) Kinesis Data Firehose, making it easier than ever to gain visibility into your cloud stack. The Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to AWS services like Amazon Simple Storage Service (Amazon S3), Amazon Redshift, and a wide array of external destinations.

Log data flows from AWS through Kinesis Data Firehose and Cloudflare into New Relic.

This integration brings a wide range of additional advantages:

Fully managed: Amazon Kinesis is fully managed and runs your streaming applications without requiring you to manage any infrastructure.
Scalability: Amazon Kinesis can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies.
Integrated with various AWS data sources: Amazon Kinesis can be used to easily collect Virtual Private Cloud (VPC) Flow Logs, CloudWatch Logs, CloudWatch Events, and AWS Internet of Things (IoT).
Real time: Amazon Kinesis enables you to ingest, buffer, and process streaming data in real time, so you can derive insights in seconds or minutes instead of hours or days.
Easily configurable: With the release of Kinesis Data Firehose HTTP endpoint delivery, you can easily configure data streams to automatically ingest and forward data to New Relic. You can also configure Kinesis Data Firehose to transform your data before delivering it. You don't need to write applications, manage resources, or create AWS Lambda functions, which makes it easier to manage and estimate costs for your data based on data volume.

Real user monitoring support for W3C trace context and Google Core Web Vitals

Wed, 26 Aug 2020 00:00:00 +0000

While it has a new home within our Full-Stack Observability product, we’ve made improvements to our Browser agent and real user monitoring capabilities, including:

W3C trace context standardization
Cumulative layout shift to measure a page’s visual stability

These new improvements help both frontend and web developers, who are increasingly spending time in incident resolution, focus on their main role of solving problems with software.

Expanding W3C trace context standardization

In our continued standardization of W3C trace context, our Browser agent now offers the standard trace context. W3C trace context enables cross-vendor interoperation of traces and helps ensure that, when using distributed tracing, you can troubleshoot services instrumented with agents from other vendors without risking broken or incomplete traces. Additionally, this also ensures that you’ll be able to reliably traverse third-party components, including proxies and API gateways.

Additionally, W3C trace context offers the same advantages when using open source tracers, enabling you to incorporate tracing telemetry data from any source, at any time, and to implement traces across highly-distributed application environments.

See our docs for more information about standard trace context.

New Metric: Cumulative Layout Shift

We're excited to announce the release of Cumulative layout shift (CLS), the third and final metric in Google Core Web Vitals. This metric is an important user-centric metric for measuring visual stability, because it helps quantify how often users experience unexpected layout shifts. A low CLS score helps ensure that your page is delightful and visually stable.

The current set of core web vitals focuses on three aspects of the user experience: loading, interactivity, and visual stability. These are the following metrics and their thresholds:

Largest contentful paint (LCP): measures loading performance. To provide a good user experience, LCP should occur within 2.5 seconds of when the page starts loading.
Interaction to next paint (INP): measures interactivity. To provide a good user experience, pages should have a INP of less than 200 milliseconds.
Cumulative layout shift (CLS): measures visual stability. To provide a good user experience, pages should maintain a CLS of less than 0.1.

For each of the above metrics, to ensure you're hitting the recommended target for most of your users, a good threshold to measure is the 75th percentile of page loads, segmented across mobile and desktop devices. To learn more about the research and methodology behind these recommendations, see: Defining the Core Web Vitals metrics thresholds. Tools that assess Core Web Vitals compliance should consider a page passing if it meets the recommended targets at the 75th percentile for all of these three metrics.

For more on measuring cumulative layout shift, see our docs.

Alerting: Loss of signal detection and configurable gap-filling strategies

Fri, 09 Oct 2020 00:00:00 +0000

At times, for a variety of reasons, an incoming signal can be lost and it’s important to know if this is a delay or if it’s the beginning of a much larger problem. New Relic One now provides official support for loss of signal detection on any NRQL Alert Condition.

To see if it’s simply a delay in signal or something worse, you can now configure loss of signal detection by specifying how many seconds the system should wait, from the time the last data point was detected, before considering the signal to be lost. If the signal does not return before your specified time expires, you can choose to be notified that the signal has been lost, or you can simply choose to close any related open incidents if you expected the entity or signal to disappear.

We know that not all signals or time series that are being monitored have a consistent flow of data points. Because New Relic evaluates incoming data in specific windows of time, in many cases, the telemetry signals you send to New Relic can have gaps, meaning that some time windows will not have data. You now have the option to implement multiple strategies for how those gaps should be filled–sometimes called extrapolation strategies–including setting a static value, using the previously detected value, or not doing anything.

When editing a NRQL Alert Condition, you can configure loss of signal detection under Condition settings > Set your condition thresholds and gap filling under Condition settings > Fine-tune advanced signal settings.

Tracing the gap: AWS X-Ray integration

Sun, 16 Aug 2020 00:00:00 +0000

Whether you’re managing Amazon EC2 instances or writing AWS Lambda functions, AWS X-Ray is a critical distributed tracing tool for getting visibility across your AWS services, but it doesn’t automatically capture all calls outside of AWS.

Conversely, New Relic Distributed Tracing provides automatic tracing for any application where the New Relic agent is installed—including on-prem and monolithic applications. One thing it lacked was visibility into trace and performance data from AWS-managed services where the agent couldn’t be installed.

Now, you can ingest AWS X-Ray distributed tracing data into New Relic to easily query, alert, and view application trace data from your managed AWS services on the same screen as the rest of your distributed tracing data for applications where the New Relic agent is installed.

Get started

If you’re an existing New Relic user and you’ve already connected your AWS account, go to your New Relic Infrastructure AWS settings and activate X-Ray (see below).

After you enable the X-Ray integration, AWS X-Ray trace data will automatically display in any distributed tracing view throughout the New Relic platform.

Applied Intelligence: Better, smarter webhooks

Thu, 15 Oct 2020 00:00:00 +0000

Always getting better and smarter, webhooks set up in Applied Intelligence now automatically deliver anomaly charts and a quick link to the analysis page in any notification tool.

When using webhooks as a destination in Incident Intelligence, you can further reduce alert fatigue by only being notified when issues contain the number of correlated incidents you specify.

Adding anomaly charts to your notifications

Creating a new configuration? Good news: you don’t need to do anything! The necessary fields are there by default.
Have an existing webhook? If you’re using a default payload, you’ll receive this by default. If you’re using a custom webhook, you can update it by visiting your relevant configuration and updating the payload to include the new image and analyze attributes.

Reduce the noise and only receive correlated notifications

If you’re using a webhook as a destination, you’re receiving every update that is sent out, which can often be too many. You can configure pathways in Incident Intelligence to only send notifications when incidents are correlated to reducing noise and helping you focus on the notifications that should take priority.

Now, any webhooks you configure also have this ability by using two new attributes to specify the minimum number or correlated incidents an issue should contain before sending a notification. For example if you choose three, you’ll only be notified of issues containing three or more correlated incidents.

The two attributes below, used when naming your pathway, allow you to do this:

is_correlated which is a binary value that can be set to true or false
incidents_count which requires an operator and numerical value

Applied Intelligence now features accelerated suggested decisions

Thu, 01 Oct 2020 00:00:00 +0000

Incident Intelligence continuously analyzes alerts and incident data to find patterns in event sequences and offers suggested correlation decisions that merge incidents to reduce alert noise further.

Suggested decisions use machine learning to tailor correlations based on your data. Usually, we can create suggestions after a few weeks of use and data ingestion. However, if you’re an existing New Relic user, we can now leverage your historical alerts data to bring you tailored suggested decision logic in a matter of days.

You won’t need to perform any additional configuration—choose the alert policies you want to feed in for correlation as usual, and we’ll take care of the rest. The more policies you add, and the more data we have access to, the better suggestions you’ll receive. Be sure to set up your alerts source to take advantage of this new capability.

Build high-resolution charts using sliding windows

Fri, 30 Oct 2020 00:00:00 +0000

Sliding windows enable you to increase chart resolution without losing the intent of the result by reducing the timeseries aggregate size, as shown below. Highly variable results can also be smoothed out by increasing the aggregate size, without losing resolution.

Sliding windows generate charts using the SLIDE BY clause in conjunction with the TIMESERIES clause. With sliding windows, data is gathered in time "windows" that overlap with each other. The first duration associated with TIMESERIES defines the size of the aggregation windows, which defines how many results are captured per window. The second duration associated with SLIDE BY, defines the step size between each aggregation, which then defines the charts resolution.

NRQL syntax follows the following format:

SELECT ... TIMESERIES integer1 units SLIDE BY integer2 units

PromQL-style queries are translated into NRQL sliding window queries. For example, rate(request_count[5m]) over the past 60 minutes with a 1-minute window overlap would be translated into the NRQL query below:

SELECT rate(sum(request_count), 1 SECONDS) FROM Metric SINCE 3600 SECONDS AGO UNTIL NOW FACET dimensions() LIMIT 100 TIMESERIES 300000 SLIDE BY 60000

Kafka Connect: Unlock open source and alternative instrumentation sources

Fri, 30 Oct 2020 00:00:00 +0000

The New Relic connector for Kafka Connect allows you to ingest data from Apache Kafka topics into the New Relic platform without writing a single line of code. Because we’re working with Kafka Connect, the connector is purely driven by configuration, which you apply using the Kafka Connect REST API. Retries, error handling, and dead letter queues are handled for you by Kafka Connect and can be customized as required.

The connector supports the Metric and Event telemetry data types, and we are working on releasing code for Logs and Traces soon.

To get started, head over to Confluent Hub and follow the instructions to install the connector into your local Kafka cluster.

Monitor Apollo Server GraphQL Node applications

Tue, 27 Oct 2020 00:00:00 +0000

The New Relic Apollo Server plugin for the Node.js agent captures executed GraphQL queries and parses those queries down to the individual field. This not only provides visibility into slow queries but also captures the duration spent resolving a piece of requested GraphQL data.

In addition, if you enable distributed tracing, you can follow the field resolution through to work done on other services and databases.

New Relic achieves AWS Outposts Ready designation

Wed, 07 Oct 2020 00:00:00 +0000

The AWS Outposts Ready designation recognizes that New Relic One has demonstrated successful integration with AWS Outposts deployments. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience.

Achieving the AWS Outposts Ready designation differentiates New Relic as an AWS Partner Network (APN) member with a product fully tested on AWS Outposts. AWS Outposts Ready products are generally available and supported for AWS customers, with clear deployment documentation for AWS Outposts. AWS Service Ready Partners have demonstrated success building products integrated with AWS services, helping AWS customers evaluate and use their technology productively, at scale and varying levels of complexity.

Monitor ASGI apps using the Python agent

Tue, 27 Oct 2020 00:00:00 +0000

The Python agent now provides out-of-the-box monitoring support for Uvicorn, Starlette, and FastAPI ASGI applications.

Uvicorn Server, Starlette and FastAPI

Get full visibility into your ASGI applications that use Uvicorn Server, Starlette framework or the FastAPI framework. This includes timing of ASGI requests and ensuring those requests are trackable using distributed tracing. It also handles error reporting and reporting of KPIs such as response time and throughput.

ASYNCPG Support

And that’s not all. We have seen an increasing demand from ASGI users to have asyncpg support, so we built that as well! This support extracts Postgres database query timing, the statement, the database, and the associated host, providing you with complete visibility into your Postgres queries.

ASGI API

Use the ASGI API to monitor web transactions for your ASGI applications not using Uvicorn or Starlette. To create meaningful transactions, when using this API we encourage you to use newrelic.agent.set_transaction_name API.

Saved views for log management

Mon, 12 Oct 2020 00:00:00 +0000

Expanding on the log management user analytics, you can now create saved views. This provides the ability to save your table column, time range, and other specific settings with the search in an easy to navigate UI.

one.newrelic.com > Logs > Saved Views

New Relic One now has a new UI for OpenTelemetry

Wed, 14 Oct 2020 00:00:00 +0000

New Relic One now has a UI dedicated to providing full APM functionality for your OpenTelemetry data. With this curated experience, you can find the root cause of incidents quickly, and optimize the performance of your applications and services.

Send your OpenTelemetry data to New Relic using one of the OpenTelemetry exporters and quickly discover and analyze your data using one of these key pages:

Explorer: The New Relic Explorer gives you a unified view of every entity so you can see everything you monitor in one place and quickly zoom into what you care about most.
Summary page: The summary page provides an overview of “golden signals” for a service or application, such as response time, throughput, and error rate.
Transactions page: Use the APM transactions page to identify transactions that might be causing the problem.
Distributed Tracing: With distributed tracing, you can get an end-to-end view of a single request across your services and quickly identify slow and error traces.
Externals: The external services page captures calls to out-of-process services such as web services, resources in the cloud, and other network entities.
Databases: The databases page shows an application’s database and cache data with charts to view throughput, response time and operations.
Metric explorer: Use the metrics explorer to view your metrics and facet by various dimensions and create dashboards.

Store data in an encrypted storage solution with NerdStorageVault

Tue, 13 Oct 2020 00:00:00 +0000

NerdGraph allows you to access your New Relic data, but when you want to fetch third-party data, NerdStorageVault allows you to safely store a secret to authenticate with a third-party service.

NerdStorageVault provides you with a secure and encrypted storage location where you can safely store:

Personal access tokens
License keys
API keys
Third-party secrets

NerdStorageVault is currently only available in the alpha release of the nr1-community component library and is not available in the New Relic One core components library. The feature uses AES-256 encryption.

Veneur sink: Your pipeline to 3rd party metrics

Fri, 30 Oct 2020 00:00:00 +0000

Build a pipeline to send metrics to New Relic using our Veneur sink. If you’re monitoring your servers with DogStatsD, you can easily switch pipelines and send that data to our Telemetry Data Platform—a single database where you can alert on and analyze that data to detect and resolve issues faster.

Veneur, an open source tool built by Stripe, is a vendor-agnostic proxy-based metric collection pipeline that consolidates disparate observability data, including StatsD or DogStatsD metrics, trace spans, and synthetic checks.

With Veneur you get:

Reduced data ingestion and storage costs by pre-aggregating metrics (such as timers) into percentiles
Improved efficiency over other metric aggregator implementations because vendors charge based on the number of metrics they consume
Improved reliability by building a more resilient forwarding system over single points of failure

Three big updates for your native mobile apps

Thu, 29 Oct 2020 00:00:00 +0000

The New Relic iOS and tvOS agents will now be distributed as the New Relic XCFramework Agent 7.0.0. This agent supports iOS, tvOS, and the newly added iOS for Mac Catalyst. Additionally, the New Relic XCFramework Agent will be distributed as a dynamically linked library.

If you’re looking to instrument your React Native applications, try our experimental open source React Native Module. The module uses native New Relic agents to expose the Javascript environment. You’ll be able to capture the following data as custom events from your React Native applications:

Interactions and the sequence they created
Information passed to New Relic to track user sessions

We’ve improved reliability from our Android service and changed the way our service handles Android stack deobfuscation to make crash and handled exception stack traces more accurate after retracing. These fixes will be released to production in the following weeks, so stay tuned.

API keys app

Thu, 12 Nov 2020 00:00:00 +0000

With the new API keys app you can create, view, and manage your user keys, ingest-license keys, and ingest-browser keys for your accounts. Any existing keys will continue to work as they have in the past.

The new API keys page also has links to the Insights keys page and the old version of the API keys page, so you can still view and manage account-wide REST API and Admin API keys.

For more about how to find the UI and more about API keys, see API keys.

Enhanced errors experience in New Relic One

Mon, 09 Nov 2020 00:00:00 +0000

We’ve heard your feedback and improved the new Errors experience in New Relic One. Find the errors you’re looking for with familiar grouping controls based on NRQL attributes. Then see all your error events and stack traces in one place, giving you exactly what you need to reproduce (and fix!) the problem. These improvements to the Errors experience for services are available now to all New Relic users with Pro or Enterprise Full-Stack Observability. Just switch Show new view to ON when looking at Errors for your service.

Invite a teammate

Tue, 10 Nov 2020 00:00:00 +0000

Observability is even better with a friend. Now you can easily invite people on your team to experience New Relic One with Invite your team.

Percentiles now available in events-to-metrics service

Tue, 01 Dec 2020 00:00:00 +0000

New Relic provides an events-to-metrics service that lets you generate metric data from your event data and log data. Metrics are aggregates of your event and/or log data and are optimal for analyzing and monitoring trends over long time periods.

Now you can use the percentile() function to return an attribute's approximate value at a given percentile. To do so, create an events-to-metrics NRQL query rule using the distribution metric type. The distribution metric type creates a distribution metric data point for each time window (currently 1 minute).

Example: SELECT distribution(duration) AS 'service.responseTime' FROM Transaction WHERE appName = 'Data Points Staging' FACET name, appName, host

Once you’ve created your distribution metric type, you can query your desired percentile as follows:

SELECT percentile(service.responseTime, 95) FROM Metric

New Relic Lambda extension

Thu, 12 Nov 2020 00:00:00 +0000

The newrelic-lambda-extension runs alongside your AWS Lambda functions and automatically sends your Lambda platform telemetry directly into New Relic’s unified observability platform. Once there, you can quickly visualize your data with minimal latency and cost.

Agentless syslog onboarding for New Relic log management

Thu, 28 Jan 2021 00:00:00 +0000

Native support for forwarding syslog data via rsyslog and syslog-ng: This new TCP endpoint significantly expands the options available to you for easily ingesting log data without installing, configuring, or maintaining third-party forwarders. Select data from the host, tail specific logs, or easily send detailed log data from firewalls and other network devices.

To get started, check out our online documentation for simple steps specific to your environment and needs.

New Anomalies feed as part of AI overview page

Tue, 19 Jan 2021 00:00:00 +0000

With the new Anomalies tab in the consolidated Applied Intelligence Overview, you can now view all your anomalies in one place to quickly gain a sense of the state of your system. You’ll see Anomalies alongside Issues and Incidents.

A demo of how to explore system anomalies from Alerts & AI > Overview in New Relic One.

In this new tab you can quickly focus on the areas that matter most to you with easy filtering by state, application name, config name, or anomaly type. You can even select an area of the stacked bar chart to filter to a specific time window to see the state of your system's anomalies.

To see and explore the anomalies in your system, navigate to Overview within Alerts & AI, then head to the Anomalies tab.

Recap: Top 10 new observability features you need to know

Mon, 07 Dec 2020 00:00:00 +0000

A new season represents a time for change. As we reflect on the past few months at New Relic, we’ve had quite a few changes of our own. In July, we simplified our pricing model and reimagined New Relic One. Since then, we’ve released 40+ new features, capabilities, and integrations to help you deliver value to your customers.

To recap this season, we’ve asked our engineers and product managers to list their favorite features to help you be more productive and collaborative.

Here are the top 10:

1. Dark mode

When you're resolving incidents in the middle of the night or want to avoid straining your eyes, you can view New Relic One in dark mode. Dark mode is way more than just a cool feature (though it still is that). For many industries, dark mode is essential. Learn more here.

2. New AWS integrations

Get end-to-end visibility into your AWS cloud services and the rest of your stack with valuable new integrations:

AWS Lambda Extensions make it substantially easier to send telemetry data from AWS Lambda to New Relic One.
AWS Control Tower automatically integrates with New Relic One for single or multi-account environments enrolled in AWS Control Tower.
AWS Distro for OpenTelemetry uses the OpenTelemetry Collector and New Relic exporter to send telemetry data from your AWS services to New Relic One.
AWS X-Ray integration automatically combines traces from AWS managed services with traces from New Relic for end-to-end observability visualized entirely within New Relic One. You can capture, filter, and query it all—no manual instrumentation required.
Amazon Kinesis Data Firehouse helps you ingest and forward CloudWatch Logs data into New Relic One to expand the insights into your cloud stack.
AWS Bottlerocket helps provide full visibility into workloads and infrastructure, including Amazon EKS and Amazon ECS in New Relic One.

New Relic also achieved AWS Outposts Ready Designation, which recognizes that New Relic One offers complete visibility into AWS compute, storage, database, and a full range of other available AWS services in the AWS regions.

If you build, deploy, or maintain apps and critical workloads on AWS, you can now get full, instant access to all of New Relic One for free, and only pay for what you use beyond 100 GB per month when you subscribe to New Relic in the AWS Marketplace.

3. OpenTelemetry UI

New Relic One now has a UI dedicated to providing full APM functionality for your OpenTelemetry data. Send your OpenTelemetry data to New Relic using one of the OpenTelemetry exporters and quickly discover and analyze your data to optimize the performance of your applications and services using one of seven key pages. Learn more.

New Relic OpenTelemetry UI

4. New Relic Edge with Infinite Tracing

New Relic users with Pro or Enterprise Full-Stack Observability can now access and benefit from New Relic Edge with a fully managed, cloud-native, tail-based distributed tracing service. This new service observes 100% of all application traces across your distributed systems, and provides visualization and storage for the most actionable data so you can investigate and solve issues faster. Learn more here.

New Relic Edge with Infinite Tracing UI

5. What’s new?

When there are product updates, New Relic One notifies you and directs you to What’s new, your in-product destination to learn more about what we’ve released. There, you will find posts for each new feature with a brief description, resources, tips-and-tricks, and best practices to ensure you are productively leveraging the latest innovations and getting the most out of New Relic One. Learn more here.

Go to What's new to see recent feature additions and updates.

6. Anomalies visible in the activity stream

You can now view anomalies with the activity stream, which is visible from the New Relic One homepage, APM summary page, and APM list page. The activity stream displays recent events from alerts and deployments and provides a direct view into what has changed in your system so that you can fix outages quickly. Learn more here.

Anomalies visible in activity stream

7. Kafka Connect

Unlock open source and alternative instrumentation sources by ingesting data from Apache Kafka topics into New Relic One, without writing a single line of code, with the New Relic connector for Kafka Connect. Learn more here.

New Relic connector for Kafka Conect

8. Windows support for logs

You can now send all of your logs to New Relic using the infrastructure agent in Windows. This feature includes new filters to select exactly which log types (application, security, or system) and messages you are interested in, all the way down to the EventID. Learn more here.

We now support Windows logs via our infrastructure agent.

9. Share with permalink

Share insights, dashboards, and curated views from anywhere in New Relic One by clicking the permalink icon to copy a short, permanent URL to your clipboard automatically. Learn more here.

Share New Relic UI views and dashboards with permalinks.

10. Scheduled alert muting

Now you can schedule when you want to mute alerts to avoid messages during maintenance or deployments. Learn more here.

Schedule times when your alerts are muted.

11. Bonus! Observability for Good

At our Nerd Days 1.0 event, New Relic introduced a new partnership with Code for America and announced The Observability for Good Program, a new product donation program designed to help NGOs, nonprofits, and charities worldwide leverage the benefits of observability to advance their missions. Eligible organizations get:

1TB of free data ingest per month in the Telemetry Data Platform
Up to 5 free standard users with access to Full-Stack Observability
50% discount on Applied Intelligence
Additional platform discounts for use beyond the free tier
Access to ticketed support services
Access to NewRelic.org programs, such as our pro bono program, where New Relic employees will volunteer to help not-for-profit customers with scoped technical projects to ensure optimal use of New Relic One

To check out the top 10 features and more in New Relic One, login and click the megaphone icon on the New Relic One homepage.

New Python agent features

Thu, 21 Jan 2021 00:00:00 +0000

Httpx instrumentation: Python agent now automatically instruments external web requests made with the HTTPX client module.

Django ASGI instrumentation: Django’s ASGI mode is also supported through automatic instrumentation.

New Relic Snowflake integration

Wed, 13 Jan 2021 00:00:00 +0000

New Relic now integrates with Snowflake to give you a broad view across costs, performance, security, and availability. Common use cases include helping you:

Detect and resolve warehouse performance issues.
Optimize costs—whether that’s expensive queries, users running many queries, or warehouses that contribute the most to your bill.
Detect potential security issues and failed logins.
Monitor and alert on custom Snowflake data.

An example Snowflake integration chart.

Schedule recurring muting rules

Wed, 06 Jan 2021 00:00:00 +0000

Muting rules now have even more functionality, allowing you to schedule recurring times when you want to mute incident notifications. Scheduling a single occurrence for muting was already possible and now you can specify a start date and time and end date and time and also specify how you would like the rule to repeat out of the three options below:

Daily: The rule will activate every day, between the times specified.

Weekly: The rule will activate every week, between the times specified, on the specific days of the week you choose.

Monthly: The rule will activate once a month, on the day of the month specified. In the screenshot below, if monthly were selected, the rule would activate every month on the 7th.

How to schedule a recurring muting rule in New Relic One

After specifying the recurring schedule, you can define when, or if, the schedule should stop. This can be specified as either a specific date, or a defined number of occurrences as in the example above.

Check out the Nerdlog

Mon, 08 Feb 2021 00:00:00 +0000

Love the product updates you see here? Check out the Nerdlog, our brand new live-stream changelog on Twitch.

Every Thursday at 12 p.m. PT (8 p.m. UTC) live on Twitch, you can:

Learn about the latest features from the people who built them: Watch New Relic product managers and engineers play with the latest features and integrations to help you navigate New Relic like a pro.
Get some knowledge and a little inspiration: Walk away with tons of resources, projects with step-by-step instructions, and all your questions answered.
Connect with other engineers: Engage directly with New Relic product managers and engineers. Share your experiences with other New Relic users and have fun as you learn about observability.

If you miss any episodes, you can always check back here or head to the What's new docs site, or you can check out the Nerdlog YouTube playlist and subscribe to our weekly Nerdlog emails to get product updates directly in your inbox.

Data Dropping update: Now, drop entire dimensional metrics

Thu, 11 Feb 2021 00:00:00 +0000

Now you can drop entire metrics at ingest (in addition to events, logs, and traces), allowing you to manage cardinality, data volume, and sensitive data. So, when you identify metric data that you don’t want to send to New Relic, instead of waiting multiple days to redeploy your service, one quick GraphQL command will immediately stop those metrics from being stored in our Telemetry Data Platform.

To get started, follow the steps detailed in our documentation.

Nerdlog Roundup: K6 load testing and the ServiceNow and Snowflake integrations

Fri, 19 Feb 2021 00:00:00 +0000

Use ServiceNow integration to keep correlated issues in sync

Senior Product Manager Shachar Brenner showed us how to keep correlated issues in sync with the ServiceNow integration. Follow these instructions to configure Incident Intelligence or go directly to New Relic One to add a destination.

Optimize your Snowflake warehouse performance, security, and costs

Senior Solutions Consultant Daniel Fitzgerald showed us how the New Relic Snowflake Integration helps teams optimize their Snowflake warehouse performance, security, and costs by using New Relic Alerts and NRQL queries to monitor and alert on custom Snowflake data. To set up the Snowflake integration, follow the instructions on GitHub or read Daniel's blog.

Visualize and share k6 performance data

Solutions Architect Gary Spencer showcased how teams can visualize and share k6 performance data in New Relic dashboards, compare load impact with system performance, and alert on metrics with the New Relic StatsD integration. For more resources about k6 load testing and instructions on how to get started, check out the GitHub repo or watch the 5 minute Nerd Byte.

Don’t miss the Nerdlog LIVE every Thursday at 12 p.m. PT (8 p.m. UTC) on Twitch to get the latest product updates from the people who built them. Subscribe to our weekly Nerdlog emails to get product updates like these directly in your inbox.

Nerdlog Roundup: Ingesting OpenTelemetry data, RUM, and more

Thu, 25 Feb 2021 00:00:00 +0000

Ingesting OpenTelemetry data with New Relic One

Get an overview of OpenTelemetry and see how ingesting OpenTelemetry data is easy with New Relic One for better integration, end-to-end visibility, and instrumentation. To get started, head to the GitHub repo.

Real-user monitoring support for Google Core Web Vitals

Learn about Google Core Web Vitals and the importance of using New Relic Browser Monitoring to monitor browser performance. Learn to install the Browser monitoring agent.

Data dropping via NerdGraph

Learn how to drop dimensional metrics (in addition to Events, Logs, and Traces) at ingest to manage your data. Head to the NerdGraph API explorer.

Agentless Syslog Onboarding and other Logs updates

Get updates on all things Log management and an overview of Agentless syslog onboarding. Read more about Agentless Syslog Onboarding.

New Relic Explorer: Say goodbye to blindspots

Wed, 24 Feb 2021 00:00:00 +0000

New Relic Explorer lets you discover emerging issues in real time, without relying on static, pre-configured thresholds or dashboards, because crucial changes in your estate are highlighted across all your accounts. View everything in one place, including open source and third-party data, with zero configuration. At a glance, gain instant understanding of health and changes across your entire environment so you can zoom in to analyze, understand, and resolve issues faster.

New Relic Explorer includes several new approaches to visualizing, exploring, and understanding your entire estate:

New Relic Lookout provides a real-time view across all your accounts, highlighting changes in all your telemetry, regardless of instrumentation source—even third-party and open source data—in an easy-to-understand, accessible user experience that requires no configuration. An intuitive circle visualization, with color indicating severity of recent changes and size conveying the scale, draws your attention where it’s needed most.

Beyond showing key metrics of throughput, response time, and errors, you can view changes in any signal in your telemetry data that you find important, across all your accounts. You can analyze changes with performance, abnormal history, correlations, traces, and error profiles to quickly uncover blind spots and unknown relationships so you understand what’s changed and why. That way, you can resolve issues before they impact your customers. Get started with Lookout and learn more about Lookout.

New Relic Navigator also offers an estate-wide view of your system. It filters the view by entities rather than changes, and it displays the health of your estate in a highly dense honeycomb view with traffic-light colors based on alerts so you can quickly explore your entire environment, understand health status, and resolve issues quickly.

New Relic Navigator lets you explore all your entities belonging to all your accounts, focusing on specific entity types or specific groups of entities organized by tags to quickly zero in on issues. When you have thousands, or tens of thousands of hosts, containers, and services, this capability makes it easy for you to explore everything in one place.

Related Entities shows you all the entities related to a specific application, host, container, or integration. It lets you quickly understand which upstream or downstream services are related to an issue, gives you a broader view of the overall health of your system, and helps you troubleshoot issues faster. New Relic automatically detects most relationships, but you can also create your own relationships to make sure that you have the most complete map of your environment.

AIOps Made Easy: Cut down on alert noise

Mon, 15 Mar 2021 00:00:00 +0000

Enhanced correlation abilities in Applied Intelligence make it easier than ever to reduce alert fatigue so you can find and fix the real issue.

Relationship-based correlation

You can now correlate related alerts and events using relationship data from any source. CMDBs, home grown relationship stores, and New Relic entity relationships can now help you reduce noise and increase context for on-call responders.

In addition to correlating alerts using time-based clustering and context from alert messages, you can now ingest topology data from your relationship datastores (CMDBs) to enable more accurate correlation of alerts that are firing from connected services or other monitored entities. Stop reacting to individual symptoms and start responding to the actual issue at hand with more context about how they impact your broader environment, so you can prioritize problems accurately and efficiently.

Create correlation decisions faster with correlation assistant

The correlation assistant feature gives you even more control over how you reduce alert noise. Select incidents that should be correlated and New Relic analyzes them to show commonalities that you can use to create a decision. Additionally, Applied Intelligence is smart enough to simulate your configuration and show, in real-time, the decision could reduce alert noise and increase context in the future.

AIOps Made Easy: Detect unusual changes instantly

Wed, 10 Mar 2021 00:00:00 +0000

Improve your incident response. These features help you detect problems before they become issues or worse.

Free automatic proactive anomaly detection

Applied Intelligence automatically spots anomalies based on golden signals like throughput, errors, and latency across all applications and services—and it’s now automatically enabled for all your instrumented apps and services without configuration, and at no additional cost. With a real-time feed of every anomaly and in-depth analytics, you can create dashboards and query your anomaly data and even integrate it with Incident Intelligence. Click on any anomaly to bring up an automatic analysis of likely causes and see related signals for upstream and downstream services. Get notified in your collaboration tool of choice, like Slack so you can troubleshoot faster and prevent potential problems from impacting customers.

Anomalies are automatically surfaced in the Applied Intelligence anomalies feed and activity streams throughout New Relic One.

Find anomalies in logs with Log Patterns

We now offer a new capability that uses machine learning to automatically cluster, detect patterns, and surface outliers in your log data, so you can explore millions of log messages in a single click and reduce your manual troubleshooting time. Log Patterns is currently in public beta—if you’d like to turn it on for your New Relic account, reach out to your customer success manager.

Investigate alerts analytics

A new integrated landing page highlights insights and analytics about how your alert configurations are performing.

AIOps Made Easy: Get to root cause and respond faster

Wed, 17 Mar 2021 00:00:00 +0000

See the probable root cause(s) of every issue

Applied Intelligence gives you automatic insights into the probable root cause of every issue. You can quickly see why each open issue occured, which deployments contributed, relevant error logs and attributes, and an opinionated probable cause to help you investigate the problem faster than ever. Applied Intelligence scans the distribution of every single attribute within event data ingested, and surfaces possible causes by finding significant changes in the distribution. For example, for every single transaction event generated, we can scan to see if a single user starts to take up an unusual share of the requests sent to your app.

In addition, root cause analysis automatically classifies issues based on golden signals like errors, traffic, latency, and saturation so you can quickly orient yourself to why the problem occurred.

Also, learn more about root cause analysis straight from our product team here.

Understand the impact and scope of every issue

You can see which entities (hosts, containers, applications) are affected to quickly and accurately assess scope and determine what needs to be remediated. You can isolate the source of the problem with automatic insight into how services and components of your environment are impacted by every issue.

Two-way integration with ServiceNow for correlated issues

Adding to our existing two-way integration with PagerDuty, you can now eliminate the toil of managing incidents across tools by syncing the state of correlated issues in Applied Intelligence with ServiceNow incidents bi-directionally. As the state of correlated issues changes in either platform, it is now automatically updated in both tools. Applied Intelligence also supports a webhook for integrating with VictorOps, OpsGenie and other tools of your choice.

Learn more about two-way integration with ServiceNow straight from our product team here.

Suggested responders for New Relic Alert incidents

Get automatic recommendations for individuals on your team who are best equipped to respond to an issue, either because they are experts in the component failing or have resolved similar issues before. This enhancement builds on our existing support for suggesting responders based on PagerDuty incident data, by suggesting responders for issues that originate from New Relic Alert incidents. Best of all, this feature is completely automatic and requires no configuration or model training—it just works out of the box as New Relic learns from the behaviors of responders on your team.

Heroku cloud integration for log management

Tue, 16 Mar 2021 00:00:00 +0000

In our ongoing commitment to constantly innovate and build more integrations for the most common sources, we’re excited to announce we now provide built-in integration for Heroku.

Get started

Download and install the Heroku CLI.
Create a syslog drain that will send logs to New Relic and attach it to your app: heroku drains:add syslog+tls://newrelic.syslog.nr-data.net:6515 -a YOUR_APP_NAME
Run the following to retrieve the drain token assigned to the drain created in step 2: $ heroku drains -a YOUR_APP_NAME --json

Copy the value from the token attribute returned by the command above:

  {
    "addon": null,
    "created_at": "2018-12-04T00:59:46Z",
    "id": "906262a4-e151-45d2-b35a-a2dc0ea9e688",
    "token": "d.f14da5dc-106b-468d-b1bd-bed0ed9fa1e7",
    "updated_at": "2018-12-04T00:59:47Z",
    "url": "syslog://logs.example.com"
  }

Launch Logs in one.newrelic.com, and click Add more data sources.

Click on the Heroku tile, add your drain token, and select an Insights Insert API key to map it to.
Click Add Heroku drain log and logs will begin flowing to your New Relic account within seconds.

Watch the Nerdlog Segment

Learn about sending logs from Heroku to New Relic One directly from our product managers and engineers.

You can get the scoop on the latest New Relic features from the people who built them, live at 12 p.m. PT (8 p.m. UTC) every Thursday on Twitch.

Amazon CloudWatch Metric Streams

Wed, 31 Mar 2021 00:00:00 +0000

More metrics, more often - fill gaps in your observability with Amazon CloudWatch Metric Streams and New Relic One

More metrics more often means that you’ll receive Amazon CloudWatch data from all the AWS services you use as soon as they are available. Keep your applications running in the AWS Cloud humming. Less delay equals faster decisions. Correlate, analyze, visualize, and alert on the Amazon CloudWatch metrics for all of the AWS services your AWS cloud-based applications use.

Two integration modes are available when you create a new AWS integration.

Once you’ve completed setup, you can bring the data from AWS into dashboards right alongside the other New Relic One data available to you. The example below shows metrics from New Relic One’s Synthetic and Infrastructure Monitoring right next to the AWS Application Load Balancer and RDS database Metric Streams data.

The Metric Streams data is stored in New Relic One’s Telemetry Data Platform as dimensional metrics of the summary type and can be queried using NRQL and used in Navigator and Lookout.

This is the Navigator view grouped by AWS namespaces.

Below is the Amazon CloudWatch Metric Streams status dashboard from Infrastructure -> AWS -> Account status dashboard

Check out this short video walking through Amazon CloudWatch Metric Streams benefits.

To get started:

Navigate to Infrastructure
Click AWS to set up your AWS integration today

FedRAMP: Logs and Metrics now certified

Wed, 31 Mar 2021 00:00:00 +0000

Accelerate government IT modernization

Protecting your data is our highest priority, which is why we achieved the US Government’s rigorous FedRAMP Moderate certification in 2020. And now we’re adding support for Logs and Metrics to our long list of supported services.

New Relic’s FedRAMP authority to operate enables US federal government customers (and those that work with the federal government) to get the same level of real-time insights as commercial organizations, while still ensuring compliance with established security standards

Access to New Relic’s FedRAMP environment is based on the following:

Your account must be specifically approved by New Relic.
You must send your data only to New Relic’s FedRAMP-designated endpoints.

Check out the Nerdlog segment below to learn more:

Kubernetes: Metric update

Tue, 30 Mar 2021 00:00:00 +0000

The container_memory_usage_bytes metric isn't an accurate indicator for out of memory (OOM) prevention as it includes cached data (i.e., filesystem) that can evict in memory pressure scenarios. However, the container_memory_working_set_bytes metric excludes cached data and is what Kubernetes uses for OOM/scheduling decisions, making it a better metric for monitoring/alerting memory saturation. This change will be reflected within New Relic One as follows:

Predefined alert conditions. The “Container memory usage % is too high” alert condition now uses the new memoryWorkingSetUtilization attribute instead of (memoryUsedBytes/memoryLimitBytes)/100.
- Please note that existing alert conditions won’t be automatically updated. If you are using our predefined alert policy, we strongly recommend you to update it accordingly.
The following widgets are now using working set bytes in Kubernetes dashboard:
- Resources Used
- Container Memory Usage - % Used vs Limit
- Container MBytes of Memory Used
- Node Resource Consumption
Golden metrics definition for containers will now use memoryWorkingSetBytes
The Kubernetes cluster explorer now shows the container's memory consumption compared to the limit, using the WorkingSetBytes metric in the Pod preview
New alerts can now be created based on:
- Memory Working Set Bytes
- Memory Working Set Utilization
- Requested Memory Working Set Utilization

These attributes can be used to define thresholds in the integrations section of the infrastructure alerts when selecting the K8sContainerSample data source, and they can also be used for nrql alerts.

Nerdlog Roundup: See hosts, services, containers, and more in one view with New Relic Navigator

Wed, 10 Mar 2021 00:00:00 +0000

In the modern microservice world, we all have more hosts, services, and containers running than any person can easily keep track of.

In the latest Nerdlog episode, Matthew Demyttenaere, Product Manager for the New Relic Navigator, shares how every user can embrace microservice architecture with access to a new high-powered view that gives real insight into your whole stack, all from a single view. Check out the blog for more information about getting started.

Now when you’re awoken in the middle of the night, the Navigator’s honeycomb view gives you the “traffic light” status for all of your entities at once so that you can quickly explore the health of your environment at a glance.

Nerdlog Roundup: New Relic Lookout, guided install, and open source docs

Thu, 25 Mar 2021 00:00:00 +0000

New Relic Lookout: Embrace the purple bubble

Lindsy Farina, Senior Product Manager, and Andrew Ettinger, Senior Software Engineering Manager, demonstrate how New Relic Lookout helps you dive deep into anomalous behavior (that don’t have set alerts), analyze any data in the Telemetry Data Platform (including third-party, open, and custom data), and proactively spot emerging problems in a real-time visualization of all system components. The brighter the color, the more severe the change, and the bigger the size, the bigger the scale.

Get started with Lookout here (no configuration or setup required) or follow the instructions below:

Select Explorer in the navigation bar.
Select the Lookout button in the upper right to see the view of what’s changed.
Click on a highlighted circle to get important details like activity, tags, and key metrics.

Guided install: Remove the anxiety from instrumentation

Justin Eveland, Software Engineer, shows us how guided install works to help you instrument your applications and infrastructure to start seeing your data in New Relic within minutes. With a single CLI command, guided install discovers all the systems running on your hosts and recommends automatically instrumentation options to you. Recipes are stored in YAML files in our Open Install Library, allowing you to modify them or even build your own for your own unique instrumentation needs.

Get started with guided install here or follow the instructions below:

Click “Add More Data” at the top right of your home screen
Select “Guided install.”

Open source docs: Fork these docs

In a reader survey last year, more than 50% of you said you were interested in editing our docs, and 70% said you’d like to file issues. Now is your time to shine. Austin Schaefer, Senior Manager, Docs and Michelle Fredette, Lead Writer, Docs show us how.

To get started on our open source docs site, Click the “edit” link on the right panel anywhere on docs.newrelic.com or visit the GitHub repo.

Don’t miss the Nerdlog LIVE every Thursday at 12 p.m. PT (8 p.m. UTC) on Twitch to get the latest product updates from the people who built them.

Nerdlog Roundup: Muting rules, custom data visualizations, and more AIOps fun!

Mon, 08 Mar 2021 00:00:00 +0000

Finding anomalies with New Relic AIOps

Sr. Product Manager Devin Cheevers shows how our Anomalies feed can help give you a great overview of any changes or issues within your system. Learn more about anomalies here and view your anomalies here in New Relic One.

Using AI to find correlated failures

Principal Product Manager Nate Heinrich shows us how anomalies and alerts can be automatically correlated with other data sources via incident intelligence.

Smart alert muting

Sr. Product Manager Brian Goleno shows us how to use muting rules to stop being bombarded by messages you don't want. Once you've spotted the common elements in your unwanted notifications, you can define muting rules that specifically target those elements, while letting other notifications through. Even when a notification is muted, Alerts still gathers data on those incidents, which is visible in Applied Intelligence. Learn more about muting rules here and enable muting rules in New Relic One

Custom data visualizations

Sr. Software Engineer Jewels Nocera gives us a detailed overview of creating custom visualizations to display data exactly how you want in New Relic One.

Troubleshoot performance and crash issues faster with New Relic's real-time Java profiling

Tue, 03 Nov 2020 00:00:00 +0000

We’ve built a unified dashboard that helps you get immediate visibility for all your Java Virtual Machines (JVMs) to understand cluster behavior over time. As you dig into each JVM, you can see a wealth of profiling data that enables you to quickly diagnose and address bottlenecks in code performance, locked threads, inefficient garbage collection (GC), and memory leaks.

You can deploy the New Relic Java Flight Recorder (JFR) daemon to enable this new capability, with or without the New Relic Java agent. If you do use the Java agent, the New Relic profiler for Java also correlates JVM profile data with relevant distributed traces and logs, so that you can troubleshoot performance faster and all in one place.

Visualize log details in dashboards with our new Logs table widget

Tue, 16 Mar 2021 00:00:00 +0000

Log messages are unique in their patterns and length, and we leveraged a new custom visualization feature to create an easy way to add log messages to your dashboards. Using this new feature, long log messages with lots of attributes can wrap, and columns can easily be resized. To use this feature just click on the icon in the top right of the of the log messages panel.

Combine your log messages with the rest of your Telemetry data already living in New Relic One. Want to know how to turn on logs to improve the scope and granularity of insight into your full stack? You can get started right now!

Check out the latest Nerdlog episode to learn more about the improvements we've made to the logs user experience:

Nerdlog Roundup: Root cause analysis, topology (relationship-based) correlation, and more!

Thu, 18 Mar 2021 00:00:00 +0000

Cut MTTR with Free Automatic Proactive Anomaly Detection

If you’ve worked in Ops for any period of time, you’ve seen services fail that you wish had sent you an alert when they started acting up. With New Relic’s anomaly detection, you can use the power of AIOps to warn you when a service looks like it’s in trouble. Proactive Anomaly Detection is now automatically enabled for all your apps and services, without configuration and for free, to help you detect problems and flag pesky patterns faster.

Sr. Product Manager Devin Cheevers and Principal Product Manager Nate Heinrich Senior Product Manager Devin Cheevers gives us an overview of where you can view your anomalies in New Relic One. Check out the Applied Intelligence anomalies feed, join the conversation, and review the docs for more info.

Find problems fast with root cause analysis

We know that it can be hard understanding why, when, and where issues occur in your stack. Now, New Relic One will analyze issues and propose a root cause automatically on an issue page in Alerts & AI. Instead of looking at a single event, you’ll see a grouping of events and even possible attributes to investigate.

Devin and Nate show us how and why New Relic’s root cause analysis helps you spend your time working on things that matter.

Increase context for issues using topology correlation

We want to provide you with the right context so that you can prioritize problems accurately and efficiently.

Nate closed out the show explaining how topology (relationship-based) correlation uses multiple systems to discover how anomalies may be connected, and increases the quality of your event correlations and speed at which they are found.

Check out the ‘AIOps Made Easy’ posts in What’s New for even more information on the AI ops goodness.

Don’t miss the Nerdlog LIVE at 12 p.m. PT (8 p.m. UTC) this Thursday on Twitch to get the latest product updates from the people who built them. Subscribe to our weekly Nerdlog emails to get product updates like these directly in your inbox.

Slow transactions on the service summary page

Tue, 30 Mar 2021 00:00:00 +0000

With the slow transactions list, you can jump to a complete slow trace of one of your top five most time-consuming transactions with one click from the Summary page. You can also, for the first time, see the error rates for those transactions, to instantly identify which code path is responsible for an increase in errors.

“Most time-consuming” means the transactions that your service is spending the most total time processing, expressed as throughput multiplied by average response time.

As with other charts on the Summary, you can filter the slow transactions list to different types of transactions (web, non-web, and so on), or to transactions served by a particular instance of your service, using the filter controls at the top of the page.

The slow transactions list is available today for services instrumented with the New Relic agent.

Dynamic Anomalies for all your services and infrastructure

Tue, 25 May 2021 00:00:00 +0000

Business services and infrastructure are always changing. Now, instead of needing to understand the expected performance of an individual service so you can manually specify a static threshold, you can easily use dynamic thresholds by creating anomaly alert conditions that cover all of your services and infrastructure. These adjust to accommodate the expected fluidity and volatility of your business.

We’ve expanded our existing dynamic anomaly alerting, which previously had to be individually configured for each individual signal, to allow one alert configuration to apply dynamic thresholding across up to five thousand related time series of a particular service or entity. This greatly simplifies the process of adding alert coverage to all of your entities, by all of your teams. No team should be sitting on the sidelines, and missing the benefits of incident response.

Setting static thresholds can be intimidating to many engineers. It is easy to create dynamic anomaly alert conditions that cover all of your services and infrastructure. Simply add the “FACET” clause to the NRQL queries you are using, and specify the metadata attributes that differentiate the signals that you want to monitor. Then, simply drag a slider to set and tune the sensitivity.

Attend FutureStack May 25-27, the observability event of the year!

Fri, 07 May 2021 00:00:00 +0000

Find new ways to empower you and your engineering teams at FutureStack, our free, virtual event of the year! We’ll have hands-on workshops and sessions on containerization and serverless architectures, AI/ML-powered observability, instrumentation, and more!

Party with The Relicans and special guests Kelsey Hightower and Andy Baio, earn awesome swag, participate in a hackathon, and share your learnings and ideas with other data nerds. Are you ready to connect, learn, and get inspired? To register for free, click here or click Get started above.

Level up at FutureStack May 25-27!

Wed, 12 May 2021 00:00:00 +0000

You can win a one-of-a-kind LEGO model of the New Relic Data Nerd Knuckles built by Tyler Clites. We're also giving away $25,000 and other exciting prizes at FutureHack, our 24-hour hackathon. Are you ready to connect, learn, and get inspired?

Instant Kubernetes observability with Pixie

Wed, 26 May 2021 00:00:00 +0000

We've removed the largest barriers to Kubernetes observability: The time and expertise required to manually instrument application code, by integrating Pixie Auto-Telemetry into our Kubernetes solution. Now, you can get visibility into your Kubernetes clusters and workloads instantly without installing language agents.

Pixie data helps you debug faster than ever before, giving you access to everything on-cluster without sampling, then using AI/ML models to send the most relevant subset of your data to the Telemetry Data Platform for correlation with other services, intelligent alerting, and long term storage. Pixie Auto-Telemetry uses eBPF to automatically collect metrics, events, logs, and traces for your Kubernetes clusters, applications, OS, and network layers.

Start fast: No code to update, new deployments, or lengthy monitoring standardization processes.
Observe everything: Analyze data on-cluster using AI/ML without sampling, storing high-value telemetry data for alerting, correlation, and long term storage.
Debug faster with Pixie’s developer-focused workflows, providing code-level insights.

Get started today

In New Relic One, choose Add more data.
Choose Guided install or EU Guided install.
Choose Kubernetes, and then follow the on-screen prompts.

Nerdlog Roundup - April

Fri, 14 May 2021 00:00:00 +0000

Get the scoop on the latest New Relic features from the people who built them—every Thursday at 12 p.m. PT (8 p.m. UTC) on the Nerdlog, our livestream, interactive changelog on Twitch! We demo new features and answer your burning questions. Subscribe to our weekly Nerdlog emails to get updates (like the ones below) or follow along in What’s New. And if you haven't already, sign up for a free New Relic account today!

Check out what we covered in April:

Synthetics Step Builder: Test your complex website experiences w/o writing code

Synthetic monitoring creates automated testing agents that measure the performance of your site. With our new step monitor, you can automate complex user flows for testing with no code. Read the blog and learn more in What's New.

Sending Logs from Heroku to New Relic

View all your logs and syslog entries in New Relic One by sending your Heroku logs to New Relic One via Heroku syslog drains. Read the blog and get started!

A More Intuitive, Faster Logs UI

New Relic’s new logs UI makes it easier for you to find functionality, like parsing and drop filters in the left hand navigation, examine log details, query and share log data with charts, add log data to dashboards, and so much more! Read the blog, learn more in What's New, and get started today!

Parse and Partition Logs Faster with Machine Learning

Parse and partition log data to help you filter and organize your logs, as well as build better queries and alerts for more insight into your stack. Read the blog, documentation about parsing, documentation about partitions, and learn more in What's New.

Use Guided Install to Add Logs to New Relic One

We’ve made it easy for you to add log data to New Relic One within minutes using our recently-launched guided install feature. Read the blog and get started (or click here to get started if your account reports data through our EU datacenter).

Detect Patterns and Outliers in Log Data

Explore and group millions of log messages, all in a single click, to reduce the time for troubleshooting, identify unusual behavior, and find the most frequent or rarest sets of logs in your environment. Read the blog and documentation, and get started!

FedRAMP Moderate Certification for Logs and Metrics

Many of you operate in highly regulated, federal environments, making it critical that you adopt—and trust—industry-standard security technologies. That’s why New Relic One, the world’s leading observability platform, achieved FedRAMP certification at the FIPS 199 “Moderate” impact level in 2020. Logs and Metrics are now added to our long list of supported services! Read the blog and learn more about our FedRAMP Moderate certification for Logs and Metrics.

Subscribe to our weekly Nerdlog emails to get updates (like the ones above) about the latest features and releases from the people who built them. Join the Nerdlog discussion every Thursday live at 12 p.m. PT (8 p.m. UTC) on Twitch or follow along in What’s New. And if you haven't already, sign up for a free New Relic account today!

Pixie is now open source!!

Tue, 04 May 2021 00:00:00 +0000

Pixie is a Kubernetes-native, in-cluster observability solution that dramatically simplifies the process of troubleshooting and live debugging applications in Kubernetes environments by providing instant access to telemetry data without the need to manually add instrumentation to the code. Pixie is now open source and free forever!!

Click Learn More above or read the blog here for more information, and click Get Started above or click here to install Pixie today!

Diagnose issues faster with AIOps issue maps and more!

Thu, 27 May 2021 00:00:00 +0000

Diagnose issues faster

New Relic Applied Intelligence already helps you and your teams diagnose problems faster by reducing alert noise by grouping alerts into one actionable issue and surfacing probable root cause. We’ve added even more functionality–issue maps, incident analysis, and links to relevant dashboards–to help you quickly diagnose the issue.

Issue maps

Helping you better visualize the relationships between impacted entities within issues in Applied Intelligence, issue maps help you assess the scope of an issue and identify any neighboring entities that may be affected. Learn more about dependancies and dig in for more details such as recent activity, tags, metrics, transactions, and related entities so you can quickly diagnose the cause of the issue.

Incident analysis

In addition to surfacing possible root cause, you can dig into the individual incidents that make up the issue. Now, New Relic will perform automatic analysis on those specific signals, including datastore analysis with links to problematic queries, error analysis with links to code level stack traces, and external service call analysis, so you can more easily investigate the problem and diagnose issues quickly.

Relevant Dashboards

With no configuration, machine learning recommends relevant dashboards so that you can quickly jump in to gain more context. These recommendations will only get better with time and use.

New observability specialist certification for developers!

Thu, 27 May 2021 00:00:00 +0000

Are you looking to extend New Relic One capabilities? Want to build custom apps and request external data into the platform? Now, you can get recognized for your expertise in extending New Relic One so you can highlight your in-demand observability skill set to your organization!

We designed the new programmability certification course for you—engineers and developers who already have a foundational knowledge of New Relic fundamentals—and want to validate your New Relic One expertise.

After completing this course, you’ll be able to create a New Relic One application from scratch, deploy custom visualizations for your dashboards, and more!

Click Learn more to read the blog, or watch the latest Nerdlog episode below for more information:

Note: This certification program assumes you already have existing knowledge of React, Git, and GraphQL.

Keep track of What's New, security bulletins, and more with RSS!

Fri, 21 May 2021 00:00:00 +0000

Have you heard? RSS is back! And we're on board. We've long had release note feeds for agents and downloadable software from the release notes page.

Lately, we've seen lots of requests to add RSS for What's New and our security bulletins, so we've done just that! Now you can subscribe to all the newness New Relic has to offer.

You can plug those feeds into your feed reader, of course, but you can also automatically post to a channel with Slack's built in RSS app or Microsoft Team's RSS app. Or go crazy with IFTTT or Zapier for all manner of RSS-based automation. (Want to create a Zapier workflow that turns your smart lightbulbs green every time we release a new Node.js agent? Go for it!)

We also release weekly Nerdlog episodes on YouTube (in case you miss our interactive livestream every Thursday at 12 p.m. PT on Twitch) to ensure you know about the latest products and features directly from the product managers and engineers at New Relic who built them, and Nerd Bytes episodes on YouTube for quick tips, tricks, and ideas about New Relic and observability. We've got RSS for those too!

Get a link to the feeds

What's New:
```
https://docs.newrelic.com/whats-new/feed.xml
```
Or find the feed from the RSS icon on What's New.

Security bulletins:

https://docs.newrelic.com/docs/security/new-relic-security/security-bulletins/feed.xml

Or find the feed from the RSS link on the security bulletins page.

Nerdlog:

https://www.youtube.com/feeds/videos.xml?playlist_id=PLmhYj7Jl81JGOEHV7zUVfa_iGNyOfMGNh

Nerd Bytes:

https://www.youtube.com/feeds/videos.xml?playlist_id=PLmhYj7Jl81JEV-llIDkCVC05tD7fbOv_b

Agents: We've got too many agents to list all the links! You can find a link by picking your agent from the release notes page and then clicking the RSS icon.

NRQL Alert Conditions, with no NRQL required

Fri, 28 May 2021 00:00:00 +0000

With the new ability to create an alert condition directly within the query builder, configuring alerts to cover all of your services and entities continues to get easier.

If you're not comfortable with the New Relic Query Language (NRQL), you can create basic queries using the query builder tool, and then create an alert condition from the chart that you create. The auto-complete functionality of the query builder lets you explore your data and create alerts without the need to know anything about NRQL.

Alternatively, you can use the data explorer to browse the metrics and event data in your account, click your way to a chart, and create and create an alert condition from there as well.

When creating an alert, we recommend creating a dynamic threshold based alert, which we call a ‘baseline’ threshold, so that you do not need to understand the nuances of creating a static threshold configuration.

Below are the instructions to create an alert condition from the query builder:

From the very top nav of New Relic One, click Query your data.
Choose your query type: Basic, NRQL, or PromQL.
Run the query.
From the action menu on the chart, choose Create Alert Condition.

Control data ingest costs with ingest drill-down

Wed, 30 Jun 2021 00:00:00 +0000

Inspect your data consumption in New Relic to better manage your data ingest and costs. Understand your data usage by each data source, and analyze it using your existing metadata, such as by source, team, and any other data sample attribute.

To get started, go to the Data management hub and select the Data ingestion chart. Get detailed insights by data source by clicking on the colored data band at any point in time that you’re interested in. Add "facets" to analyze your data by selected attributes. Learn more and get started.

To find your data ingest consumption, click Manage your data, then click Data ingestion.

Click the chart to see ingestion by data source.

Errors Inbox: Error tracking across your entire stack

Wed, 23 Jun 2021 00:00:00 +0000

Recently, we launched New Relic Errors Inbox, an error tracking solution that provides you a single place to view, triage and resolve errors across your full application stack. This exciting feature now includes Logs in Context and an integration with Slack.

Read more about the latest updates in our blog post and watch a demo in the latest Nerdlog episode here.

What’s Included with New Relic Errors Inbox:

Errors Inbox. Errors are grouped and displayed on a single screen for visibility and easy triaging. Filter to just the applications and services that you care about.
Rich Error Details. Resolve errors faster with context of the full stack, including APM, Browser (RUM), Mobile, and Serverless (AWS Lambda Function) data. Error data persists to provide continued context for recurring errors.
Log Data. Logs in Context are provided alongside other error data right in the error group details for even more information to resolve errors faster.
Cross Team Collaboration. Work errors as a team with shared error visibility, shared comments, and an integration with Slack.

Next Steps

New Relic Errors Inbox is available to all New Relic Full-Stack Observability customers in the U.S. datacenter. To enable Errors Inbox, sign up for a free account or log in to your existing account and follow these steps:

From one.newrelic.com, select More in the top right and click Errors Inbox.
If this is your first time accessing Errors Inbox, you will be prompted to select a workload in the top left.

Monitor Amazon EKS on AWS Fargate integration with our public beta

Thu, 01 Jul 2021 00:00:00 +0000

We are introducing New Relic's integration for Amazon EKS on AWS Fargate public beta. If you are interested in checking out the beta, please follow the steps found in the documentation.

Our EKS Fargate integration supports any Fargate setup, whether the cluster is only composed of Fargate nodes or if it also coexists with EC2 nodes.

The integration is also compatible with the New Relic One Kubernetes cluster explorer, providing a holistic view of a Kubernetes cluster and rapid troubleshooting.

We've also improved the Kubernetes dashboard to list Fargate nodes and distinguish between standard and Fargate serverless nodes.

Check it out today.

Level up at FutureStack on May 25-27!

Fri, 09 Apr 2021 00:00:00 +0000

FutureStack is a free virtual event with four different deep-dive learning tracks to find new ways to empower you and your engineering teams. Join hands-on workshops covering containerization and serverless architectures, AI/ML-based observability, instrumentation, and more!

Aggregated health and activity for your Workloads

Thu, 08 Apr 2021 00:00:00 +0000

With Workloads, you can group all the entities that make up your complex system into views that make sense to your team.

You don’t need to navigate through all the telemetry that you send to New Relic: your workloads will give you a quick snapshot of how the systems that you and your team are accountable for are doing. And once you have the high level notion of how your system is doing and you need more details, you’ll be able to quickly navigate to other areas in New Relic One.

We’ve released the new Health and Activity views that make it easier to understand the current status of the workload entities, and relate their golden metrics to the latest events such as deployments or incidents.

The Health tab

The new Health tab shows how the global status of your workload changed in the last few hours, along with the current status of the workload entities. Use this view to understand if you need to take immediate action on any of the components that build your system.

Similar to the Navigator view that you can find on New Relic One Explorer, you’ll immediately see which entities are alerting, and will be able to filter and group them by health status, entity type or tag key. When something’s failing, you’ll immediately spot which entities in your system you need to have a look at first.

The Health tab also compiles all the open breaches that affect your workload, with a preview of the conditions that are breached.

The Activity tab

You’ll find the golden metrics of your workload in the Activity tab. These charts will surface trends, spikes and outliers among the entities that make part of your system.

And... don’t miss the new Activity stream! You’ll see all deployments, open incidents, anomalies and even workload configuration changes that can explain why you’re seeing changes in the golden metrics.

And if the charts get too messy, just use the filter bar to scope down the time series you’d like to focus on.

New Relic Workloads is available out-of-the-box to all Full-Stack Observability users, you can start creating them from the Explorer.

Create alert conditions from any chart

Mon, 12 Apr 2021 00:00:00 +0000

Now you can create an alert condition from just about anywhere in New Relic! Well, anywhere where there is a New Relic One chart.

Click on the ellipses icon in the upper right corner of a chart to reveal its action menu. There, you will see an option to Create alert condition.
- If the chart is displaying a single metric, a slide out window will appear to create a new alert condition, with the NRQL query pre-populated.
- If the chart is displaying multiple queries, you will be asked to choose which query you wish to use.
Within the condition creation form, you can select an existing policy, or create a new one.
Then, get right back to your investigation.

Creating an APM alert condition

Improved alert condition creation from logs and serverless experiences

Distributed tracing for Mobile

Wed, 14 Apr 2021 00:00:00 +0000

Our new mobile monitoring agents now support distributed tracing! This new feature enables you to see your mobile app activity and connects it directly to the related services that power your app’s experience. By having this enabled, you are now able to see your mobile frontend spans and backend spans in the same waterfall view.

What do I need to do to take advantage of distributed tracing for Mobile?

Nothing, as long as you are using the latest version! It has been turned on by default. If you have mobile agents running, you may have already started seeing distributed tracing data. If you aren’t seeing mobile distributed tracing data, you may need to update your agents.

Will this increase my data volume?

Yes it will. If you’d like to turn off distributed tracing for mobile, please read these instructions for Android and iOS. Learn more about iOS compatibility by clicking Learn more above.

Where can I view Mobile DT data?

You will see the distributed tracing nav item when looking at an individual mobile application and also be able to access those traces from the distributed tracing app.

Guided install for Java and .NET APM agents

Mon, 05 Apr 2021 00:00:00 +0000

We’ve made it simple to set up APM (Java and .NET) using our recently-launched guided installation flow, so you can instrument your systems and start analyzing your telemetry data in 5 minutes - no instrumentation expertise required.

Our guided install creates a customized CLI command for your environment and the systems you want to instrument. And starting today, we now support Java and .NET APM agents. So no more reading through documentation and manual configuration. Just run guided install, and we’ll take care of the rest!

Get started by selecting Add more data and then choosing Guided install.

Detect patterns and outliers in log data

Mon, 12 Apr 2021 00:00:00 +0000

Reduce troubleshooting time with machine learning to automatically detect patterns that are clustered to surface outliers in log data.

Now, you can quickly find the patterns and use them to create queries, alerts and dashboards. This feature is generally available in beta, and you can easily opt in by contacting your account manager to experience how this innovation can serve your business needs on your own data. In the next few weeks a new option will be provided to turn on/off this feature directly in the UI.

To learn more about how to leverage patterns for logs in New Relic, head to our docs by clicking Learn More above, or to check it out for yourself in New Relic One, click Get Started above.

Check out the Nerdlog segment to learn more about detecting patterns and outliers in log data:

Lightning fast search response with data partitions for log data

Tue, 27 Apr 2021 00:00:00 +0000

Although we’ve always provided the ability to segment data across accounts, our customers wanted to have more granular control to partition data within each account.

With log partitions, administrators have complete control over how to segment log data within each account. Partitions empowers end users to optimize queries by searching within a single partition or select multiple partitions to find the detailed log messages they need.

To learn more about how to leverage partitions for log data in your organization view our online documentation here.

Watch the Nerdlog segment segment below to learn more:

A simpler, more intuitive log analytics experience

Mon, 12 Apr 2021 00:00:00 +0000

In collaboration with our customers, we’ve made significant changes in the Logs UI. With this new intuitive design, now you can efficiently find and use advanced features directly from your main screen. We’ve also dedicated more UI space to logs making it easier to see the details and debug faster.

This updated experience also includes colorization of key messages, a message preview, expanded dashboard visualization for displaying long log messages directly in dashboards, and more!

To learn more about how to leverage all of the latest innovations for logs in New Relic and specifically the new UI experience, head to our docs by clicking Learn More above, or to check it out for yourself in New Relic One, click Get Started above.

Watch the Nerdlog Segment

Learn more from our product managers and engineers about how our new and improved logs UI can help you examine log details and search through millions of logs data faster.

Get the scoop on the latest New Relic features from the people who built them— live at 12 p.m. PT (8 p.m. UTC) every Thursday on Twitch.

Native support for OpenTelemetry (early access available now!!)

Fri, 16 Apr 2021 00:00:00 +0000

New Relic is excited to announce the availability of native OpenTelemetry Protocol (OTLP) data ingestion as a pre-release program! OTLP is an open source gRPC based protocol for sending telemetry data. The protocol is vendor agnostic and open source.

You can now send traces, metrics, and logs directly to New Relic via the open source OpenTelemetry protocol and utilize the out-of-the-box user experiences to quickly discover the data you need to root-cause and optimize the performance of your applications and services.

Extract valuable data with regex capture

Thu, 24 Jun 2021 00:00:00 +0000

We've made it easier than ever to query and extract useful data from strings such as URLs, log messages, and more, using Regex capture. Regular expressions are an extremely powerful tool for finding patterns in strings—and with Regex capture, you can now leverage that power to improve your NRQL queries.

Regex capture works directly within NRQL using the capture function, allowing you to use regular expressions in your queries to extract focused data, such as this:

capture(request_url, r'.*/accounts/(?P<account>\d+).*')

The capture function takes two arguments. The first is the request_url: the attribute containing the URL string. The second argument is a regular expression pattern. Regex capture is built on Re2 syntax, a regular expression library created by Google.

As an example, the below query will find which accounts are using specific service endpoints (the request_url) most frequently:

FROM Transaction SELECT count(*) WHERE request_url LIKE '%data%' LIMIT 50 FACET capture(request_url, r'.*/accounts/(?P<account>\d+).*')

Get started today

Start using Regex capture in your NRQL queries by going to one.newrelic.com > Query builder.
Learn more by reading our NRQL documentation.
Check out our newrelic.com/blog with example queries.

NRQL Updates

Thu, 01 Apr 2021 00:00:00 +0000

Filter your queries with Regex

It’s great how NRQL lets you use OR statements to combine multiple results. But this has some natural limitations: trying to match all strings that start with letters rather than numbers would take a lot of OR statements. But now, you can use RLIKE to use a regular expression for filtering. A query like: SELECT count(*) FROM Transaction WHERE hostname RLIKE 'ip-10-351-[0-2]?[0-9]-.*' lets you tightly control the IPs that match your query. There are some limitations on the complexity of your regex, but if you want to do queries with character ranges, you should be able to do all you need.

Smooth, accurate charts with sliding time windows

‘Sliding time windows’ sounds a bit like a magical patio door. But it refers to an ability to smooth charts for clearer signaling. Using a sliding time window, a set of small, high spikes will tend to group up into one, more visible spike. Adding the SLIDE BY clause will let each data point contain average data about its neighbors: SELECT average(duration) from Transaction TIMESERIES 5 minutes SLIDE BY 1 minute The documentation illustrates how these queries work and how you can use them today.

Nested queries let you simplify further

When you want to reduce cardinality by more than one degree, for example, when you want to see results averaged across time when you have a time x quantity chart, you can now nest your queries to let you further simplify your data. To see a good example of this, watch the last episode of the Nerdlog.

Create synthetic monitors without code

Wed, 21 Apr 2021 00:00:00 +0000

Synthetic monitors are vital to ensuring your customer-facing websites are available, functional, and performing optimally. That’s why we’ve released several updates that make it easier for you to set up synthetic monitors quickly and without code. We also improved the building experience and integrated it with Lookout for full visibility on a single screen.

What's new:

New "step" monitor type: A step monitor allows you to set up a monitor without code. Now more users in your organization can create monitors.
Quickstarts library: This ever-growing list of pre-built scripts for synthetic monitors is community-sourced. Now you don’t have to start from scratch when building monitors.
Visualize synthetic monitors in Lookout: Visualizing the state of all synthetic monitors is easy in New Relic Lookout.
New view for easier monitor creation: We launched a new look for monitor creation that is more visually appealing and does a better job of walking you through the monitor creation process. Note that the new step monitor is only available in the new view. If you don’t see the new monitor type, it's possible you need to click Show new view to see the new UI.

Click Learn more here or above to read the blog for more information and watch a demo in the latest Nerdlog episode below:

PHP agent now supports PHP version 8.0!!

Fri, 23 Apr 2021 00:00:00 +0000

With the release of PHP agent v9.17.0, we have included the eagerly anticipated support for PHP version 8.0! This is primarily for 64-bit environments with the Just In Time (JIT) compilation disabled.

Recommended alert conditions

Tue, 13 Jul 2021 00:00:00 +0000

Configuring incident detection consistently across your entire estate helps you track the overall health of your systems, avoid blindspots, and reduce the time it takes to identify and resolve issues.

We know that creating accurate alert conditions is anything but simple. Knowing which metrics to monitor, and setting the thresholds accordingly, is a task that few have the necessary knowledge of both their systems and of New Relic to feel confident executing. This results in teams only applying incident detection practices to a subset of critical services.

Good news: New Relic One now has an alert condition recommendation service that uses AI and machine learning (ML) to recommend specific metrics and signals to monitor for your specific entities. You can use the provided recommendations or modify them to fit your specific needs.

Here’s how you can add recommended alerts to APM entities that do not currently have alert coverage.

Using recommended conditions

Go to Services - APM in New Relic Navigator and you’ll see a high-density view of the health of your system. With the traffic-light visual, it’s easy to view which entities are healthy, which entities have incidents, and which entities do not have any alerts coverage. If an entity does not have alert coverage, its hexagon will be gray. Recommended conditions helps you automatically add alerts to entities that do not have alerts coverage, those gray hexagons.

Select an entity: Click an uncovered entity (gray hexagon). A new option will appear on the right-hand side of the screen. Click Create alert condition as shown in the image below.
Choose a number of recommended conditions. The recommendations will depend on the quality of the tags associated with an entity. The more accurate and informative the tags are, the more precise the recommendations will be. The image below shows a few possible recommendations based on error percentage, Apdex, and response time.

Learn more about recent innovations in alerting with our PM Brian Goleno here!.

Upgrade your Kubernetes monitoring with Pixie

Thu, 15 Jul 2021 00:00:00 +0000

We’re excited to announce the GA release of Auto-telemetry with Pixie (at no additional cost). Pixie is a significant upgrade to our Kubernetes toolset, and it’s the only solution that (1) removes the monitoring gaps that naturally emerge in Kubernetes environments, and (2) provides code-level insights to developers in ways that legacy tools don’t.

Debug faster with code-level insights for developers.

Drill down into your services without modifying source code, and debug with service maps, flamegraphs, and raw requests.

Live debugging capabilities without sampling.
Real-time service, DNS, and network flow graphs to help understand intra-cluster communication and latency between components.
Flamegraphs to understand where code is running slowly or consuming valuable cluster resources.

Instant, no-code observability

Auto-telemetry with Pixie means every service gets monitoring instantly, and because Pixie is language-agnostic, you don’t need instrumentation expertise. Pixie analyzes data on-cluster without sampling, sending high-value data to Telemetry Data Platform for alerting, correlation, and long-term storage.

To learn more, click here or Learn More above.

HIPAA-enabled observability platform

Wed, 07 Jul 2021 00:00:00 +0000

Today, we’re releasing our HIPAA-enabled observability platform for healthcare industry systems containing Protected Health Information (PHI). As a result, New Relic will now sign Business Associate Agreements (BAAs).

Covered entities including insurance companies, health maintenance organizations, government assistance programs, providers, and clearinghouses can now send application, infrastructure, digital experience, and network monitoring data to the Telemetry Data Platform while maintaining HIPAA compliance.

Our solution supports the following:

Domains: Infrastructure, applications, digital experience, and network
Data types: Metrics, events, logs, and traces
Monitored environments: On-premises and cloud

Learn more at HIPAA enablement - what you need to know and do and reach out to your account representative to get started.

Real time profiling for Java enabled by default with Java agent v7.1

Thu, 08 Jul 2021 00:00:00 +0000

New Relic's real-time profiling for Java using Java Flight Recorder (JFR) metrics allows you to run continuous, always-on profiling of your Java code in production environments. Previously, this feature had to be manually enabled to use. Now, real-time profiling for Java will be on by default for anyone who installs the Java Agent for the first time or downloads the latest release (v7.1). In addition to the Flamegraph feature, this change makes it easier for Java Agent users to quickly identify what happened during an incident and what performance issues led up to it. Learn more about real-time profiling for Java in our blog post or watch the demo.

FAQ

Will this impact my data ingest amount? Yes, if you don’t already use real-time profiling for Java, then you will see an increase in data ingested.
How do I turn off real-time profiling for Java? If you don’t want to use this feature, you can disable it by setting the enabled flag to false.

Network performance monitoring is now available as part of New Relic One

Wed, 25 Aug 2021 00:00:00 +0000

We’re excited to announce the GA release of network performance monitoring (at no additional cost), so you can answer the question, “Is it the network?” faster!

When system performance suffers, you need to know if it’s due to your code, your infrastructure, or the underlying network. And you need to know fast, so you can focus your efforts at the right layer with the right team. With network performance monitoring, you can correlate and analyze app, infra, digital experience, and network data all in one place, and understand how network performance and overall system performance impact each other.

Streamline detection: Rule out or rule in the network without paging your network team.
Improve Mean Time to Resolution (MTTR): Apply the right resources at the right layer faster.
Increase operational efficiency: Discover network anomalies by default.

Solution overview

Devices: Support for all major hardware vendors
SNMP: v1, v2c, and v3
Flow: Streaming telemetry, IPFIX, sFlow, and NetFlow
High-cardinality: Ingest and query high-cardinality network data
Platform analytics tools: Analyze network data alongside app, infra, and digital experience data
Anomaly detection: Discover anomalies on network golden signals

New Relic’s observability platform brings all your observability data together in one place, helping you resolve issues faster. Like any other data flowing into New Relic One, network data is parsed into a set of Golden Signals—automatically curated performance data, such as latency, packet loss, and jitter. Automatic anomaly detection uses these signals to help you discover network anomalies by default. Network-related alerting means you can collaborate on potential problems with network engineers before they manifest into larger issues.

Get started

In New Relic One, click on Add more data or the Get Started link above, select the Network performance monitoring tile, and follow the instructions.

To learn more, click here or the Learn More link above.

Synthetics update: Private locations in the new user interface

Fri, 06 Aug 2021 00:00:00 +0000

Synthetic private locations are now available in the new UI, which means the User Step Monitor can be used in private locations, including several new steps that were recently added. This also means the new SSL Certificate Check and Broken Links Monitor will be available in private locations.

Summary of the Synthetics updates:

Private Locations in the new view. Now customers will be able to use the new monitor types in private locations.
SSL Certificate Check Monitor. This monitor type is easy to set up and checks the expiration and validity period on an SSL Certificate. Now in private locations.
Broken Links Monitor. Just enter a URL and this monitor will check the entire page for broken links. Now available in private locations.
Step Monitor updates. New steps available, including Double-Click Element, Select From Dropdown, Hover Element, Dismiss Modal, and Assert Title

To learn more, click here or Learn more above.

Announcing general availability of New Relic's native OpenTelemetry support

Thu, 23 Sep 2021 00:00:00 +0000

Today, New Relic is excited to announce the general availability of our native support for OpenTelemetry protocol (OTLP) and OpenTelemetry. This includes GA support for trace data and early access support for metrics and logs with our OTLP ingest capability. New Relic’s native support for OTLP features a cost-effective, high-performance observability platform that offers a variety of benefits:

Long-term storage
Powerful querying of your telemetry data
Easy to use dashboarding, analytics, and alerting
Sophisticated applied intelligence

Combine this with AWS Distro for OpenTelemetry to provide a powerful observability solution for your AWS workloads and infrastructure.

Distributed Tracing enabled by default with .NET agent version 9.0.0.0

Thu, 16 Sep 2021 00:00:00 +0000

With the release of .NET Agent version v9.0.0.0, upon agent upgrade, customers will now have Distributed Tracing on by default. This eliminates the need to configure the agent in order to have access to distributed traces. Distributed Tracing gives software teams working in modern environments an easy way to capture, visualize, and analyze traces through complex architectures, including architectures that use both monoliths and microservices.

What’s the impact?

With this change, customers will see distributed traces immediately upon upgrading to .NET version v9.0.0.0. Distributed Tracing on by default provides more data and better visibility for cross-application requests.

If you do not need this feature, it can be turned off in the .NET agent configuration file by setting distributed_tracing.enabled=false OR by setting the environment variable NEW_RELIC_DISTRIBUTED_TRACING_ENABLED=false.

If you need more traces and are experiencing dropped spans, the agent reservoir can be expanded to accommodate more spans. To do so, set environment variable or config item called span_events.max_samples_stored to a value greater than 2,000 up to a maximum value of 10,000. Note that increasing this value may impact memory usage.

With Distributed Tracing on by default, Cross Application Tracing (CAT) will now be deprecated and will be removed in a future version of the agent. Customers on CAT will now see distributed traces instead. Customers who would like to revert back to CAT can do so in the configuration file by setting cross_application_tracer.enabled = true. It is however recommended to stay using distributed tracing, given that CAT will be removed in the future.

Errors Inbox: Now in APM

Mon, 20 Sep 2021 00:00:00 +0000

New Relic Errors Inbox is an error tracking solution that provides a single place to view, triage, and resolve errors across the full application stack. Since launch, we have added several major updates:

Integration with Slack: Send error details to Slack for easier collaboration.
Attribute Analysis: Break down error groups by attribute, like username or device used, to help you investigate the root cause of an error.
Logs in Context: Logs in Context are now available within the error details themselves for streamlined root cause analysis with logs.

Now we have added Errors Inbox to the APM UI, which makes triaging APM errors a breeze without the need to set up a workload. Read more about the latest updates in our blog post.

Watch an extended demo in our recent Nerdlog episode below:

Watch a quick demo below:

Data Nerd Days 2.0 is BACK!

Mon, 25 Oct 2021 00:00:00 +0000

What is Data Nerd Days? They're New Relic's live digital conference curated especially for engineers. We’ll be covering a broad range of topics including best practices, new innovations, and more. We will directly answer your questions on how to plan, build, deploy and operate great software using New Relic.

Register to level up your game and for a chance to win prizes! If you register today and are one of the first 500 to register, you are automatically entered to win a Nintendo Switch. All attendees win sweet swag but the more sessions you go to, the more likely you are to win a Playstation 5 or an Xbox Series X.

For more information about the agenda, go here, but don't forget to register!

Get instant observability with New Relic I/O

Wed, 13 Oct 2021 00:00:00 +0000

We're excited to announce New Relic Instant Observability (I/0), the fastest way to instrument, monitor, and analyze your technology stack while avoiding the burden of manual setup. It is a rich open source catalog of 400+ quickstarts (pre-built bundles of observability tools) contributed by experts around the world, reviewed by New Relic, and ready for you to install in a few clicks.

Solution overview

No matter what technologies and tools you use in your stack, you can get more insights from your telemetry data in minutes. With New Relic I/O, you can:

Reduce instrumentation toil with an easy, guided installation
Get started faster with pre-built dashboards and alerts
Leverage best practices from domain experts and technology partners

Quickstarts can contain any combination of instrumentation, integrations, dashboards, and alerts. Note that the ability to access quickstart-linked dashboards requires a user type of core user or full platform user. When you sign up for New Relic, you get one full platform user for free.

Demo

Watch a quick demo and learn how to install a quickstart below:

Get started

Install a quickstart from New Relic I/O.
If you don't have a New Relic account yet, browse the public New Relic I/O catalog.
Want to share your monitoring use case or best practices? New Relic Instant Observability is open source, so it’s easy to add to quickstarts or build a brand new one. Help drive the mission to democratize observability—and be featured as a quickstart author. Contribute a quickstart!
Learn more by reading the blog post.

Partner quickstarts

We are proud to launch New Relic Instant Observability with pre-built quickstarts from five leading enterprise software partners. We have partnered closely with them to create quickstarts that help you extend your New Relic One experience:

Kentik is the network observability company. The Kentik quickstarts help network and development teams quickly identify and troubleshoot application performance issues correlated with network traffic performance and health data.
Fastly is an edge cloud platform that enables its customers to create great digital experiences quickly, securely, and reliably. With the Fastly CDN quickstart, you can monitor key metrics from Fastly's content delivery network that can help you improve service reliability and ensure great online experiences for end users.
Lacework is a data-driven security platform for the cloud that can collect, analyze, and accurately correlate data across an organization's AWS, Azure, GCP and Kubernetes environments, and narrow it down to the handful of security events that matter. The Lacework quickstart bridges the gap between observability and security teams, and integrates with New Relic's database to surface security events and alerts directly in New Relic One.
Cribl is the observability pipeline company that lets customers parse and route any type of data. The Cribl quickstart allows you to get immediate visibility into your entire environment right from New Relic One without the need to create your own dashboards and alerts---simplifying your workflows and reducing time to value.
Trend Micro is a global cyber security leader. The Trend Micro Cloud One quickstart ingests cloud security posture management (CSPM) data from Conformity into New Relic One to contextualize and correlate it with workload telemetry data, delivering AI-powered visualizations and quick insights. This allows security and cloud teams to immediately take action in improving their security and compliance postures.
Gigamon is the cloud visibility company. The Gigamon Hawk hybrid-cloud visibility and analytics platform provides access to - and extracts intelligence from all network traffic. The Gigamon quickstart delivers advanced security capabilities that offer network detection and response to advanced threats, including shadow IT activities, crypto-mining and torrent activities, SSL cipher versions and expiration dates across both managed and unmanaged hosts, such as IoT/OT and containers.

Distributed Tracing enabled by default with Node.js agent version 8.3

Thu, 07 Oct 2021 00:00:00 +0000

With the release of Node agent version v8.3, upon agent upgrade, customers will now have Distributed Tracing on by default. This eliminates the need to configure the agent in order to have access to distributed traces. Distributed Tracing gives software teams working in modern environments an easy way to capture, visualize, and analyze traces through complex architectures, including architectures that use both monoliths and microservices.

What’s the impact?

With this change, customers will see distributed traces immediately upon upgrading to Node version v8.3. Distributed Tracing on by default provides more data and better visibility for cross-application requests.

If you do not need this feature, it can be turned off in the Node agent configuration file by setting distributed_tracing.enabled=false OR by setting the environment variable NEW_RELIC_DISTRIBUTED_TRACING_ENABLED = false.

If you need more traces and are experiencing dropped spans, the agent reservoir can be expanded to accommodate more spans. To do so, set environment variable or config item called span_events.max_samples_stored to a value greater than 2,000 up to a maximum value of 10,000. Note that increasing this value may impact memory usage.

Get a visual map of related entities with New Relic One automap

Tue, 12 Oct 2021 00:00:00 +0000

To resolve issues affecting a cluster of services in your architecture, you need to identify both where AND when issues originate. Today, with New Relic One automap, you can.

When selecting a service, you can locate automap in the Related entities section of the slide-out panel. Click the Map view button. Then, using automap timewarp, you can step backward in time and understand how the issue propagated through the architecture and track the issue back to where and when it all started.

Check out the documentation to learn more.

Distributed Tracing enabled by default with Python agent version 7.0.0.166

Wed, 06 Oct 2021 00:00:00 +0000

With the release of Python Agent version v7.0.0.166, upon agent upgrade, customers will now have Distributed Tracing on by default. This update eliminates the need to configure the agent in order to have access to distributed traces. Distributed Tracing gives software teams working in modern environments an easy way to capture, visualize, and analyze traces through complex architectures, including architectures that use both monoliths and microservices.

What’s the impact?

With this change, customers will see distributed traces immediately upon upgrading to Python version v7.0.0.166. Distributed Tracing on by default provides more data and better visibility for cross-application requests.

If you do not need this feature, it can be turned off in the Python agent configuration file by setting distributed_tracing.enabled=false OR by setting the environment variable NEW_RELIC_DISTRIBUTED_TRACING_ENABLED=false.

Browser agent update: capturing all AJAX requests

Tue, 12 Oct 2021 00:00:00 +0000

Today, with the use of the SPA Browser agent, you can query in dashboards AJAX requests that are part of a route change. With the release v1211, we are expanding this ability to make all AJAX requests available to filter and facet on in the dashboard for customers using the Pro or SPA agent. In addition, we will ensure all AJAX requests show up as spans in distributed tracing.

What’s the impact?

With the addition of this feature, if you are using the Pro or SPA version of the agent, you will now see an increase in data consumption. If you want to dial back the amount of data consumed, you have two options:

Option 1 (recommended option): In browser settings on NR1, there is a deny list where you can add URLs where you don’t need AJAX data collection. This will ensure the agent does not collect those AJAX calls. Refer to this documentation for more information.

Option 2: Drop data on ingest. Because the AJAX requests are being stored as events, you also have an option to set up rules to drop them on ingest. Refer to this documentation for more information.

Distributed Tracing enabled by default with Ruby agent version 8.0.0

Mon, 04 Oct 2021 00:00:00 +0000

With the release of Ruby Agent version v8.0.0, upon agent upgrade, you'll have Distributed Tracing on by default. This eliminates the need to configure the agent to have access to distributed traces. Distributed Tracing gives software teams working in modern environments an easy way to capture, visualize, and analyze traces through complex architectures, including architectures that use both monoliths and microservices.

What’s the impact?

With this change, you'll see distributed traces immediately upon upgrading to Ruby version v8.0.0. Distributed Tracing on by default provides more data and better visibility for cross-application requests.

If you do not need this feature, you can turn it off in the Ruby agent configuration file by setting distributed_tracing.enabled=false or by setting the environment variable NEW_RELIC_DISTRIBUTED_TRACING_ENABLED=false.

If you need more traces and are experiencing dropped spans, the agent reservoir can be expanded to accommodate more spans. To do so, set the environment variable or config item called span_events.max_samples_stored to a value greater than 2,000 up to a maximum value of 10,000. Note that increasing this value may impact memory usage.

With Distributed Tracing on by default, Cross Application Tracing (CAT) will now be deprecated and will be removed in a future version of the agent. If you're on CAT, you'll now see distributed traces instead. If you want to revert back to CAT, you can do so by setting cross_application_tracer.enabled = true in the configuration file. We recommend you to keep using distributed tracing, given that CAT will be removed in the future.

Simplify code collaboration and review with New Relic CodeStream

Thu, 21 Oct 2021 00:00:00 +0000

Now you can resolve production errors faster and improve software performance with New Relic CodeStream.

CodeStream is an exciting new IDE extension that helps developers discuss, review, and understand their code by integrating with popular dev tools and providing advanced in-IDE commenting. With the latest integration to New Relic One, CodeStream surfaces production errors inside your development environment for faster debugging. A free preview of the New Relic integration for CodeStream is available for everyone until February 28, 2022!

New aggregation methods for NRQL alert conditions

Mon, 25 Oct 2021 00:00:00 +0000

Data latency has caused many users to have inaccurate alert incidents. Since data has the potential to come in too late to be evaluated, New Relic has added two new streaming aggregation methods for NRQL alert conditions. With this addition, users have three options to choose from for data aggregation methods:

Event Flow (the new default aggregation method)
Event Timer (the other new aggregation method)
Cadence (the classic aggregation method)

Event Flow

Event Flow aggregation is best designed to be used for situations when data come in frequently and with low event spread, or mostly "in-order.” For every 1-minute processing window, there should be minimal difference between the earliest and least event timestamps.

Event Flow is the default data aggregation option because this method is more likely to result in fewer dropped data points due to latency in most situations, and decreased time-to-detect.

Event Timer

Event Timer is designed to work best for data that comes infrequently and potentially in batches; for example, cloud integrations or error logs.

Event Time, as its namesake, has a Timer setting that starts counting down as soon as the first data point shows up for the aggregation window. It resets every time another data point arrives for that window.

Cadence

Cadence is the legacy data aggregation everyone has grown to know. For this data aggregation option each evaluation window waits exactly as long as the Delay setting is set for. A limitation of this option is that a certain amount of data may be dropped, as it comes in "too late" to be evaluated. This dropped data may trigger false alerts.

For further details on each use case, check out this post.

The Jira integration for errors inbox is now available

Fri, 19 Nov 2021 00:00:00 +0000

We’re excited to announce the New Relic errors inbox Jira integration.

With the Jira integration you can start tracking, managing, and updating tickets from New Relic errors inbox. Continue to work and collaborate in the tools you're already familiar with without losing context, for faster error resolution.

Start your errors inbox journey today!

Kubernetes Horizontal Pod Autoscaler (HPA) support

Tue, 02 Nov 2021 00:00:00 +0000

We’re excited to announce the open beta of the New Relic Horizontal Pod Autoscaler (HPA).

The Horizontal Pod Autoscaling (HPA) feature, which was introduced in Kubernetes v1.2, allows users to autoscale their applications off of basic metrics like CPU, accessed from a resource called metrics-server.

With Kubernetes v1.6, it became possible to autoscale off of user-defined custom external metrics collected from within the cluster.

Get started with the New Relic Metrics adapter.

New Relic metric adapter is only available for Kubernetes v1.16 and above. To see the list full of requirements check the following link.

By using Helm charts any New Relic user can easily install our Kubernetes integration with HPA or simply update it to enable the New Relic metric adapter.

Find more information about the installation process here.

New infrastructure monitoring interface now available

Tue, 30 Nov 2021 00:00:00 +0000

New infrastructure monitoring customer preview launches today

Today we're releasing the preview of an enhanced New Relic infrastructure monitoring experience to help DevOps, SRE, and IT Operations teams quickly pinpoint offending infrastructure components, determine incident blast radiuses, and identify the root cause.

New infrastructure monitoring interface makes it easy to find possible issues.

Highlights

Pinpoint bottlenecks instantly using Lookout to know where to focus your attention.
Be proactive and find potential infrastructure issues before they affect your customers.
Quantify blast radius and determine the impact of an incident by visualizing the up and downstream dependencies using automap.
Investigate root cause by analyzing related entities, logs, alerts, events, golden signals, network metrics, and more all in context and in a unified experience to identify the root cause and resolve issues faster.

Automap shows topology and the blast radius. Timewarp helps to find what and when an issue happened.

With our new infrastructure monitoring experience, we’ve doubled down on providing real-time troubleshooting workflows while incorporating broader platform context and unique topology visualizations into our user experience.

Check out our new infrastructure monitoring experience and tell us what you think. New Relic customers can start using it today, without any additional cost. Find it in New Relic One within the main menu under Infrastructure > Hosts New.

Note: as of December 13th, 2021, the new infrastructure monitoring experience is available in the EU.

Applied Intelligence now free to all full platform users

Tue, 16 Nov 2021 00:00:00 +0000

New Relic full platform users will have access to modern AIOps capabilities in Applied Intelligence at no additional cost. This incremental rollout begins now and should be completed by the end of 2021. Applied Intelligence empowers on-call engineers to eliminate alert storms by grouping related alerts from any source into one actionable issue, and quickly see the root cause of issues when incidents occur.

We are also introducing improvements to the incident response experience to help on-call engineers achieve faster time-to-resolution, reduced noise, and increased reliability.

The most noticeable change is a new navigation menu on the left side of Alerts & AI that has been redesigned to better match your incident response journey. You will also see new advanced features including:

Workflows: Provides a flexible way to route incidents with specific characteristics to appropriate teams and specific ticketing or notification tools, such as ServiceNow and JIRA. You can also use custom webhooks to integrate other services.

Enrichment: Allows you to query data in NRDB, collect pertinent related information, and use predefined parameters so that you can automatically add additional context to your alerts before they are sent to first responders.
Destinations: New bi-directional integrations for JIRA and Service Now accommodate for customizable fields and additional transactional security. Future integrations under development include email, PagerDuty, AWS EventBridge, and Microsoft Teams.

To get started reducing alert noise and quickly finding the root cause of incidents, visit the Alerts & AI tab in the upper navigation banner.

Safeguard data with TISAX and ISO 27001 compliance

Wed, 10 Nov 2021 00:00:00 +0000

The last thing you want to do is think about compliance, which is why we’ve upgraded the New Relic One platform to be TISAX- and ISO 27001-compliant! And best of all, there's nothing for you to do—compliance is built directly into the platform.

Building on our support for GDPR, FedRAMP, SOC2, CSA STAR, and DHS, TISAX and ISO 27001 further allow you to confidently monitor your application, infrastructure, and network performance while protecting your customers' data. New Relic’s platform allows you to adhere to industry best practices for security and governance so you can optimize supplier, OEM, and partner experiences while safeguarding data.

New Relic is the only observability platform with both TISAX and ISO 27001 compliance for all your performance data, all in one place:

Domains: Applications, infrastructure, network
Data types: Metrics, events, logs, and traces
Environments: On-premises and cloud

PowerDNS integration is now available

Tue, 02 Nov 2021 00:00:00 +0000

We’re excited to announce the New Relic Infrastructure’s PowerDNS integration.

Customers with a subscription to New Relic One can now pull data from their PowerDNS servers directly into New Relic without installing any third-party software. This on-host integration allows you to track key metrics and gain critical insights into how your PowerDNS is performing, giving you improved visibility into the parts of your infrastructure served by PowerDNS.

New Relic offers observability for the two main products of the PowerDNS platform.

Authoritative server
Recursor

Troubleshoot your PowerDNS infrastructure faster.

Check the status of your PowerDNS infrastructure by accessing the Entity Explorer.

You will easily identify the actual status by reviewing the most important metrics on a summarized list.

View your authoritative server dashboard.

Check the health of your authoritative servers by looking at the information provided by the dashboard.

Get started with the PowerDNS integration.

This integration is compatible with PowerDNS authoritative server and recursor 3.x and above.

For installation configuration and exact compatibility requirements, check our PowerDNS integration for New Relic documentation.

Get started with New Relic's service level management

Wed, 01 Dec 2021 00:00:00 +0000

Public beta for New Relic's service level management

We're excited to announce the public beta for service level management!

New Relic One’s new, simple interface for service level management (beta) makes it easy to understand how your services' performance and reliability are doing over time. When an SLO target is not met (or is close to failing for the evaluation period), use New Relic to find contextual data around deployments, infrastructure changes, anomalies, and issues that could be the cause. Now, your DevOps, IT, and SRE teams can identify problems anywhere in the stack and proactively resolve reliability concerns. Service level data is essential for you to make decisions about how to proceed when an incident occurs, and will help influence how you prioritize innovation and reliability work in your product roadmap.

You can learn more about this release and how you can implement service level management in our docs. Or go to the Service Levels (Beta) menu within any APM Service for an automatic SLI baseline and setup.

Extend full stack observability to your machine-learning models

Wed, 08 Dec 2021 00:00:00 +0000

Now you can monitor your ML models in production with Model Performance Monitoring

ML Engineers and data science teams can now bring ML model telemetry from any source into New Relic One and collaborate with DevOps and SREs teams to maintain high-performing Artificial Intelligence (AI) and Machine Learning (ML) powered applications.

Everything you need in one place:

Monitor ML models and dependencies alongside their software applications and infrastructure to solve problems faster.
Create custom dashboards to gain trust and insights for better, more accurate ML models.
Get predictive alerts to ML models performance with applied intelligence to detect unusual changes and unknowns early, before customers are impacted.
Monitor and visualize critical signals like recall, precision, accuracy, and more.
Collaborate in a production environment and gain unprecedented visibility to ensure maximum business impact of your data science investments.

New Relic I/O ecosystem offers flexible quickstarts and easy integrations to leading data science platforms like AWS Sagemaker, Algorithmia (DataRobot), Aporia, Superwise, Comet, DagsHub, Mona, and TruEra.

New Relic ML Model Performance Monitoring enables data science teams to measure ML model performance.

Infra Monitoring with Amazon EC2 to see lower TDP costs

Wed, 15 Dec 2021 00:00:00 +0000

AWS and New Relic: Better Together

Whether you are just getting started on AWS or cloud native technology, New Relic One delivers the end-to-end observability that is critical to your success on the cloud. New Relic utilizes a single data platform for all metrics, events, logs, and traces and delivers the ability to visualize, analyze, and troubleshoot your entire AWS environment.

Lowering costs for our customers

Since introducing consumption-based pricing in July of 2020, we have been looking for ways to reduce our customers’ costs through efficiency.

All AWS EC2 users using Infrastructure Monitoring will see a slight decrease in their Telemetry Data Platform costs. However, for customers that use Amazon EC2 custom tags, the reduction will be higher. Both are enabled by increased backend improvements to store and manage the data and reduce the storage footprint while maintaining all the UI functionality. These reductions will vary depending on usage.

The changes are effective beginning December 15th, 2021.

Note: No customer action is required. The improvements are automatic and only on the New Relic side. An infrastructure agent update is unnecessary.

Ongoing improvements

As we continue improving and evolving our consumption-based business model, we expect to deliver additional cost savings to our customers over time. We are delighted to bring this improvement to you and actively optimize costs.

Are you interested in New Relic’s Infrastructure Monitoring? Check out this blog that details our recent customer preview of the new infrastructure user interface.

The learn more link takes you to this post in discuss.newrelic.com.

New Instant Observability partner integrations for CI/CD, Kubernetes, and machine learning

Mon, 31 Jan 2022 00:00:00 +0000

In case you missed it, New Relic I/O helps you instrument, monitor, and analyze your stack in minutes. The secret ingredient is 400+ free expert-built quickstarts that bundle the integrations, guides, dashboards, and alerts for the technologies you rely on.

New integrations for Instant Observability

The latest cohort of partners contributing to make observability a daily habit for engineers spans across CI/CD, Kubernetes testing, and leading machine learning operations (MLOps) platforms. These partners include:

CI/CD: Rapidly identify and reproduce issues to reduce MTTR and downtime with Delphix.
Kubernetes testing: Discover API issues earlier in your release cycles with Speedscale (see a demo).
AI/ML model monitoring: Proactively monitor ML model issues.
- Amazon SageMaker
- Algorithmia
- Aporia
- Comet
- DAGsHub
- Mona
- Superwise.ai
- TruEra

Visualize and monitor all your data in one platform

Learn more about how each of these partner-built quickstarts can help you quickly expand your observability game by reading this blog post.

Introducing our new core user type

Wed, 12 Jan 2022 00:00:00 +0000

Observability is better together. Our new core user type enables more developers than ever to understand code performance better, collaborate and prioritize work directly from their IDE, and access relevant error details including stack traces, logs, alerts, and more.

New core users enable developers to:

Optimize code performance and feature planning with access to telemetry data from production and pre-production environments directly in their IDE via the New Relic CodeStream integration.
Collaborate with DevOps, site reliability engineers (SREs), and ops engineers with a direct path from error tracking in New Relic One to the relevant code block directly in their IDE.
Detect patterns and outliers in log data to resolve issues and improve code performance.
Build and run custom applications in New Relic One to surface performance insights, optimize cloud costs, and more.
Onboard new developers with observability best practices and shared baselines for metrics.

Preview period: Try core user capabilities today

All existing basic users currently have free access to core user capabilities through Feb. 28, 2022, as part of a preview period. After the preview period, only full platform or core users can access the New Relic CodeStream integration, errors inbox, New Relic One custom apps, and advanced log management features.

To start viewing error tracking and other telemetry data directly within your IDE, follow the instructions to set up the New Relic CodeStream integration.

To enable errors inbox for your account, follow these steps:

From one.newrelic.com, select errors inbox from the top nav.
If this is your first time accessing errors inbox, you will be prompted to select a workload in the top left.
If you have no workloads set up, you'll be prompted to create one before you can use errors inbox.
Once you select your workload, your inbox should populate with error groups.

Explore core user capabilities in this walkthrough

Unlock core users in your account

To start adding core users, visit the plan management UI (click the top right account dropdown and click Manage your plan) and enable core users by accepting the new terms. Note that some accounts may need to talk with their account team to unlock core users. If you can't access that UI, it may be because you don't have the right permissions (for example: users on the New Relic One user model require the Billing user role, which is assigned to the Admin group).

Analyze Syslog messages to improve network performance (support for FedRAMP)

Thu, 20 Jan 2022 00:00:00 +0000

Understand how your network impacts your infrastructure and application layers.

Correlate Syslog messages with the rest of your observability data.

Analyze Syslog messages alongside SNMP and Network flow logs across all network equipment with other network, infrastructure, and application telemetry.
Automatically detect Syslog-based anomalies (using Lookout) before they cause problems.
Surface patterns and potential issues with zero-configuration Log Patterns.
Stay in compliance with our FedRAMP-certified solution.

How to configure Syslog with New Relic

Open the Instant Observability (I/O) quickstart for a guided installation that will also deploy an example dashboard. Alternatively, you may follow along manually using our documentation.

Pinpoint potential infrastructure issues and quantify impact radius with a new infrastructure monitoring experience

Wed, 16 Feb 2022 00:00:00 +0000

New infrastructure monitoring is generally available today

Today, New Relic is making the new infrastructure monitoring experience generally available to help DevOps, SRE, and IT Operations teams proactively identify and resolve issues in their public, private, and hybrid cloud infrastructure.

New infrastructure monitoring interface makes it easy to find and compare possible infrastructure components.

Highlights

Pinpoint bottlenecks instantly using New Relic Lookout to know where to focus your attention.
Be proactive and find potential infrastructure issues before they affect your customers.
Quantify impact radius and determine by visualizing a timeline of dependencies using automap. Use timewarp to find what and when the issue occurred.
Investigate root cause by analyzing related entities, logs, alerts, events, golden signals, network metrics, processes, storage and more all in context a unified experience to identify the root cause and resolve issues faster.

Automap shows topology and the impact radius. Timewarp helps to find what and when an issue happened.

Check out our new infrastructure monitoring experience and tell us what you think. New Relic full platform access users across all regions can start using it today without any additional cost. Find it in New Relic One within the main menu under Infrastructure > Hosts New. You can also read the new infrastructure UI docs.

One last item With this release of infrastructure monitoring we've upgraded your filter sets into saved views. These saved views are now available for use in the Explorer. To modify or add saved views go to Explorer.

Jumpstart your Jamstack monitoring

Thu, 10 Feb 2022 00:00:00 +0000

Built for developers who want to know how their deploys are impacting site performance for users, the New Relic plugin for Netlify enables you to automatically install New Relic browser monitoring agent and notifies New Relic each time a build event occurs in Netlify. Get critical insights via real user monitoring (RUM) into the performance of your jamstack application.

Doing so gives you the following benefits:

Understand how each deploy impacts your site's performance metrics in production.
Measure Google Core Web vitals on your site like largest contentful paint, first input delay, and cumulative layout shift.
Quickly discover and fix errors before they impact your users.
Explore your data using our custom-built dashboards, and receive alerts and notifications when there’s an issue with your Netlify site.

How to configure plugin with New Relic

Open the Instant Observability (I/O) quick start for a guided installation that will also deploy an example dashboard. Alternatively, you may follow along manually using our documentation on GitHub.

New External Services dashboard now available

Wed, 09 Feb 2022 00:00:00 +0000

A new version of the external services dashboard is available in APM to help you rapidly identify issues with the APIs and microservices that your applications rely on.

The external services dashboard includes a map view to rapidly identify issues and a list view to sort and compare individual services.

Here is the new dashboard in action.

Errors Inbox: Now in Browser and Mobile

Thu, 20 Jan 2022 00:00:00 +0000

New Relic Errors Inbox is an error tracking solution that provides a single place to view, triage, and resolve errors across the full application stack. Now we have added Errors Inbox to the Browser and Mobile UIs, which makes triaging Browser and Mobile errors a breeze without the need to set up a workload.

Watch an extended demo in our recent Nerdlog episode below to learn more about how errors inbox can help you track your errors intelligently:

New Relic's native OTLP endpoint now supports HTTP/1.1 and Infinite Tracing with gRPC

Thu, 17 Feb 2022 00:00:00 +0000

As the OpenTelemetry project continues to mature, we’re continuously evolving our support for OpenTelemetry in New Relic. New Relic's OpenTelemetry offering now includes:

OTLP support for HTTP/1.1
Infinite Tracing with gRPC
Enhanced curated user experiences to visualize and analyze your OpenTelemetry data

PHP agent now supports PHP version 8.1

Wed, 02 Mar 2022 00:00:00 +0000

With the release of PHP agent v9.19.0, we've included the eagerly anticipated support for PHP version 8.1! This is primarily for 64-bit environments with the Just-In-Time (JIT) compilation disabled. For more details please see PHP agent v9.19.0 release notes.

New PagerDuty integration for workflows and destinations

Mon, 28 Mar 2022 00:00:00 +0000

New Relic One now offers two ways to integrate with PagerDuty:

Account-level integration using REST API Keys (recommended): The integration is fully automatic and supports two-way sync and the ability to define multiple PagerDuty services on a single New Relic destination.
Service level integration using Events API keys: The single service integration uses the service level integration key, and requires a separate New Relic destination for each unique PagerDuty service.

Learn more about this new integration, including the full setup process.

Manage cardinality with metric aggregate pruning

Wed, 02 Mar 2022 00:00:00 +0000

Metric aggregate pruning is our latest addition to the NerdGraph drop rules data management API. It allows you to specify one or more attributes to exclude from metric data rollups. Attributes that are excluded from rollups are not dropped entirely (we have a separate action for that purpose). They are still available and queryable on the raw metric data, which is used when querying over time windows of one hour or less, or when you specify the RAW keyword on your query (which can be used on queries spanning time windows of up to 48 hours). But attributes pruned from rollups using this new capability are not counted against your cardinality limits, making them a valuable new tool for cardinality management.

Metric aggregate pruning is ideal for high cardinality attributes sometimes included on metrics, such as a container id or other unique identifiers. They contain important details when troubleshooting during an incident (narrow time window), but they lose their value over time and are not relevant when looking for longer term trends.

How to get started

To learn more, check out our Docs.

New Relic now supports native log forwarding from Azure and GCP

Thu, 03 Mar 2022 00:00:00 +0000

All existing New Relic accounts using Microsoft Azure or Google Cloud Platform cloud infrastructure integrations can now send logs to New Relic One without the need for unsupported forwarders or custom solutions published by customer success teams.

Sending logs to New Relic One is a great way to get more detailed and comprehensive information about the services and instances running on your cloud providers. Monitoring logs alongside metrics make it easier to troubleshoot and identify the root cause of issues faster.

New logs integrations:

For Azure: Blob Storage, or via an Event Hub
For GCP: pub/sub integration

Azure and GCP log integrations are part of New Relic’s log forwarding plugins that make it easy for our customers to get logs into New Relic One.

To start using logs with Azure or GCP, or any of New Relic’s native log integrations:

Click this + Add More Data link.
In the search bar, type logs, and press Enter to see your options.

Minimize Kubernetes complexity to build performant applications

Wed, 02 Mar 2022 00:00:00 +0000

See Kubernetes details in APM

Use our new UI that shows how cluster performance impacts your applications.

Analyze cluster performance in a single, curated UI.
Get alerted with a real-time activity stream for Kubernetes events and critical issues.
Correlate performance anomalies with one-click logs and side-by-side (selectable) metrics.

How to get started

Kubernetes information in APM is available in one.newrelic.com > Explorer > Services - APM > (select an app) > Kubernetes.

To make sure your Kubernetes performance data appears in New Relic One:

Install the New Relic infrastructure integration.
See our general APM documentation, as well as information about the Kubernetes summary page.
Ensure users have Full user licenses.

New integrations: CircleCI, Netlify, ReleaseIQ, MuleESB, Databricks, and Jira

Tue, 08 Mar 2022 00:00:00 +0000

In case you missed it, New Relic I/O helps you instrument, monitor, and analyze your stack in minutes. The secret ingredient: 450+ free expert-built quickstarts that bundle the integrations, guides, dashboards, and alerts for the technologies you rely on.

New integrations for instant observability

The latest cohort of partners contributing to making observability a daily habit for engineers spans across CI/CD platforms, integration platforms, data analysis, and agile project management. These partners include:

CI/CD: Gain visibility into the performance and health of your continuous integration and deployment pipelines

Integration platforms: Monitor Mule ESB with New Relic's Java agent

Mule ESB

Data analytics: Track cluster health and fine tune Apache Spark jobs

Databricks

Agile project management: Connect Jira with error tracking

Atlassian Jira for Errors Inbox | tutorial

Visualize and monitor all your data in one platform

Learn more about how each of these partner-built quickstarts can help you quickly expand your observability game by reading this blog post. Or, dive into New Relic I/O and find a quickstart for your stack.

View Netlify logs data with New Relic

Wed, 30 Mar 2022 00:00:00 +0000

The New Relic Netlify integration is built for enterprise customers who want visibility of log data without the manual work. This integration allows you to import logs into the log management solution of your choice. Then, you can analyze that data for troubleshooting and performance monitoring or store it for historical purposes. Learn more in our blog.

Here are some key benefits:

User traffic monitoring: Identify traffic from bots and bad actors, which can help your security and compliance engineers proactively defend your sites.
Access and analyze your Netlify traffic logs: Traffic logs are only accessible through log drains, not the Netlify UI.
Long-term log retention: The Netlify console provides a 24-hour storage window for logs. The Netlify console provides a 24-hour storage window for function logs. With New Relic One, you get long-term cold storage for your Netlify log data and the ability to make month-over-month comparisons.
User agent analytics: Analyze your user agents for performance issues.
Session tracking: Gain insight into user activity and journeys across your sites.

How to configure the plugin with New Relic

Open the Instant Observability (I/O) quickstart for a guided installation that will also deploy an example dashboard.

Alternatively, you can follow along manually using the documentation.

FutureStack is back in-person at the Cosmopolitan of Las Vegas

Mon, 28 Mar 2022 00:00:00 +0000

Join us for FutureStack May 17-19 at the Cosmopolitan of Las Vegas

Reconnect face-to-face and find out what your most innovative peers are doing.

Explore observability with inspiring keynotes, peer-led deep dives, and exclusive technical breakouts you won’t find online.

FutureStack is back, bigger and bolder than ever

It’s time to log off from virtual events, dust off your suitcase, and join your peers to rub elbows and swap cheat codes in a way that’s only possible in live, in-person interactive sessions.

Reasons all the data points to Las Vegas:

1:1 expert guidance for a deep dive on observability
An inside look at the newest New Relic innovations
Blockbuster announcements for new products and more
Networking events and exclusive entertainment, Vegas style

Look who’s sharing their observability insights

Our peer-led sessions feature industry leaders, including:

JJ Asghar - IBM
Carl Chesser - Cerner
Sheldon Lessard - Maricopa County Clerk of the Superior Court

Drop in and code on, at the 24-hour FutureHack

Put your skills to the test by using a data-driven approach to hack your way through the toughest observability challenges using New Relic. The FutureHack champions will win bragging rights and great prizes.

Get excited, get inspired and get registered for the software engineering event of the year

Take advantage of special early-bird pricing (good until April 30) and a hotel discount at The Cosmopolitan of Las Vegas (good until April 15). Spots are filling up fast, so register now.

Compare JVM performance for OpenTelemetry services

Thu, 31 Mar 2022 00:00:00 +0000

An updated JVMs page for services instrumented with OpenTelemetry allows you to identify which service instances have unusual or unhealthy performance patterns. You can compare the key service health and Java Virtual Machine (JVM) metrics, across any number of instances.

With this data, you can:

Determine which instances might need their JVM garbage collection or memory settings tuned for a better fit to their load.
Identify instances receiving an unbalanced amount of traffic.
Spot slow memory leaks.

On the new JVMs page, you can choose several service instances to compare, based on summaries of key metrics: response time, throughput, error rate, garbage collection time, and memory usage. Then, you can compare all those instances' JVM metrics collected by OpenTelemetry instrumentation using timeseries charts to spot problems.

Service Level Management with New Relic One is now generally available

Tue, 05 Apr 2022 00:00:00 +0000

Service Level Management is now generally available in New Relic One

Today, we're excited to announce that New Relic service level management is now generally available!

New Relic One's new service level management capabilities help teams operationalize SRE best practices for maintaining system uptime and reliability. The new experience includes a one-click Service Level Indicator (SLI) and Service Level Objective (SLO) setup, powerful recommendations to get started, metrics customization, unified health reports, and alerting for SLO compliance, error budget tracking, and more.

You can learn more about this new release and how you can implement service level management in our SLM documentation or by reading our use case implementation guide.

API monitoring with the Postman integration

Wed, 06 Apr 2022 00:00:00 +0000

Introducing API Monitoring with the Postman integration

We’ve partnered with Postman to make it easier to monitor the functionality and performance of your APIs and Postman monitors alongside the rest of your observability data. Now, you can get deeper pre-production API metrics down to the individual endpoint level. You can also use the two-way integration to receive contextual data about deployments from New Relic One in the Postman API platform.

A quickstart to API Observability

Get instant observability into critical metrics such as latency, request counts, and error rates in context of all their telemetry data. Start monitoring your API performance for free by installing the Postman quickstart at New Relic I/O. It gives you a pre-built dashboard in minutes. See how it works in the video below:

Benefits

Unified visibility: View API metrics (response time, errors, failed test, etc.) alongside application and infrastructure metrics in one unified and customizable dashboard.
Alert on API performance: Leverage New Relic’s advanced alerting capability such as self-adjusting thresholds, anomaly detection, and outlier detection so you get notified when your APIs have poor performance.
Debug performance issues in context: Debug performance issues by comparing the performance of your APIs (such as latency metrics) and functionality (such as response correctness) with full stack metrics (CPU, RAM usage, and network stats) in context.
Easy access: Existing New Relic customers with full platform access can set up the integration for no additional cost. New customers can get started for free without a credit card. The integration is available to all Postman customers including free-tier users.

Get started

Read the blog to learn more.
Review the integration documentation and Nerd Byte instructional video.
Get instant observability. Check out New Relic I/O for more quickstarts that bundle everything you need to start monitoring your tools and technologies like a pro.

OpenTelemetry Masterclass: From zero to hero with New Relic

Mon, 04 Apr 2022 00:00:00 +0000

Learn the ins and outs of OpenTelemetry starting with the basic concepts arounds telemetry, followed by key concepts and components of OpenTelemetry, and end with a hands-on workshop that shows you how to instrument an application in your preferred language and analyze data in New Relic.

Analyze OpenTelemetry arrays in New Relic

Fri, 15 Apr 2022 00:00:00 +0000

Analyze array attributes for OpenTelemetry Protocol (OTLP), including simple arrays containing boolean, integer, long, float, double, or string values. Run queries with arrays just like other data types, including faceting on array attributes.

The OpenTelemetry spec supports array data types for metrics, traces, and logs, including custom array attributes. Additionally, some built-in OpenTelemetry fields can hold array data as well.

How to get started

To learn more, check out the docs page.

New Instant Observability integrations for monitoring API, network, application, and streaming performance

Wed, 27 Apr 2022 00:00:00 +0000

New Relic Instant Observability (I/O) is an open ecosystem of more than 450 free, prebuilt quickstarts that help you start monitoring your system in minutes. These quickstarts bundle necessary building blocks for instrumenting, monitoring, and acting on signals from your telemetry data, wherever it comes from.

We are pleased to announce new integrations and quickstarts with Cloudflare, Netlify, Postman, Datazoom, and Glassbox. Read on for a summary, or read the full blog post about these integrations.

Cloudflare Network Logs

Cloudflare is an industry-leading global network designed to make everything you connect to the Internet secure, private, fast, and reliable. The new Cloudflare Logpush integration sends Cloudflare data directly into New Relic, resulting in faster log delivery and eliminating cloud storage middleware costs. The Cloudflare Network Logs quickstart allows you to monitor and analyze web traffic metrics from Cloudflare Logpush on a New Relic dashboard, providing you with an overview of important logs and metrics from all your websites and applications.

Resources:

Cloudflare Network Logs quickstart
Visit our blog for more information about how to send log insights faster and cheaper through the Cloudflare integration.
Read about how to get full observability into your Cloudflare logs with New Relic on Cloudflare's blog.

Netlify Logs

As a pioneer of the Jamstack movement, Netlify brings together modern web frameworks, serverless functions, and edge computing into one platform to deliver unmatched experiences for your application users. With the Netlify Logs quickstart, you can explore and visualize data from traffic and function logs provided by Netlify log drains. It allows you to parse, view, and filter traffic logs and function logs generated by your Netlify workloads for in-depth analysis, performance monitoring, troubleshooting, and alerting within New Relic.

Watch our video tutorial on how to view Netlify logs in New Relic:

Resources:

Netlify Logs quickstart
Head to our blog to learn more about exporting traffic and function logs from Netlify to New Relic.
Check out Netlify's Explorers Hub post on how to view logs data with New Relic.

Postman

Postman helps more than 17 million developers collaborate and create better APIs. The Postman quickstart provides Postman monitoring data to New Relic, so that DevOps, APIOps, and ITOps engineers can get instant observability into critical metrics such as latency, request counts, and error rates to collaborate better. The integration also ingests data from New Relic into Postman to bring observability data to API producers, testers, and consumers.

Watch our video tutorial on how to monitor Postman API metrics in New Relic:

Resources:

Postman quickstart
Learn how to send real-time API metrics from Postman to New Relic on our blog.

Datazoom

Datazoom is an enterprise video data platform. The software solution captures, standardizes, enriches, and routes data from various points across an end-to-end video workflow. The Datazoom quickstart provides a fast and easy launching point into video metrics built on top of New Relic dashboards, so you can gain insights about your viewers, content, ads, and your platform's performance. You can customize the dashboard to use only metrics that fit your goals, edit metric calculations, and tailor them to your needs.

Resources:

Datazoom quickstart
Learn more about how you can get real-time visibility into your streaming video architecture and performance on the New Relic Datazoom partners page.

Glassbox

Glassbox empowers organizations to create frictionless digital journeys for their users. Through AI-driven visualization and analytics tools, Glassbox helps teams to prioritize customer experience and digital product enhancements from a single collaborative system.

The Glassbox quickstart combines the data capture and session replay capabilities of Glassbox with New Relic for deeper contextual insights into impact of application performance on your users' digital experience. Get a view of behavioral insights and KPIs inside the pre-built New Relic dashboard, which links directly to a session replay in Glassbox to help you find the root cause of the digital issue and fix performance issues faster.

Next steps

Read our blog post about these integrations.
To learn how to install your first quickstart, see this Explorers Hub post or watch the walk-through video.
Explore all the integrations in New Relic I/O.

Upgrade your K8s integration for significant performance improvements!

Wed, 27 Apr 2022 00:00:00 +0000

In April of 2022, we re-architected our Kubernetes integration, making it modular and configurable, giving you more flexibility and compatibility with more environments. Upgrade today to get access to the following:

Reduce memory footprint: Up to 80% reduction in big clusters.
Improve troubleshooting: Easier to triage bugs and fix issues with enhanced logs and process cycle.
Configure more easily: Three individually-configurable components, including support for config files that provide more granular settings.
Scrape external control planes: Get metrics from components outside your clusters.
Adjust scraping intervals: Dial-up or dial-down data ingest to suit your needs.

How to get started

To learn more, check out our blog or go straight to the docs to get started.

Automate Kubernetes observability on your EKS clusters with code

Wed, 27 Apr 2022 00:00:00 +0000

If you are using AWS Elastic Kubernetes Service (EKS) to build a Shared Services Platform (SSP), you can deploy New Relic's Kubernetes observability integration using our add-on to EKS Blueprints.

Benefits for infrastructure engineers

Turnkey deployment that simplifies the standard Helm install.
Frictionless upgrades across all clusters as part of a deployment pipeline or via CDK deploy.
Analyze and alert on node capacity and utilization metrics.

Benefits for developers

Analyze and alert on status and utilization metrics for Kubernetes workloads running in the cluster.
Collect Kubernetes events to identify resource constraints, scheduling issues, etc.
One-click access to container logs for easier troubleshooting.
Combine with New Relic APM for correlation between application, infrastructure, and log data.

How to get started

To learn more, check out the step-by-step instructions or watch a 3-minute demo video.

HIPAA: New Relic is now HITRUST-certified!

Wed, 13 Apr 2022 00:00:00 +0000

New Relic has discontinued the use of the HITRUST framework for attesting to our HIPAA compliance. New Relic now relies on our third party HIPAA attestation as evidence of compliance with HIPAA standards and controls. New Relic provides the list of “HIPAA Covered Services,” which may be referenced in the applicable business associate agreement, on this successor [HIPAA page](/docs/security/security-privacy/compliance/certificates-standards-regulations/hipaa/).

Deliver a superior digital patient and provider experience

Optimize your patients' interactions by reducing page load times, application latency, and errors. Understand which sections of your portals and apps get the most usage, guiding you where to invest in further development.

Observe your entire landscape

You need all of your telemetry data from every environment, including ones that may contain PHI, in one place. You're in the business of better health for your clients—we can help you monitor the health of your technologies.

Get started today

Contact your sales team to get started, or learn more here.

Improve app performance with golden signals in your IDE

Thu, 14 Apr 2022 00:00:00 +0000

CodeStream users can now access instant observability of the functions they write on their Python code with code-level metrics for the New Relic CodeStream integration. With this update, users will be able to see Google’s golden signals alongside the Python code open in their IDE, making it easier to directly identify opportunities within their repository to improve their error rate, latency, traffic, and saturation. This improvement makes it easier optimize the performance of an application and fix customer-impacting issues proactively.

Unlock simplified synthetic testing with our next-generation runtime

Thu, 14 Apr 2022 00:00:00 +0000

There's no bigger headache to an organization than when end-users express frustration over the user experience! Good thing it's an avoidable problem.

Synthetic monitoring allows you to proactively test flows through your application so you can identify and resolve performance issues quickly, before they negatively impact your end users’ experience. Today, we announce the release of next-generation runtime for synthetic monitoring, which includes updated functionalities to easily test user flows in your production environment and catch potential issues.

Our next-generation runtime supports the latest version of Chrome (version 100) and unlocks the testing of modern applications requiring newer Chrome versions; the new synthetics runtime also makes browser version updates easier and more frequent. Additional capabilities include use of the got Node request module, async / await support, and a custom timing library, allowing you to explore new synthetic monitoring use cases by reducing required monitor complexity.

With the next-generation runtime, you can spin up monitors with fewer lines of code, maintain browser compatibility over time, and more effectively detect and fix performance issues before they affect end-users. Learn how to set up your synthetics monitors in our new runtime with this quick tutorial:

Simplified usage and cost tracking (coming soon)

Fri, 22 Apr 2022 00:00:00 +0000

Changes to the usage and cost breakdowns in your account administration area

In our efforts to improve the accuracy and clarity of data for customers on our usage-based New Relic One pricing model, we're updating your Usage and cost overview to no longer include monthly estimated costs, effective May 9, 2022. We're making this change to avoid confusion in scenarios where estimated costs may differ from actual month-to-date costs, which can happen for a variety of reasons. Your usage and cost data will continue to display user count and gigabytes ingested for the current month. Your monthly invoice provides an accurate single source of truth for monthly costs.

How to view your costs

If you didn't purchase New Relic through a third party and you're authorized to manage billing, you can access your most recent invoices by navigating to Manage your plan under the account administration dropdown. This is your source of truth for billing information.

To read more about this change, see the release notes.

Note that you can still calculate and view your estimated month-to-date costs via NRQL queries. For more information, reference our usage query docs.

Refresh your browser monitoring solution with more integrated user metrics

Thu, 21 Apr 2022 00:00:00 +0000

New Relic browser monitoring is an all-in-one solution that helps frontend, full-stack, and web developers measure and improve application performance and end-user responsiveness. We’ve recently added some new features to our browser monitoring experience so you can easily troubleshoot and optimize your frontend applications. Check out our updates:

We have natively incorporated Google’s Core Web Vitals into the browser monitoring UI so you can immediately visualize and analyze your application’s load performance, responsiveness, and layout stability. If your site unexpectedly slows down or crashes, frontend engineers can find the problem and dive deeper into the issue without context switching.

You can filter your user traffic across desktop, mobile, and tablet device types, and use our intuitive filterable geography offering to hone in on user data trends that are region-specific.

These both are particularly useful as you debug and optimize your frontend experiences, because you can analyze more granular data. For example, you might see whether Firefox or Chrome contribute to higher page load time when your application is accessed on desktops.

Or, if it's unclear which regions are experiencing higher than normal page load times, filterable geography can assist in tracking down the root of the problem.

These new features can help you quickly detect issues in webpage performance and may prove very useful in dynamic environments where scaling quickly is a priority.

Big News—New Relic unveils our bold new brand

Tue, 17 May 2022 00:00:00 +0000

New Relic's bold new brand

Our mission is to help every engineer do their best work every day by using data—not opinions—at every stage of the software lifecycle. At our core, New Relic delivers data for engineers to help you better plan, build, deploy, and run the great software that powers amazing digital experiences for your customers, employees, and partners.

FutureStack 2022 marks the debut of our new brand—complete with a new look and feel, voice and tone, tagline, logo, colors, and website—reflecting our intense focus on the success of our customers: software engineers.

Check out all of the exciting changes that we’re rolling out, including a new in-product look and feel designed to help you work smarter, faster, and easier. Read the blog now.

View errors in your IDE with CodeStream EU general availability

Thu, 07 Apr 2022 00:00:00 +0000

Wouldn’t it be nice to streamline the way you track, prioritize, and resolve errors? What about minimizing the need to context switch between different tools, when collaborating with a teammate on troubleshooting strategies or digging through logs and other performance data?

Today, you’ll be able to do all of this and more with New Relic CodeStream. We launched CodeStream in October 2021, and today are bringing the functionality to our global customers with EU data center support. All New Relic customers can now take advantage of the combination of New Relic CodeStream’s productivity and observability capabilities with the functionality of our popular error tracking solution, errors inbox.

With a better understanding and prioritization of errors and issues from within your code, technical teams can reduce technical debt every sprint and efficiently respond to critical errors before end-users are affected.

Upgrade your K8s integration for significant performance improvements!

Wed, 18 May 2022 00:00:00 +0000

We’ve re-architected our Kubernetes integration, making it modular and configurable, giving you more flexibility and compatibility with more environments. Upgrade today to get access to the following:

Reduce memory footprint: Up to 80% reduction in big clusters.
Improve troubleshooting: Easier to triage bugs and fix issues with enhanced logs and process cycle.
Configure more easily: Three individually-configurable components, including support for config files that provide more granular settings.
Scrape external control planes: Get metrics from components outside your clusters.
Adjust scraping intervals: Dial-up or dial-down data ingest to suit your needs.

How to get started

To learn more, check out our blog or go straight to thedocs to get started.

Read the FutureStack recap

Wed, 25 May 2022 00:00:00 +0000

At FutureStack 2022, we announced more than 30 capabilities that make it even easier for your teams to monitor, debug, and improve your entire stack—and embed observability practices and telemetry data throughout the entire software development lifecycle. The lineup included:

Logs in context
Vulnerability management
Azure multi-cloud support
Alert notifications upgrade
Enhanced NRQL querying

...and more.

Our comprehensive recap covers everything we announced at this year's event, and how you can get started with each New Relic enhancement and feature. Read the recap blog now.

View your OpenTelemetry data in errors inbox

Tue, 10 May 2022 00:00:00 +0000

Errors inbox now supports OpenTelemetry-based tracing span data—an innovation unique to the New Relic platform.

Now, you can triage error groups inside errors inbox in your services instrumented with OpenTelemetry tracing. You can immediately view details including the stack trace, span event, and span attribute data needed to pinpoint the cause of an error.

Identify network performance problems faster

Wed, 11 May 2022 00:00:00 +0000

Welcome to an entirely new network monitoring onboarding experience, landing pages, and curated UIs, helping you understand and analyze your network monitoring telemetry. These new capabilities help you get started quickly by identifying the network-related use cases that are important to your business, onboarding the right network telemetry to address your use cases, and giving you a curated landing page that helps you analyze and understand this newly-ingested telemetry. With these new capabilities, you get:

Guided, prescriptive onboarding experiences aligned to solving real problems.
Purpose-built landing pages that highlight key network performance metrics.
Curated visualizations for analyzing network performance (no network engineering experience required).

Get started

To learn more, read the blog.

Easily onboard Kubernetes and Prometheus data with new quickstarts

Fri, 13 May 2022 00:00:00 +0000

New Relic Instant Observability helps you instrument, monitor, and analyze your stack in minutes with hundreds of pre-built quickstarts. If your tech stack includes Kubernetes or Prometheus you can benefit from an easy instrumentation experience, curated dashboards, and pre-configured alerts for Istio, ArgoCD, CoreDNS, NGINX, Redis, and the Prometheus Node Exporter.

The latest quickstarts to help you get started with Kubernetes and Prometheus observability include:

Istio Service: get a dashboard view of services running in your Kubernetes cluster using an Istio Service Mesh. Learn how to monitor service mesh performance from our blog.
ArgoCD: see the performance and availability of the ArgoCD platform within Kubernetes.
CoreDNS: visualize CoreDNS performance and alert on potential errors. CoreDNS is a critical Kubernetes cluster component and can be difficult to troubleshoot in an error scenario, learn how to monitor CoreDNS from our blog.
NGINX Ingress Controller: monitor performance and alert on potential configuration errors.
Redis: discover all critical performance and health metrics relevant to your Redis system monitored by Prometheus.
Prometheus Node Exporter: dashboard view for host metrics gathered through Node Exporter.

Learn more about integrating Kubernetes and Prometheus with New Relic.

Watch our FutureStack keynote livestream

Wed, 18 May 2022 00:00:00 +0000

If you weren't able to join us in Las Vegas, you can tune in to our FutureStack Day One Keynote livestream at 9:00AM - 12:00PM PST on Wednesday, May 18, or catch the recording afterwards (using the same links):

Twitter | LinkedIn | YouTube

Bill Staples, President and CEO of New Relic, will open the keynote by presenting the vision for New Relic and the observability community and showcasing the power of bringing software engineers and data together. New Relic will outline the latest platform enhancements, while partners and customers present how they are using data in their software lifecycle to improve uptime and reliability, enhance the customer experience, and gain operational efficiencies all while driving innovation and growth for their organizations.

Distributed tracing enabled by default with Go agent update: version 3.16.0

Thu, 09 Jun 2022 00:00:00 +0000

With the release of Go agent version v3.16.0, upon agent upgrade, customers will now have distributed tracing on by default. This eliminates the need to configure the agent in order to have access to distributed traces. Distributed tracing gives software teams working in modern environments an easy way to capture, visualize, and analyze traces through complex architectures, including architectures that use both monoliths and microservices.

What’s the impact?

With this change, New Relic users will see distributed traces immediately upon upgrading to Go version v3.16.0. Distributed tracing provides more data and better visibility for cross-application requests.

If you don't need this feature, it can be turned off in the Go agent configuration file by setting distributed_tracing.enabled=false OR by setting the environment variable NEW_RELIC_DISTRIBUTED_TRACING_ENABLED=false.

Distributed tracing enabled by default with PHP agent update: version 9.21.0

Thu, 09 Jun 2022 00:00:00 +0000

With the release of PHP agent version v9.21.0, upon agent upgrade, customers will now have distributed tracing on by default. This eliminates the need to configure the agent in order to have access to distributed traces. Distributed tracing gives software teams working in modern environments an easy way to capture, visualize, and analyze traces through complex architectures, including architectures that use both monoliths and microservices.

What’s the impact?

With this change, New Relic users will see distributed traces immediately upon upgrading to PHP version v9.21.0. Distributed tracing provides more data and better visibility for cross-application requests.

If you don't need this feature, it can be turned off in the PHP agent configuration file by setting distributed_tracing_enabled=false. More information on this configruation setting is available from the agent distributed tracing configuration documentation.

Infinite Tracing enhancements: EU & APAC. Browser, mobile, & Lambda

Thu, 09 Jun 2022 00:00:00 +0000

There are some new enhancements and benefits of New Relic Infinite Tracing that are now available:

EU & APAC availability: Access to New Relic Infinite Tracing is now available to all customers in the European Union and Asia-Pacific regions. Customers can send all their traces to a regional service (trace observer) to decide what data to send to New Relic. This ensures customers have a low egress cost for tail-based sampling while also addressing regional compliance requirements.

Browser, mobile, and serverless support: View traces from the entire software stack with support for browser monitoring, mobile monitoring, and AWS Lambda monitoring. frontend developers and cloud architects can now specify the types of browser, mobile, or serverless traces they care about and never miss a trace again.

AI-powered root cause analysis with the Zebrium integration

Thu, 30 Jun 2022 00:00:00 +0000

We've partnered with Zebrium to help you automate the process of finding the root cause of issues in logs. When a software or infrastructure problem occurs, Zebrium Root Cause as a Service will quickly and accurately find the root cause indicators so your teams don't need to manually search through all their logs. With this integration, you can also see details of the root cause on any New Relic dashboard page alongside your telemetry data.

Identify root causes at a glance with the Zebrium quickstart

Get instant visibility into detections, log anomalies, and root cause reports. Install the Zebrium Root Cause as a Service quickstart in New Relic I/O to get a pre-built dashboard to get started for free in minutes. See how it works in the following video:

Benefits

Never dig through logs again: When a problem occurs, automatically see log lines related to the issue in your New Relic dashboards. This can reduce downtime and speed up resolution from hours to minutes.
No manual training or rules needed: Getting started only takes a few minutes, and Zebrium's ML model can achieve high accuracy in just 24 hours. No need to set up machine learning training rules manually.
Accurately find root causes with confidence: A recent third-party customer case study validated that Zebrium can automatically find the root cause in over 95% of incidents
Easy access: Existing New Relic customers with full platform access can set up the integration for no additional cost. New customers can get started for free without a credit card. You can also get started with a free Zebrium account.

Get started

Read the blog to learn more.
Review the integration documentation and Nerd Byte instructional video.
Get instant observability. Check out New Relic I/O for more quickstarts that bundle everything you need to start monitoring your tools and technologies like a pro.

IBM MQ integration public preview

Thu, 16 Jun 2022 00:00:00 +0000

Introducing the public preview for our IBM MQ integration to monitor the performance of MQ objects like connections, channels, and queues. Analyze metrics over time to scale accordingly and keep your infrastructure messages and data flowing throughout your stack.

IBM MQ enables decoupled applications and services to communicate and exchange data in a reliable and scalable way, whether you're trying to integrate applications running in different frameworks, languages, platforms, clouds, or locations.

Instant observability

Install the public preview to instrument your IBM MQ infrastructure. It comes with a pre-built dashboard visualization providing key insights into the following metrics:

Total of connections
Connections by queue manager
Total of errors
Errors by queue manager
Total of messages
Messages by queue manager
Messages by queue
Queue depth
Expired messages by queue
Filesystem usage

Get started now

Head over to the IBM MQ quickstart located within Instant Observability for installation instructions for this public preview integration. Or, if you would like more detail, check out the IBM MQ documentation page.

New Relic supports Amazon EKS Anywhere on bare metal

Thu, 30 Jun 2022 00:00:00 +0000

Use on-prem infrastructure backed by AWS!

Amazon EKS Anywhere on bare metal lets you drive consistency backed by AWS while still leveraging your existing infrastructure bare metal investments on-premises.

How does New Relic work with Amazon EKS Anywhere on bare metal?

Leveraging New Relic as your observability platform can simplify monitoring of your dynamic Kubernetes environment. Whether your Amazon EKS clusters are deployed in the cloud or your own data center, you will get the insight and confidence that workloads are running as optimal as possible. With New Relic, we bring perspectives designed especially for Kubernetes application developers and engineers delivering Kubernetes enterprise-level services, so that you can get real-time insights into your containerized workloads and set up prompt notifications for when issues occur.

New Relic and Pixie support a guided install, HELM or manifest method, so that data is quickly populated throughout the platform. The New Relic Kubernetes cluster explorer will immediately show you the health and status of your nodes and pods. Any state changes would be identified and can be acted upon. Further analysis is available through Pixie or with tight integrations across the platform.

Kubernetes detailed view

Get started now

Learn how New Relic offers observability for your Kubernetes environments. Or, if you're ready to add your environment, check out the Kubernetes quickstart installation guided install.

New obfuscation features now available in log management

Wed, 01 Jun 2022 00:00:00 +0000

New Relic makes it easy for you to ensure data privacy and follow your organization's logs security guidelines with new obfuscation options now available for our log management feature.

Log obfuscation requires that your organization be on our newer pricing model and have the Data Plus option.

Define regular expressions to mask or hash data you want to protect and easily create custom rules before sensitive information is being stored, all directly available in the Logs user interface without the need for lengthy manual configurations.

Try it out:

Go to Logs in New Relic and from the left nav, select Obfuscation.
Select Create expression or Create obfuscation rule to get started.

New Relic's log management already helps you troubleshoot issues faster with simplified navigation, dashboard visualizations, the best logs in context, and now, a simple way to control what log data you may be required to protect.

To know more, see our docs on log management security and privacy and our docs about the Data Plus option.

Node.js and Python APM agent updates to include logs in context

Thu, 23 Jun 2022 00:00:00 +0000

Starting on July 21, 2022, when you update to one of our latest Node.js or Python agents, you will also automatically collect and forward logs to New Relic. Previously released for Java, .NET, and Ruby agents, enabling logs in context in a single deployment helps you identify root causes faster with the logs you need surfaced automatically alongside other relevant telemetry data—without a dedicated log forwarder or lengthy manual configurations.

Collecting application logs means that more data will be ingested into the platform and could impact your data ingest costs. Application logs in APM are only available after an APM agent update and are enabled by default. You will see no changes until you update your agent.

Remember, you always have direct control over which data you send to New Relic. For more information on how to adjust the default setting, see our documentation about disabling automatic logging.

New NRQL subqueries for more powerful data exploration

Wed, 06 Jul 2022 00:00:00 +0000

New Relic Query Language(NRQL) just got more powerful! With subqueries, you can now dive deeper to expand your analysis to include data from different data sources, time ranges, and entities in a single query.

A subquery is simply a NRQL query which is embedded inside of another query. Each subquery is evaluated, then the result is used during the execution of the outer query.

NRQL subquery examples

Here are two examples. For more details on how to use subqueries, see the examples in the docs.

Example #1

This query finds the number of transactions whose duration is above average:

SELECT count(*) FROM Transaction WHERE duration > (SELECT average(duration) FROM Transaction)

Example #2

This query leverages multiple nested subqueries to find the unique accounts responsible for transactions whose duration was greater than the 99th percentile:

FROM Transaction SELECT uniques(accountId) WHERE guid IN
  (FROM Transaction SELECT uniques(guid) WHERE duration >
  (FROM Transaction SELECT percentile(duration, 99)))

Demo

See how it works in the following video:

Get started

Review the documentation and then try out your own queries!
Read the blog for tips on using subqueries and see a few subquery examples.
Share your feedback, post your own subqueries, and see even more examples in the Explorers Hub discussion post.

Integrations & Agents: A simple way to instrument and visualize your data

Thu, 14 Jul 2022 00:00:00 +0000

Get started faster

Telemetry data is powerful to help you gain observability into your applications, network, infrastructure, and more. But instrumenting it all can be a pain with countless proprietary agents and integrations to manually install.

That's why we've designed the data onboarding experience in New Relic to make it easier, more flexible, and more connected to the right observability platform experiences—to help you get more value from your data.

Demo

The best part is that it only takes a few minutes to get started—no need for specialized instrumentation expertise. See a demo in the video below:

New features

Improved discovery and onboarding: A new user interface guides you through each step of installation and deployment based on your preferred technologies, with hundreds of data sources to choose from.
New install method support: Get more flexibility when instrumenting your data, to seamlessly and successfully monitor your applications regardless of whether they run on hosts, providers, Docker, or other environments.
A richer, more connected platform experience: It's now easier to get more value from your data. Go directly from instrumentation to the most relevant New Relic view such as application management, log management, or infrastructure monitoring.
A single place to install anything: Instrument data sources, deploy ready-made dashboards, set up alerts, or do it all. The new Integrations & Agents view gives you more granular control over what you install and how you explore your stack so you can focus on the job to be done.

Choose from hundreds of data sources, pre-built dashboards, and more in the new Integrations & Agents catalog. Select one to install your resources in minutes.

Infrastructure and real user monitoring (RUM) data in APM

Fri, 15 Jul 2022 00:00:00 +0000

Some types of infrastructure data and real user monitoring (RUM) data will now display in APM to help you troubleshoot issues and optimize performance.

Infrastructure data in context

New Relic now displays information about your hosts directly on the APM Summary page. You can see which hosts are causing issues without having to navigate away from the summary page. For deeper troubleshooting and performance analysis, you can view the Hosts page for more information on which processes are running and the latest events that have occurred. Check out the infrastructure monitoring docs to get started.

Real user monitoring data in context

New Relic gives you frontend page view information in associated transaction traces so you can quickly identify how severely issues are impacting your users. In addition to quick metrics like total page views and average response time, you can jump to Page views in New Relic for deeper analysis. Check out the browser monitoring docs.

July, 2022 End Of Life Announcements

Fri, 15 Jul 2022 00:00:00 +0000

This quarter we are discontinuing capabilities and features across the following products. If you have questions or concerns, please comment on this Explorers Hub post, or reach out to your account management team.

Support ending August 2022

**Python agent 3.6 PHP agent (certain versions, frameworks, platforms)

Support ending August 2022

**Pixie + NR Integration v1 Old synthetic private minion helm chart URL

Support ending September 2022

**Incident workflows (beta) *Pathways (old incident intelligence) *VictorOps (built-in alert notifications) *xMatters (built-in alert notifications) Service maps

FedRAMP approved accounts will collect and forward logs automatically when using supported APM agents

Thu, 14 Jul 2022 00:00:00 +0000

On August 12th, 2022, accounts approved under the Federal Risk and Authorization Management Program (FedRAMP) currently using one of our supported APM Agents will automatically start collecting and forwarding logs to New Relic. This provides you with the logs you need to troubleshoot issues faster, making your telemetry data more valuable without the need for forwarders or custom solutions.

Collecting application logs means that more data will be ingested into the platform, at your standard ingest rate. You always have direct control over which data you send to New Relic by configuring your agent.

See our documentation about disabling automatic logging or New Relic's data management hub for more information on how to adjust your default settings.

New Relic Monitoring for SAP Solutions now available

Wed, 20 Jul 2022 00:00:00 +0000

Recently, we launched New Relic Monitoring for SAP Solutions, where you can now inspect all of your SAP and non-SAP systems through one centralized view of your infrastructure, application, and business processes.

Now you will be able to:

See SAP application performance and overall health data in one place. Your telemetry metrics, events, logs, and traces all come together in a central view within our UI.
View your data in relation to your business processes. Understand your infrastructure and application data from the viewpoint of your corresponding business processes, such as order-to-cash and procure-to-pay.
Spot problems quickly with visualizations. By querying and viewing relevant data in our customizable charts and dashboards, you can identify root causes and resolve problems.
Prevent problems before they occur. Use our advanced alerting functionality to be notified about problems before they impact your customers.
Install monitoring centrally for end-to-end visibility. This tool can be installed on a central monitoring server, so you won’t need to install agents on all of your SAP production servers.

Read more about it in our solution page, our launch blog post, and our SAP integration documentation. You may also reach out to your New Relic sales rep or request a demo.

We're updating TLS requirement to 1.2 on Feb 1, 2023

Thu, 28 Jul 2022 00:00:00 +0000

At New Relic, security is our priority. This is why, effective February 1, 2023, at 16:00 UTC, we'll update our Transport Layer Security (TLS) requirements for all inbound connections to a minimum TLS version of 1.2.

If you're already using TLS 1.2 or above, you won't be impacted.

To avoid interruptions on your data, upgrade to an operating system and/or TLS stack that supports TLS 1.2 or above. To ensure TLS 1.2 compatibility, please work closely with your IT and security teams on creating a migration plan.

For more information, check out this Explorer’s Hub post, go to our network docs, or contact New Relic support.

Explore your new redesigned interface

Thu, 28 Jul 2022 00:00:00 +0000

Every engineer needs intuitive and fast access to telemetry data to make informed decisions about their applications and systems. That's why we've redesigned the New Relic UI to make it simpler, faster, and more convenient so you can focus on the data that matters most.

Starting today, you can test the new UI in a public preview. To try out the new features, go to your user menu in the top right corner, and toggle New design to On.

The enhanced user interface includes:

Default system health-at-a-glance: Instant visibility of all of your services in one place with throughput, response rate, and error rate under the new “All Entities” tab.
Less distractions: Declutter your workspace by collapsing the side menu to focus on what matters most.
Intuitive navigation: Get to your data faster with simple and consistent navigation across the entire platform.
Full customization: Personalize your experience by pinning your most used tools and features to the nav bar.
Easier instrumentation: Immediately access hundreds of data sources, pre-built dashboards, alert configurations, and custom applications that help you monitor your stack from the “Integrations & Agents” button in the nav bar.

Read our blog, check out our docs page, and watch the demo video below for more tips and tricks on using the new interface.

React Native support for mobile monitoring

Tue, 19 Jul 2022 00:00:00 +0000

Smartphones have revolutionized the way companies advertise, communicate, and most importantly, interact with their consumers by way of mobile applications — with most users preferring to use apps on iOS or Android devices. But it isn’t always easy to replicate a desired mobile application on another platform.

React Native is an open-source framework that enables developers to build mobile apps across multiple platforms via a single code base; this requires fewer resources and incurs a lower cost. Building modern applications with such open-source frameworks has increasingly become the norm, and while this streamlines the development process for engineers, these applications still need to be monitored in production. New Relic is happy to announce that our mobile monitoring solutions now support applications built using React Native. Initial support allows you to:

Understand user behavior better Now, our mobile agent can easily capture interactions from React Native-instrumented apps at the sequence in which they were created, and pass user information to New Relic without the use of a plugin to track user sessions. You can seamlessly view your mobile traffic all in one place, and even take a look at which users came from specific iOS or Android phones and tablets. These features and compatibility with React Native-instrumented apps become crucial for teams struggling to understand their user base, especially in mobile-first countries in Asia or Latin America. New Relic also tracks network latency (how long it takes for a user to make requests), which can also provide insight into regional differences in user engagement.

Capture and trace errors With many mobile applications, the errors recorded are often native to the codebase and can be difficult for non-mobile devs to decipher. Since React Native uses Javascript to create mobile apps, New Relic can now capture JavaScript errors that are more universally understood by engineers. Records of console logs, warnings, and errors are all kept for New Relic users to perform retroactive incident reports, and distributed tracing for React Native also helps drill into the backend cause of an issue on the frontend. Ultimately, the new value-adds to mobile monitoring strive to uphold New Relic’s mission to enhance performance observability and streamline the mobile developer’s lifecycle.

ICYMI - new infrastructure features to help you

Wed, 27 Jul 2022 00:00:00 +0000

Additions to help you troubleshot

Like you, our product team is constantly iterating on our product to add features and improve your experience. This time, the infrastructure monitoring user interface gained three new tabs, making viewing and troubleshooting your infrastructure components easier.

We have added Network, Process, and Storage tabs for infrastructure components to the single entity view.

Check out this short video that walks through each tab, highlighting UI elements that make your job easier.

Get started now

Head over to infrastructure monitoring and see how these additions can help you troubleshoot faster.

Introducing database monitoring with the DBmarlin integration

Mon, 29 Aug 2022 00:00:00 +0000

The new DBmarlin integration and the DBmarlin quickstart dashboard for New Relic make it easier to monitor the functionality and performance of your databases alongside the rest of your observability data.

DBmarlin brings deep database performance and change monitoring to the New Relic platform so that developers, testers, SRE engineers as well as database administrators can understand why database performance is slow and how to improve it.

The quickstart sends database performance data, including database time, top SQL statements, and top wait events, from DBmarlin to New Relic. It also comes with a pre-built dashboard so you can see when database slowdowns occur and what is causing them.

Install the DBmarlin quickstart for a pre-configured dashboard to quickly monitor the performance of your databases.

Benefits

Monitor database performance, track changes, and help your databases run fast.
Easy and consistent monitoring for CockroachDB, DB2, MariaDB, MySQL, Oracle, PostgreSQL and SQL Server, self-hosted or in the cloud.
See how changes to your code, user load, infrastructure, or some other event impacts performance.
Capture SQL statement text and wait events so you can see exactly where the time is spent executing SQL within your database.
Auto-detect changes to schema objects, database parameters, and execution plans so you can see their impact on performance.

Get started

You can send data to New Relic with DBmarlin v2.7 and above. This allows you to monitor database performance data within a customizable New Relic quickstart dashboard alongside the rest of your stack.

Install the quickstart.
Claim a free premium copy of DBmarlin that can be applied to any supported database.
Before installing the integration you'll need to install DBmarlin. If you haven't already installed DBmarlin, see the install instructions.
Read the DBmarlin blog to learn more about version 2.7 of DBmarlin and the New Relic integration.
Check out the Explorers Hub post.

Create and monitor self-serve developer environments in minutes

Wed, 31 Aug 2022 00:00:00 +0000

Connect self-serve developer environments with full stack observability

We've partnered with WayScript to build an integration that lets you quickly create a developer environment and automatically monitor it with a suite of observability tools.

This integration lets you:

Instantly spin up containerized developer environments in a single click.
Host full-fledged apps, set up internal microservices, and more, with built-in tools like a terminal and IDE.
Monitor and troubleshoot everything you build with an easy connection to the New Relic observability platform.

How to get started

It only takes a few minutes to create your environment in WayScript, connect it to New Relic, and start monitoring your apps and services.

Watch the demo above for a tutorial.
Read the blog post for step by step instructions.
If you don't have one yet, sign up for a free WayScript account and free New Relic account.

Learn more

Learn how to build your first tools with the WayScript starter docs.
Check out the integration docs.

Collaborate with your teammates directly from New Relic

Fri, 26 Aug 2022 00:00:00 +0000

We’re making it easier for you to work effectively with your teams by adding collaboration capabilities to New Relic. You can now have discussions directly from the New Relic interface, eliminate app-switching, and reduce delays associated with fragmented discussions in emails and multiple Slack or Teams channels.

See how it works in the demo video below.

Key Features:

Add comments on any page and keep your discussions with your data.
Slack integration that syncs discussions on New Relic with threads in Slack, making it easier to collaborate with all of your teammates even outside New Relic. (MS Teams coming soon.)
Integrated screenshot tool to highlight problem areas, and effortlessly share them via email and Slack in a few clicks.
Capture institutional knowledge as you go with a searchable archive of ongoing discussions, answered questions, and resolved issues.

To test out the new collaboration features, sign up here.

Note: The collaboration features require your account to be on the New Relic One user model, and for you to be using our redesigned UI. If you’re not already using the new UI, head to your account menu at the top right corner, and toggle New Design to On.

New Relic Data Plus now allows you to analyze larger data volumes through long running queries.

Thu, 25 Aug 2022 00:00:00 +0000

Analyze larger volumes of data with long running queries

After the launch of Data Plus in June, we are continuing to support and help your teams scale their observability practices. Many organizations pull in large amounts of events and data from their systems which can too much data to efficiently run queries for troubleshooting. Today, Data Plus customers can utilize longer running queries (up to 10x the the previous maximum duration) to analyze larger data volumes efficiently. Data Plus customers get a max query duration of up to 10 minutes via NerdGraph (New Relic's GraphQL API) and up to two minutes via regular NRQL query builder, compared to 60 seconds for the existing data option. Learn how to run queries via our NerdGraph API.

In addition to more powerful and 10x longer-running queries, Data Plus also includes:

Up to 90 days of data retention
FedRAMP and HIPAA compliance (Pro and Enterprise customers only)
Logs obfuscation
Cloud provider choice (coming soon)
Enhanced streaming and historical data export (coming September)
Vulnerability management (coming soon)

How to Sign up for Data Plus

Understand the new pricing mode and upgrade to Data Plus here at a promotional pricing model of $.50/GB.
Learn more about about longer running queries on our GraphQL API or get started querying your data using NRQL.

Connect observability and your code with golden signals in your IDE

Tue, 13 Sep 2022 00:00:00 +0000

Ruby Engineers can now access CodeStream’s instant observability features all the way down to the method-level, enabling you to optimize app performance and resolve errors faster.

This update lets you:

Easily access the golden signals alongside the code that you’re working on with Code-level metrics and click-through to the APM service summary page on New Relic to get more insight.
Monitor overall performance with Service-level telemetry, which surfaces the golden signals for the services associated with the repo you have open in your IDE. With just a click you can also see the metrics for any service that calls, or is called by, your service.

How to get started

Install New Relic CodeStream's IDE Extension and sign up.
Update and configure your Ruby APM agent
Read the blog post for more information.

Attention: .NET engineers! You can now connect observability and your code with golden signals in your IDE

Tue, 27 Sep 2022 00:00:00 +0000

As a .NET engineer, you can now access CodeStream’s instant observability features all the way down to the method-level, enabling you to optimize app performance and resolve errors faster. By updating your .NET agent to v.9.9.0.0 or higher you can access code-level metrics, letting you see the golden signals alongside the code you’re working on. Additionally, you can now get the bigger picture with service-level telemetry, which surfaces telemetry data including throughput, error rate, and response rate for services associated with the repo you have open in your IDE, as well as the services it is called by.

This update lets you:

Easily access the golden signals alongside the code that you’re working on with code-level metrics and click through to the APM service summary page on New Relic to get more insight.
Monitor overall performance with service-level telemetry, which surfaces the golden signals for the services associated with the repo you have open in your IDE. With just a click you can see the metrics for any service that calls, or is called by, your service.

Watch this demo video to learn how to set up access to golden signals in your IDE with CodeStream:

How to get started

Install New Relic CodeStream's IDE Extension and sign up.
Update and configure your .NET APM agent.
Read the blog post for more information.

New UI will be enabled by default on 10/17

Fri, 16 Sep 2022 00:00:00 +0000

At New Relic, we believe that every engineer needs intuitive access to telemetry data, which is why we’re launching a redesigned UI on October 17, 2022. And we’re making it easy to upgrade: All users* will default to the new UI automatically, but don’t worry–you can still switch back to the old UI by navigating to your account settings menu and toggling New design to Off.

* If you’ve already tried the new interface and switched back to the old design, you won’t be affected by this change.

Why are we doing this?

With the new UI, you can now get to the root cause of issues faster and instrument your systems with a customizable navigation that’s relevant to your workflow.

What’s changing?

The enhanced user interface includes:

Intuitive navigation: Get to your data faster with simple and consistent navigation across the entire platform.
Full customization: Personalize your navbar by pinning and unpinning features that are relevant to you.
Easier instrumentation: Immediately access onboarding flows that help you make the most of your data.
More data at-a-glance: Get instant visibility of all your services in one place.

To try the new UI now, navigate to your account menu and toggle New design to On. Learn more about the new interface by checking out the docs transition guide, tips & tricks blog post, and demo video below.

Query and update user info with NerdGraph API

Fri, 30 Sep 2022 00:00:00 +0000

You can now query a user's name, user ID, user type, email, and last active date with our NerdGraph API. You can also update a user's user type and email address.

NerdGraph is our GraphQL-format API that lets you query New Relic data and configure some New Relic features. It is an open-source API format that allows you to request exactly the data needed, with no over-fetching or under-fetching.

Watch this short video to learn how to get started with NerdGraph API Explorer:

Check out the NerdGraph tutorials in our docs to learn more.

Optimize the performance of multi-cluster Kubernetes workloads

Thu, 15 Sep 2022 00:00:00 +0000

Build performant Kubernetes workloads by understanding how multi-cluster performance impacts your apps

Analyze workload performance across all your clusters in a single, curated UI.
Get alerted with a real-time activity stream for K8s events and critical issues.
Correlate performance anomalies across clusters with one-click logs and side-by-side (selectable) metrics.

How to get started

Go to APM, or on the left hand navigation, select Kubernetes. Alternatively, you may follow along manually using our Kubernetes integration docs.

Note that in order to see Kubernetes performance data in New Relic, you must meet these prerequisites:

You've installed the New Relic infrastructure integration
You are using APM
Users must be full platform users

A screenshot showing CPU usage by cluster over time.

Pixie launches low memory mode to reduce resource requirements

Tue, 20 Sep 2022 00:00:00 +0000

Deploy Pixie to more clusters with reduced memory requirements.

We've reduced Pixie's memory requirements by 50%, dropping its minimum memory requirement down to 1 GB.
Systems with as little as 4GB of total memory are now viable to run Pixie (to accommodate application pods, we recommend that no more than 25% of the nodes' total memory be allocated to Pixie).
For larger clusters, we still recommend using the default 2 GB memory configuration for optimal performance.

How to get started

By default, the vizier-pem's memory request is the same as the limit.
If you want to specify a different memory request, you can add the following configuration parameter to your Helm chart during installation. For example, for a 1 GB memory request you'd use: --set pixie-chart.pemMemoryRequest=1Gi

Learn more in our Pixie docs.

Use Pixie to find performance bottlenecks and understand your Java app CPU usage

Tue, 20 Sep 2022 00:00:00 +0000

Optimize your Java code by understanding CPU utilization using flamegraphs

Understand where your Java application is spending its CPU time and why CPU utilization increased with your new release.
Use continuously in production with a minimally-invasive, ultra low overhead (< 0.1%) profiler.
Avoid downtime with no need to re-deploy your application.
Get full system visibility, including for both Java and all other running applications.

Note: Pixie's continuous profiler also supports Go, C++, and Rust.

How to get started

Deploy Pixie in your cluster(s).
In the New Relic UI, select a pod listed in the Kubernetes cluster explorer view to see the pod details view.
From the pod details view, select the Check flamegraph in Pixie option.
Alternatively, use the px/node script in the Live debugging with Pixie tab. Scroll to the bottom of this view to see the CPU flamegraph for the node.

Learn more and check out a deep-dive video on the Pixie docs page.

A screenshot showing CPU utilization by function.

Gather new users into a single New Relic organization with domain capture

Wed, 28 Sep 2022 00:00:00 +0000

Minimize the likelihood of unintentional sign-ups for new, disconnected Standard edition New Relic organizations. As an administrator with access to organization settings, you can now verify your company’s domain(s) with New Relic to enable domain capture. This feature gives new users that sign up with a verified matching email domain the option to automatically join your existing Pro or Enterprise edition New Relic organization. New users get a more straightforward sign-up flow that will grant seamless access to your company’s data and monitoring tools that you’ve already set up, which alleviates the stress of manually distributing access. In addition, this will allow for instant collaboration between the new and existing users.

The new user sign-up flow after domain capture is enabled.

Take a deeper dive into the key steps involved in enabling domain capture:

Domain name system (DNS) verification will provide the necessary security by ensuring that the domain(s) inputted belong to the company in question. Add the TXT record provided by New Relic to your DNS records. If needed, ask your IT department for assistance with this process.
Configure preferences for the new user sign up process. Determine the domain, user group, and user type that the new users will be assigned to. The user group determines the individual’s access limitations within the account.

Set up domain capture today or learn more by checking out the launch blog post.

Announcing support for OpenTelemetry Protocol (OTLP) version 0.18.0

Fri, 30 Sep 2022 00:00:00 +0000

Today, we're excited to announce support for OpenTelemetry Protocol (OTLP) version 0.18.0. A number of enhancements have been introduced to the protocol since we announced general availability for OTLP version 0.10.0 a year ago.

Importantly, the logs data model was declared stable in version 0.18.0. The data models for the other signals, traces and metrics, were declared stable in prior releases. The stability of all three telemetry signals marks an important milestone for the project and better stability guarantees for users. At this time, JSON encoding has not yet been declared stable.

Another exciting enhancement available in version 0.18.0 is the addition of exponential histograms. These provide better representation for high density distributions of measurements like response times with little to no configuration required. Learn more by reading our recent blog post on OpenTelemetry exponential histograms.

Finally, some fields have been added, changed, and removed from the protocol in this version. For the cases where fields were changed or removed, we've taken measures to provide backwards compatibility despite breaking changes. For more information and important notes on potential future breaking changes, read our documentation on OpenTelemetry version support.

New Relic announces support for Amazon VPC Flow Logs via Amazon Kinesis Data Firehose

Thu, 08 Sep 2022 00:00:00 +0000

Easier setup, faster exploration, and better insights to help you troubleshoot

With the release from Amazon Web Services (AWS), we’re announcing support for Amazon Virtual Private Cloud Flow Logs via Amazon Kinesis Data Firehose to reduce the friction of sending logs to New Relic. With VPC flow logs from across your AWS estates, you can quickly understand key insights for performance analytics and troubleshooting network connectivity.

Amazon Virtual Private Cloud (Amazon VPC) enables you to launch AWS resources into an isolated and secure virtual network with the benefits of using scalable AWS infrastructure.

With New Relic’s Amazon VPC flow log integration, you’ll be able to:

Monitor and alert on network traffic from within your VPC in New Relic.
Visualize network performance metrics like bytes and packets per second, as well as accepts and rejects per second across every TCP or UDP port.
Explore flow log deviations to look for unexpected changes in network volume or health.
Diagnose overly restrictive security group rules or potentially malicious traffic issues.

How to configure

With a guided configuration that supports both the AWS CLI and CloudFormation, customers can quickly define the VPCs that will ship flow logs, opt to sample or send all logs, and quickly explore VPC telemetry using network performance monitoring in New Relic.

If you don't have one, sign up for a free New Relic account.
In New Relic, click Integrations & Agents and search for VPC flow logs.
Follow the guided install process to configure your AWS environment to send VPC flow logs to New Relic using a Kinesis Data Firehose.
Explore your VPC flow logs using network monitoring, New Relic Explorer, New Relic Navigator, and New Relic Lookout.
You’ll now be able to use the curated flow logs view shown within infrastructure monitoring to answer “Is it the network?” faster.

Next Steps

Sign up today for a free New Relic account to take advantage of the 100 GB/month of data ingest, one full-platform user, and unlimited basic users offering to get started with network monitoring as part of the observability journey.

Check our documentation on how to set up AWS VPC flow log monitoring for more details.

Optimize your error tracking experience

Thu, 06 Oct 2022 00:00:00 +0000

We’ve released a few errors inbox features designed to help you efficiently prioritize and organize your error groups, and help you act quickly on any errors without having to switch contexts.

These enhancements include:

Regression flags for faster detection and prioritization: Error groups that were previously resolved are auto-unresolved if a new error instance that matches an error group fingerprint is detected. Regressed error groups are valuable to identify because they generally represent a higher ROI bug since they continue to occur.
Bulk actions to save time and declutter the inbox: You can now update the status of multiple error groups (up to 2,000) all at once.
Email Notifications to foster contextual collaboration: Email notifications and any status updates are now sent via New Relic to assigned users, with detailed error information in-line.

How to get started

Check out our errors inbox documentation.
BONUS Watch this Nerd Bytes video for another cool errors inbox feature: the Jira Integration.

New Relic Data Plus allows for streaming export of your data through AWS Kinesis Firehose for deeper data exploration and compliance needs.

Mon, 31 Oct 2022 00:00:00 +0000

Streaming data export allows you to stream data out of New Relic for deeper data exploration as well as for compliance and security

Today, Data Plus customers can stream data out of New Relic (as it is being ingested) for compliance, security, and deeper data analysis. This is done through AWS Kinesis Firehose via NerdGraph. Using NerdGraph queries, you can create and manage streaming rules that determine what sort of data will be exported in real time. As this data is only exported during ingestion, it differs from historical data export which reports past data, not data currently being ingested.

In addition, Data Plus also includes:

Up to 90 days of data retention across all data types
FedRAMP authorized
HIPAA compliance with HITRUST certification (Pro and Enterprise customers only)
Logs obfuscation
Historical data export
Vulnerability management
Cloud provider choice (Q1 2023)

Learn more about streaming data export

Take a deep dive into all the capabilities available in our streaming data export doc.

We’ve got a new look!

Mon, 17 Oct 2022 00:00:00 +0000

Starting today, New Relic is launching a fresh, new look for all our users! Experience our simplified user interface that makes it easier for you to navigate the platform and take advantage of all the awesome features.

Don't worry, you can still switch back to the old UI by heading to your account settings menu and toggling New design to Off. If you’ve already tried the new interface and switched back to the old design, you aren’t affected by today’s change.

With the new interface you can:

Solve problems quicker with simple and intuitive navigation.
Increase efficiency by customizing your experience and pinning and unpinning features that are relevant to you.
Make the most out of your data by ingesting new data sources with easy access to hundreds of onboarding flows.

Learn more about our reimagined UI by checking out the docs transition guide, tips & tricks blog post, and demo video below.

Enhanced string parsing for better, more efficient NRQL queries

Fri, 14 Oct 2022 00:00:00 +0000

NRQL productivity improvements makes querying faster with anchor parse, regex multi-capture, and more.

Making sense of complex data like log messages just got easier! With NRQL variables, the new aparse() and if() functions, you can obtain useful information from your data more efficiently and gain insights faster.

With NRQL variables, you can assign values to variables and use them multiple times in your query. The if() function lets you select one of two results based on a condition that's either true or false. In addition, we've enhanced our existing regex capture() function to allow multiple capture groups, for simpler queries with better performance!

In this example, we extract an item ID, and unit price from a log message, and additionally show which pricing tier the item falls into:

The aparse() function is a simpler, faster alternative to capture() for use when you don't require the full power of regular expressions. With aparse(), use "anchor" text and the '*' wildcard to capture the fields you need:

Check out this demo NerdByte video on the new NRQL query components

Next steps

Review the docs for NRQL variables, aparse() and if() and start writing your own queries!
Read our blog post for more tips and examples.
Share your feedback, post your own queries, and see even more examples on our Explorer's Hub: Anchor parse and NRQL variables, Regex Multi-capture, and if().

Get full visibility into your Roku streaming application with our Roku agent

Tue, 18 Oct 2022 00:00:00 +0000

Our Roku agent provides the first comprehensive observability solution on the market for monitoring your Roku streaming applications. And now, we’ve enhanced it by offering new monitoring capabilities while making it even easier to understand your Roku app’s performance.

Use network connectivity analytics to quickly detect and understand critical issues.
Process large quantities of data with performance metrics.
Get access to curated UIs with preconfigured, interactive data visualizations without having to manually run queries or create dashboards.

Key functionalities of our updated agent include:

HTTP requests and errors, which can be manifestations of ISP or CDN issues, or unwanted changes to the application or backend services. Faster identification and understanding of these issues is critical to maintaining a positive user experience.
Video QoE analytics that correlate video quality issues with the rest of the streaming architecture and video playback sessions with backend systems.
Viewer journey tracking that helps you inspect a given customer’s video playback experience, including the path to reach their content and the time needed to complete critical actions. Pinpoint impacted services along with where bottlenecks and drop-offs occur.

Install the agent today or learn more by checking out our blog and docs page.

New Relic vulnerability management public preview 90-day free trial now available

Thu, 20 Oct 2022 00:00:00 +0000

New Relic vulnerability management integrates security in observability by providing actionable security insights alongside your telemetry data. Now you can see vulnerabilities, performance, and availability issues in one connected experience so you can quickly prioritize and remediate them in context, reducing overall risk more effectively.

Join the public preview 90-day trial and access security information across your entire software stack with:

All-in-one platform access: Access to all vulnerability management features with no additional configuration or instrumentation changes.
Automatic recommendations for libraries to address common vulnerabilities and exposures (CVE) that expose services to security risks. Correlated findings help you track and address what is important fast.
Open ecosystem to integrate security data from assessment tools like Snyk, Lacework, and Dependabot, alongside telemetry data to provide observable security in context to eliminate data silos.
Trial available through Jan 31, 2022. Generally available early next year with Data Plus.

Get started with your 90-day free trial or check out our docs.

Our Synthetics runtime is now available on private locations!

Fri, 23 Sep 2022 00:00:00 +0000

On Friday September 16, 2022, we launched the synthetics job manager, which lets you run our latest synthetics runtime on private locations! The job manager addresses many feature requests and resolves some deployment pain points.

Improvements

Kubernetes The new synthetics job manager uses K8s CronJobs to execute scripted API and scripted browser monitors. This combined with the creation of a new Helm chart allows the customer to control many requested settings and improves the success rate for customers across K8s flavors and container runtimes. In contrast, the containerized private minion (CPM) and the legacy runtime interacted directly with K8s APIs to spin up runner and health check pods. Because the configuration for these pods was stored inside the CPM, support for most configuration changes resulted in new feature requests that increased the internal backlog.

More customer control Additionally, the job manager uses runtime-specific container images. The synthetics job manager image is responsible for only coordinating jobs (hence the name job manager) while the CPM would run ping jobs from the minion container and any other job types from the large minion-runner container. Separate runtime images are available for the ping runtime, the Node API runtime, and the Node browser (Chrome) runtime. While the default behavior is to download and run all three runtimes, the DESIRED_RUNTIMES setting in Docker or the .enabled settings for each runtime in K8s can prevent downloading and running runtimes that are not used.

Reducing customer pain points Legacy runtimes are not bundled with the synthetics job manager. The containerized private minion (CPM) included a number of legacy runtimes versions of Node and Chrome as old as Chrome 44, which caused a number of security scan concerns for our customers. This resulted in a large runner container image.

The CPM uses a mounted volume (Docker) or persistent volume and claim (K8s) for communication between the minion and the minion runner containers. The synthetics job manager uses HTTP for this communication instead, which reduces permissions issues in high security customer environments.

The synthetics job manager will reuse a single Docker network to communicate with runtime containers. In contrast, the CPM created a new Docker network for each non-ping job execution, which sometimes resulted in Docker IP range exhaustion and internal engine errors due to the volume of networks.

Temporary limitations Ping monitor jobs cannot be routed to the synthetics job manager yet. This will be addressed short term and in a way that the ping monitor jobs can be load balanced between synthetics job manager and the containerized private minion (CPM). Migrations and runtime upgrades can occur if both are configured for the same private location.

A few less frequently used capabilities in the CPM are not yet available in the synthetics job manager. These include:

SSL certificate expiration, broken link, and step monitors are not yet supported in the Chrome 100 / Node 16 runtimes
Verified script execution (VSE)
Check timeout overrides
User defined environment variables
Adjusting JVM configuration options
Custom Node modules

Our team will prioritize the above features based on the volume of requests we receive. Please reach out to your account team if you feel prevented from using the new job manager due to requirement of the above features.

What about legacy runtimes and the CPM? The synthetics job manager will only support the newest synthetic runtimes (Chrome 100 and Node 16). The containerized private minion (CPM) will only support legacy runtimes (Chrome 72, Node 10, and older). We are no longer bundling or supporting legacy runtimes with the synthetics job manager due to the build, support, and security scan challenges that arise.

Private location configuration options Customers can either create a new private location to use with the synthetics job manager or they can configure the job manager to use an existing private location. If the same private location is used for both synthetics job manager and CPM, the CPM will run all legacy runtime jobs and the synthetics job manager will run all new runtime jobs.

Additional resources

Send more custom events with the next APM agent update starting Oct 26

Wed, 26 Oct 2022 00:00:00 +0000

Starting Oct 26th, 2022, when you update to the latest APM language agents (Go, Java, .NET, Node.js, Python, Ruby), the default custom event limit will be automatically increased. Additionally, we're introducing a new higher maximum limit.

Custom events can be used to define, visualize, and get alerts on additional data, just as you can with any data reported by default from our agents. With the custom event limit increase, you can now ingest more custom events to track critical actions for analysis and troubleshooting.

You always have direct control over which data you send to New Relic:

Ingest monitoring: To monitor your custom event ingest, in the New Relic UI go to the Manage your data section, click Data ingestion, and look for the Custom events in the usage chart.
Change the custom event limit anytime: You can modify the maximum number of custom events you send to New Relic anytime by configuring the respective agents (Go, Java, .NET, Node.js, Python, Ruby).
Disable custom events: Turn off custom events reporting at any point by configuring the respective agents (Go, Java, .NET, Node.js, Python, Ruby).

Monitor Jenkins with OpenTelemetry and New Relic

Tue, 25 Oct 2022 00:00:00 +0000

You can now monitor your Jenkins data with New Relic using the Jenkins OpenTelemetry plugin. Jenkins is a popular open-source automation tool for implementing continuous integration (CI) and continuous development (CD) workflows called pipelines. The Jenkins OpenTelemetry plugin makes it easier to get observability into your CI/CD pipeline health and performance.

Install the Jenkins quickstart dashboard for a pre-built view of your key pipeline metrics. For example, you can see a summary of the number of Jenkins instances available, the number of successful jobs, the top errors, and the job queue status.

Improve your jobs and builds with pipeline observability

Sending your Jenkins pipeline data to New Relic provides visibility into the building and deployment phases of the DevOps lifecycle. The Jenkins plugin gives you more insights into your DevOps practices and helps you shift left.

With the Jenkins integration and quickstart, you can easily:

Understand the health of your Jenkins pipelines at a glance with a pre-built dashboard showing key metrics about your builds, agents, queues, jobs, and more.
See exactly where pipelines start failing with distributed traces, allowing you to create appropriate alerts
View Jenkins console logs in context of your pipeline build steps

Get started

To start monitoring Jenkins in New Relic:

Watch the video above for a demo walkthrough
Read the blog and documentation for set up instructions
Install the quickstart to get the out-of-the-box Jenkins monitoring dashboard

Starting November 3rd, your Go and PHP APM agent update will include automatic logs in context

Tue, 11 Oct 2022 00:00:00 +0000

Starting on November 3rd, 2022, when you update to our latest Go or PHP agents, you'll also automatically collect and forward logs to New Relic, joining the previously released Java, .NET, Ruby, Node.js, and Python agents that now include logs-in-context in a single deployment, without a dedicated log forwarder or lengthy manual configurations. This lets you easily take advantage of our improved UI that surfaces the logs you need alongside other relevant telemetry data to help you identify the root cause of issues faster.

Collecting application logs means that more data will be ingested into the platform. Application logs in APM are only available after an APM agent update and are enabled by default. Until you update your agent, you will see no changes.

Remember, you always have direct control over which data you send to New Relic. For more on how to adjust the default setting, see our docs on disabling logging.

Transactions with OTel metrics

Fri, 14 Oct 2022 00:00:00 +0000

To understand how the different endpoints of a service are performing, with accurate measurements even when tracing spans are sampled, you can now use the Transactions view with OpenTelemetry metrics. Transactions for OpenTelemetry now offers these features:

Choose a view of endpoint performance based on either metrics or spans
New charts
- Total time resources consumed by each endpoint
- Comparison of time consumed, throughput, or average response time for top endpoints

Sampling spans? You'll need metrics

When instrumenting your services with OpenTelemetry, you can save on telemetry cost and make it easier to find the most relevant traces by collecting only a sample of tracing spans. This is often done using head-based or tail-based sampling techniques, with the opentelemetry-collector by itself or in combination with New Relic's Infinite Tracing for OTLP.

However, sampling spans means that you need another way to get accurate aggregate measures of service performance, in particular of throughput. OpenTelemetry metrics addresses that problem, including support for histograms so that you can see response time percentiles, for example.

Understand service performance using spans or metrics

Now you can have accurate measures of performance broken down by the endpoint or route (we call them "transactions") of your OTel-instrumented services in New Relic, as well as the trace/span data to explain why performance has changed. We've also made changes to the Transactions page that focus your attention on the endpoints that are consuming the most time, with options to see the slowest average transactions or the highest-throughput transactions.

To choose a view of transaction performance for your service based on metrics, just select the Metrics toggle at the top of the Transactions page.

The Transactions view works today with metrics only for HTTP service endpoints. For other protocols like gRPC, or if you're not yet collecting metrics from your OpenTelemetry services, you can continue to use the Transactions view with tracing spans.

New NRQL string functions for better data formatting

Thu, 27 Oct 2022 00:00:00 +0000

With the launch of four new NRQL functions, you can now transform string data right within your query.

Better formatting and easier comparisons

substring() extracts part of a string
position() finds the location of a substring within a string
lower() changes a string to lowercase
upper() changes a string to uppercase

Combine functions to query what you need

By combining these new string functions, you can extract and format the data you want right within your NRQL query. This can be especially powerful when combined with our recently announced NRQL variables feature for even faster insights:

Next steps

Review the docs for substring(), position(), upper(), and lower() and start working with strings in your queries!

New Relic adds App Runner integration

Fri, 04 Nov 2022 00:00:00 +0000

Amazon Web Services (AWS) offers AWS App Runner as a fully managed service to enable developers to quickly build and deploy containerized web applications, mobile backends, and APIs securely, at scale, and with no prior infrastructure experience required.

New Relic now integrates with App Runner and you can use this to monitor and optimize your containerized applications, ensure they perform as expected, and validate that the App Runner service was deployed correctly. In addition, the reporting of metrics, events, and logs gives complete visibility into your containerized application.

Metrics and logs for AWS App Runner displayed in New Relic

In this example dashboard provided in the AWS App Runner quickstart from New Relic Instant Observability, you can see the data needed to monitor the health of your App Runner deployment, including latency, traffic, errors, and utilization.

From this dashboard, you can see whether RequestLatency is associated with CPUUtilization, MemoryUtilization, or change in the total number of requests. For example, suppose you determine latency issues are associated with utilization. In that case, it's possible that your resources are under-provisioned, and that auto-scaling settings or reserved CPU units need adjusting to prevent a degraded customer experience.

Conversely, if CPUUtilization or MemoryUtilization is much lower than the threshold consistently, you may consider scaling back your provisioned resources to be more cost-effective.

Troubleshoot errors and alert on key metrics like 4xxStatusResponses and 5xxStatusResponses and see the error percentage along with successful 2xxStatusResponses requests.

To begin exploring how to instrument AWS App Runner with New Relic, see our App Runner docs.

Get automatic visibility into AMQP messages, and trace TLS messages to Node.js services in your K8s clusters

Wed, 09 Nov 2022 00:00:00 +0000

Get automatic message tracing in Kubernetes using Pixie and eBPF.

Today we’re adding support for AMQP, giving you visibility into RabbitMQ messages. Additionally, you can now analyze Node.js applications using TLS.

When you’re troubleshooting your Kubernetes applications, you need to understand the messages being transmitted between different services. With automatic tracing, you get a service map of your entire cluster, allowing you to understand throughput, latency, and error rates across your services. This includes the ability to parse payloads, with full body request and response, and identifying full database queries.

Under the hood, we use Pixie and eBPF to automatically collect fine-grained telemetry data, including service-level metrics, unsampled requests, and more. With one install command, you get deeper insight into your Kubernetes clusters and workloads. No language agents required!

We support the following protocols:

HTTP
gRPC
MySQL
PostgreSQL
Kafka
Redis
Cassandra
DNS
AMQP (New)
NATS

For tracing messages over TLS/SSL, we support the following libraries:

OpenSSL 1.1.0 or 1.1.1 (includes Node.js, which uses OpenSSL differently than other applications).
Golang TLS (crypto/tls).

How to get started

Install Pixie
Open the Live debugging with Pixie tab to explore your telemetry data.

Watch this overview video to learn more.

A screenshot showing AMQP messages.

Upgrade your APM agents now to get enhanced monitoring capabilities

Wed, 09 Nov 2022 00:00:00 +0000

The latest version of agents provides you improved monitoring capabilities to analyze the performance of your systems. Here are some of the key features that you could be missing out on if you don’t upgrade:

Decode system complexity with distributed tracing: With distributed tracing enabled by default in the latest agents, you can see all your service dependencies and quickly drill down into individual requests and errors to find the root cause of issues.
Troubleshoot faster with logs in context: With the latest agents, you can minimize context switching and troubleshoot issues faster by accessing logs inside the APM UI alongside other relevant telemetry data.
Access production telemetry data in your IDE with Codestream: See all telemetry data associated with specific lines of code with Codestream that is available by default in the latest agents. Also, you can discuss code, track issues, review pull requests, and jump from errors inbox directly to the relevant code in your IDE.
Record and monitor critical events: With the latest agents, you can send up to three times more custom events to record and track critical actions for analysis and troubleshooting.

Monitor your HCP Consul environment with New Relic

Tue, 08 Nov 2022 00:00:00 +0000

DevOps teams and app developers need visibility into their microservices and networks. This can be hard to achieve with the growing number of services and complexity of their networks. The HCP Consul integration with New Relic eliminates the blindspots while troubleshooting your service mesh data centers, providing insight into the flow and performance of your distributed systems.

Improve HCP Consul environment health

Monitoring your cluster metrics is pivotal for keeping your mesh services operating at full capacity. Keeping your Consul clusters healthy can help with:

Optimizing query times
Troubleshooting slow HTTP response times
Real-time alerting on down-time for your HCP clusters

This integration works by installing goStatsD tooling on your HCP Consul cluster and sending metrics to New Relic for data visualization, alerting, and more. For additional details, see our HCP Consul integration docs.

Get the quickstart dashboard

Install the HCP Consul quickstart for a pre-built dashboard that lets you see health and performance metrics for your environment, client members, network, runtime, cluster membership, and Envoy.

About HCP Consul

HCP Consul is a service mesh and service discovery solution provided by Hashicorp. It enables platform operators to quickly deploy a fully managed, secure-by-default service mesh, helping developers discover and securely connect any application on any runtime, including Kubernetes, Nomad, and Amazon ECS.

Note: we also have an on-host integration for HashiCorp Consul, which is a separate integration. For more on that, see our HashiCorp Consul monitoring integration docs.

Ingest Telemetry directly from Lambda using New Relic Extensions

Thu, 10 Nov 2022 00:00:00 +0000

In the past, Amazon Web Services (AWS) enabled third-party tools like New Relic to ingest AWS Lambda logs directly from Lambda. AWS has now extended this functionality to all telemetry data types, including metrics, events, and traces. This enables us to deliver enhanced observability of Lambda function execution through a new Lambda Extension.

The Lambda telemetry API is an enhancement to the logs API. It makes it simpler for the New Relic extension to receive telemetry about Lambda function invocation, such as runtime, tags, max memory, and timeout. Customers can use this API to receive telemetry streams from the Lambda service, including function and extension logs, traces, and metrics coming from the Lambda platform.

The New Relic extension subscribes to the telemetry streams directly from within the Lambda execution environment, allowing an in-depth understanding of the Lambda function and extension.

Telemetry API allows extensions to subscribe to three different telemetry streams:

Function logs: Custom logs that Lambda function code generates (stdout/stderr)
Extension logs: Lambda extension code generates custom logs to stdout and stderr
Platform telemetry: Metrics, events and traces which describe events and errors related to execution environment runtime lifecycle, extension lifecycle, and function invocations.

Telemetry API enables extensions to receive traces about the events related to Lambda execution environment lifecycle, with trace spans compatible with the OpenTelemetry format. Trace segments can be enriched by additional metadata for easier contextualization and diagnosis. Pairing this trace data with log data, you can rapidly troubleshoot performance problems, outages, and errors.

Get full observability of your clusters with Prometheus monitoring that scales as you grow.

Wed, 30 Nov 2022 00:00:00 +0000

We’ve made it easier to understand the performance of your Kubernetes clusters and cluster services with our new Prometheus solution. Now you can analyze your Kubernetes clusters using prebuilt dashboards and alerts, correlate Prometheus metrics alongside the rest of your observability data in one place, and take advantage of effortless, enterprise-grade Prometheus monitoring. So you can focus your energy on Kubernetes performance instead of building and scaling monitoring solutions.

Our Prometheus solution can be broken down into two components–the data layer and the analysis layer–and we’ve made big updates to both.

Data layer: Get a centralized, long-term data store for your Prometheus metrics.

Scale and performance: Get horizontal scaling via agent sharding using Prometheus agent mode.
Start easily: Automatically collect cluster performance metrics, and metrics from 20+ services such as Istio, CoreDNS, NGINX, Redis, etcd, Calico, and more.
Federation: Combine data from all of your Prometheus servers in one place.
Minimize local storage: Get 13 months of retention with New Relic, and dial down your local resources.

Analysis layer: Observe all your telemetry data in one place.

Unified analysis: Get one place to analyze, collaborate, and alert on all your Prometheus data, right alongside the rest of your telemetry data, so you can eliminate data silos.
Simplified analysis: Use pre-built dashboards and alerting policies to analyze your clusters and related services, eliminating manual setup.
Lightning fast: Execute queries at scale, powered by New Relic’s enterprise-grade, SaaS platform.

Get started today

Deploy New Relic’s new Prometheus agent.
Analyze cluster performance using our new dashboard.
Deploy Quickstarts with preconfigured dashboards and alerting policies for cluster services, such as NGINX, Redis, etcd, and more.

A screenshot showing cluster metrics.

First-class support now available for Pixie data

Tue, 15 Nov 2022 00:00:00 +0000

Starting today, New Relic automatically detects and exports sampled and aggregated data from Pixie for long-term retention from various technologies, including Kafka, DNS, MySQL, RabbitMQ, PostgresQL, and Redis.

If you are using Pixie with New Relic with either the Kubernetes integration v2.0.0+ or the Pixie-New Relic Plugin v1.4.2+, no need to do anything else! You should already see entities from your environment directly in your New Relic environment.

If you aren’t using Pixie with New Relic yet, get started easily by installing the Kubernetes + Pixie integration using the guided installation path.

Learn more about how to configure Pixie Ingest.

Extend data retention in-product for compliance and long-term analysis

Tue, 22 Nov 2022 00:00:00 +0000

Extending data retention and upgrading to Data Plus has become simpler

For New Relic organizations meeting certain requirements, we've made it easy to extend your data retention directly in-product, giving you the controls to decide how long you need your data for compliance or performing long-term analysis. Extended retention only costs $0.05/GB per month, giving you the ability to conduct historical analysis to get deeper insights than you could with standard retention. Learn more about data retention for specific data types.

Also included in this release is the ability to upgrade to Data Plus in-product, which includes 90 days of extended retention plus and so much more (see, that's why we call it "Plus"). Data Plus also gives you up to 3x the maximum limit on number of queries and 10x the maximum query duration, streaming and historical data export, logs obfuscation, and HIPAA and FEDRamp compliance, with more enterprise-grade capabilities coming soon.

Note that this self-serve ability is only available to some organizations.

How to get started

Extend data retention or upgrade to Data Plus from the data management hub. (Note that this feature isn't available to all organizations.)
Learn more about data retention.
If you have further questions, reach out to your account team or check out our pricing page.

Monitor your Amazon CloudFront web logs with New Relic

Mon, 21 Nov 2022 00:00:00 +0000

Amazon CloudFront helps you securely deliver content with low latency and high transfer speeds by utilizing the purpose-built and feature-rich AWS global network. By integrating your Amazon CloudFront access logs with New Relic, you can track important performance metrics including error rates, request counts, and uploaded/downloaded bytes.

The Amazon CloudFront quickstart lets you easily explore your data to resolve CDN-related issues faster in New Relic with a pre-built dashboard that visualizes CDN performance and client information.

To enable this integration, see how to connect AWS services to New Relic. There are two options for sending logs from Amazon CloudFront: standard logging (access logs), and real-time logs. Find more information for both options in our CloudFront web logs docs.

Watch this short video to learn how to send your Amazon CloudFront distribution access logs to New Relic:

Using another CDN?

We’ve also partnered with leading CDN providers Akamai, Cloudflare, and Fastly to create quickstarts that bundle integration instructions, pre-built dashboards, and alerts to help you start monitoring your CDN's performance in a matter of minutes. Learn more about how you can keep tabs on business-vital performance indicators such as load balancing, latency, availability, and other information in the context of all your telemetry data in our blog.

Enhance your dashboards with new customization features

Mon, 21 Nov 2022 00:00:00 +0000

New chart customization options

New Relic dashboards let you analyze telemetry data across your entire stack, regardless of the source. Dashboards are a flexible way for engineering teams to visualize data however they want by combining pre-made templates, native platform visualizations, custom queries, and more—all in one place.

Now there are more ways to upgrade your dashboards, including:

Markdown widget: Add rich custom content to your dashboards such as links, checklists, tables, and text formatting.
Custom colors: Highlight key information or choose a preferred color palette for each data series.
Null value options: Four options to display, transform, or remove null points.
Unit labels: Increase chart detail and clarity with custom units per series.
Override time picker: Analyze different time ranges in a single dashboard.

See it in action

Check out the video below to see an interactive demo:

See some use cases and how to make the most of the Markdown widget:

Try it yourself with the template dashboard

Import the sample dashboard to test out the new customization options.

You can explore the customization options by following the steps in this hands-on blog. It shows shows you how to import the pre-made template dashboard, describes each option, and demonstrates how to use them in your own charts.

Get precise dashboard filtering using template variables

Wed, 30 Nov 2022 00:00:00 +0000

Template variables are now available for New Relic dashboards! They are placeholders in your NRQL queries that your dashboard users can assign values to. Once a value is assigned, the relevant dashboard widget(s) update to reflect the change.

With template variables, you can:

Get all filtering controls in one place: The new variables filter bar better informs your dashboard users of values that are important to filter by, which makes it easier to understand what changes are made with each filter selection.
Get more precise results: Selecting a value for a template variable only applies to the widget(s) that include that specific variable placeholder. So, data from other widgets that are irrelevant to the filter remain visible.
Turn your dashboards into templates: Have your variables pull from a dynamic list of values that’s generated from a query. This allows your dashboard to move from one account to another without having its functionality inhibited or you redoing your widgets’ queries every time.

Please visit our blog and docs page to learn more about how template variables are used and how to get started.

Enhance optimization recommendations with new AWS Compute Optimizer integration

Mon, 28 Nov 2022 00:00:00 +0000

AWS Compute Optimizer integration

New Relic is pleased to partner with AWS to allow joint customers on our Data Plus plan to feed memory utilization data to AWS’ Compute Optimizer engine, at no additional cost. AWS Compute Optimizer recommendations made with memory utilization metrics from New Relic take into account many additional EC2 instance types and can show much greater savings potential.

AWS Compute Optimizer Recommendations

To prepare for this integration, be sure to first deploy the New Relic infrastructure agent to any EC2 instances in AWS that you want to monitor. Instructions for using AWS System Manager Distributor to easily do so can be found here.

To enable this integration, first select New Relic as your third party provider in AWS Compute Optimizer.

Third-party Metrics Selector

Once this is done, send a request for AWS Compute Optimizer to aco@newrelic.com. Include your AWS account ID(s) and New Relic account ID. Once you are notified that the integration has been enabled, it will take up to 30 hours of data flowing for the recommendations to reflect the memory utilization metrics.

AWS will always ensure no rightsizing recommendations risk harming application performance. However, without this integration their lack of memory metrics will limit the cost savings potential. Unlock the full potential of rightsizing your EC2 environment with AWS Compute Optimizer powered by New Relic memory metrics.

Observe Golang runtime for OpenTelemetry services

Tue, 06 Dec 2022 00:00:00 +0000

A new Go runtime page for services instrumented with OpenTelemetry allows you to identify service instances with unusual or unhealthy performance patterns. You can compare the key service health and Go runtime metrics over time, across any number of instances.

With this data, you can:

Determine whether garbage collection (GOGC) or memory settings should be tuned for a better fit to the actual load
Identify instances receiving an unbalanced amount of traffic
Spot slow memory leaks or goroutine leaks

The new Go runtime page is based on summaries of key metrics: response time, throughput, error rate, garbage collection time, and memory usage. You can use these key metrics to compare several service instances. You can also compare all those instances' Go runtime metrics collected by OpenTelemetry instrumentation using timeseries charts to spot problems.

The New Relic Go runtime page is available today for OpenTelemetry services instrumented with the runtime package from opentelemetry-go-contrib, version 1.4.0 or later.

Prioritize and address critical errors with new errors inbox features

Thu, 08 Dec 2022 00:00:00 +0000

You need rich, contextual data to ensure that you’re prioritizing and resolving the most mission critical errors quickly. Errors inbox has released a set of features that provide much-needed context to accelerate your error resolution workflows.

These enhancements include:

Users Impacted & Alerting: Get insights into how many users are encountering a particular error group. You can also create incremental alerts based on this metric, enabling more effective prioritization.
Traces in Context: You can now correlate traces to error instances, enabling deeper analysis within a single pane of glass.
Updated Slack functionality: We’ve updated our Slack integrations so that you can discuss and collaborate on different error groups at the entity level.

How to get started

Check out the Errors Inbox documentation
Read our blog post

We’re making it easier monitor network issues with support for GCP VPC Flow Logs

Thu, 15 Dec 2022 00:00:00 +0000

We’re expanding our network monitoring cloud flow logs integration to support Google Cloud Platform Virutal Private Cloud flow logs

We’re making it easier to understand your virtual private cloud (VPC) networks by adding support for GCP VPC flow log data. With VPC flow logs running across your GCP estates, you can quickly understand key insights for performance analytics and troubleshooting network connectivity.

Google VPC enables you to launch resources into an isolated and secure virtual network with the benefits of using GCP scaling infrastructure.

By using our network monitoring solution to monitor VPC flow logs from across your GCP environments, you can:

Monitor and alert on network traffic from within your VPC in New Relic.
Visualize network performance metrics like bytes and packets per second, as well as accepts and rejects per second across every TCP or UDP port.
Explore flow log deviations to look for unexpected changes in network volume or health.
Diagnose overly restrictive security group rules or potentially malicious traffic issues

Start monitoring your GCP Cloud Flow Logs here

How to get started

Learn more about setting up GCP VPC Flow Logs in New Relic.
Sign up today for a free New Relic account to take advantage of the 100 GB/month of data ingest, one full-platform user, and unlimited basic users offering to get started with network monitoring as part of the observability journey.

Resolve performance issues faster by communicating alongside your telemetry data.

Tue, 10 Jan 2023 00:00:00 +0000

Resolving performance issues is often a team sport, but when conversations happen in silos, your team probably lacks the context to spring into action, delaying remediation. We’ve fixed that with our new collaboration capability (now in preview). Using our collaboration features, you can resolve performance issues faster by communicating in an open and context-aware channel alongside your telemetry data.

With our two-way Slack integration, instantly share permalinks, screenshots, and comments directly from New Relic to Slack. Your teammates can reply from Slack even if they don't have access to New Relic, keeping discussions synced and eliminating repeated application switching.

Key features:

Communicate quickly using your preferred channels, across your entire organization, with our Slack integration. Collaborate with all of your teammates, including those without New Relic licenses.
Easily highlight problem areas with a built-in screenshot tool, which you can share via Slack (or email, if you prefer).
Capture institutional knowledge as you go with an archive of ongoing discussions, answered questions, and resolved issues.

How to get started

Check out our documentation
Read our blog post
See how it works in the demo video below

Introducing AsyncLocalStorage context manager for the Node.js agent

Thu, 12 Jan 2023 00:00:00 +0000

Version 9.4.0 of the New Relic Node.js agent introduced a new context manager built on top of AsyncLocalStorage. It should reduce your CPU overhead and offer a more stable use of memory while using the New Relic Node.js agent. CPU reduction will vary based on how your application is composed. Even if you are happy with your CPU overhead and memory management, it's worth opting in and providing feedback to us.

To enable this new context manager, set config.feature_flag.async_local_context = true or via environment variable NEW_RELIC_FEATURE_FLAG_ASYNC_LOCAL_CONTEXT=1. It's currently behind a feature flag, but we have plans for our next upcoming major release to make this the default context manager. Future versions of the agent will increasingly rely on the AsyncLocalStorage context manager, and eventually it will be the only context manager the agent uses.

Asynchronous context tracking is crucial for Node.js application performance monitoring and is essential for tracing application execution across event loop scheduling via timers, callbacks, and promises. As the language has evolved, so have the solutions for asynchronous context tracking. The New Relic Node.js agent predates the modern approaches to asynchronous context tracking like async hooks, AsyncResource, and AsyncLocalStorage. These changes to the agent bring it up to date with the latest standards and remove several points of overhead incurred by our earlier methods of tracking asynchronous context.

Azure Native New Relic Service now generally available

Tue, 24 Jan 2023 00:00:00 +0000

We’re announcing the availability of the Azure Native New Relic Service in the Microsoft Azure Marketplace to help accelerate cloud migration and multi-cloud initiatives. Microsoft Azure customers can now subscribe to the New Relic service to collect telemetry data for applications and infrastructure and store that telemetry data in Azure. In addition, Azure customers can allocate their multi-year committed Azure spend to leverage New Relic, making it significantly easier to allocate budget for all-in-one observability.

New Relic helps you accelerate your cloud adoption and multi-cloud journeys by providing a comprehensive view of the entire application stack, including the underlying cloud infrastructure, application code, and user experience, so you can quickly identify and troubleshoot performance issues, optimize multi-cloud resources, and ensure that your applications are running smoothly.

A note for current New Relic customers

The Azure Native New Relic Service is a self-service Data Plus offering for new New Relic accounts only. If you would like to check it out, please head over to the Azure Marketplace and sign up for a new account.

If you are interested in starting in Azure, please contact your New Relic account team. Existing New Relic accounts can sign up for a private offer after March 31st, 2023. Azure Marketplace Private offers are scheduled to be available after March 31st. Private offers allow New Relic to offer custom prices, terms, conditions, and pricing.

Store your telemetry in Azure

Your cloud choice matters. Now, with New Relic built on Azure, you can store telemetry data on your preferred cloud.

We designed a cell-based platform on Azure that leverages the New Relic service, which is also based on Azure, to meet our customers' highest demands for scalable, cloud-based performance.

With this integration, DevOps teams can get started fast with Azure integrations and agents, all from the New Relic platform. You can monitor all your workloads so you can debug, measure, and improve your entire stack.

Rapid onboarding in Azure Portal

Get to observability in under three minutes.

We’ve optimized our solution to now accelerate your Microsoft Azure observability, so you can manage the New Relic integration for Microsoft Azure directly in the Azure Portal. In addition, install infrastructure monitoring, .NET and Java APM agents, and select resources to be monitored from the Azure Portal.

Watch this Data Bytes video to learn how to onboard:

For more specific configurations, see our docs.

Install New Relic agents easily from the Azure Portal

After you’ve set up the New Relic integration, you’ll need to deploy our infrastructure and APM agents to get a fuller view of your stack, and we’ve made it easy to do so right from the Azure Portal.

Install the New Relic infrastructure monitoring agent from the Azure Portal

Install a New Relic APM agent from the Azure Portal

Pay with Azure MACC Credits

Microsoft Azure Consumption Commitment (MACC) is a commitment to spend a certain amount on Microsoft Azure services within a specific timeframe. By subscribing to the Azure Native New Relic Service through the Azure Marketplace, you can apply New Relic spend to retire your MACC.

Your New Relic billing will be consolidated with your Microsoft Azure spending and available through your Microsoft Azure account. By consolidating both bills, you can easily track and manage your Microsoft Azure and New Relic spend in one place, making it easier to budget and plan for future expenses.

Next steps

To get started with the Azure Native New Relic Service, view our New Relic listing in the Azure Marketplace. Or, you can go to the Azure Portal and search for New Relic in the Azure Marketplace. By subscribing to the service, you’ll automatically set up a New Relic organization with Data Plus.

For more about what's included with Data Plus for Azure Native New Relic subscribers, see our Data Plus docs. Note: Not all Data Plus features are available for Azure subscriptions.

We’d love for you to check out this integration and tell us what you think by providing feedback in Help > Give us feedback.

Synthetics checks pricing update

Wed, 25 Jan 2023 00:00:00 +0000

Synthetic monitoring is a suite of automated scriptable tools on the New Relic platform used to monitor websites, applications, critical business transactions, and API endpoints. If there is an error, failure, or anomaly affecting your customer-facing applications, then your synthetic check (i.e. monitor) will catch it and alert you before anyone is impacted.

Your number of free synthetic checks is based on the edition of New Relic:

Free — 500 free checks/month
Standard — 10k free checks/month
Pro — 1M free checks/month
Enterprise — 10M free checks/month

Important details

The add-on rate of $.005 per additional check is for all non-ping monitors (see documentation).
Ping monitors will be included as part of every New Relic edition at no extra cost.
To increase the number of monthly synthetics checks without the add-on rate, you can upgrade your tier to help stay within included limits.

You can use one of the queries outlined here to easily check your synthetics usage.

Note: only non-ping monitor checks will be billed based on overages. All ping monitors will continue to be included as part of your New Relic edition at no additional cost.

For more, check out our docs page where we outline the usage plan, and review your current entitlement and usage so you have an understanding of how this may impact your usage and billing upon renewal.

Gain context with change tracking, now generally available

Tue, 31 Jan 2023 00:00:00 +0000

We’re excited to announce that change tracking is now generally available to all customers! We’ve made it easy to understand how changes to your system, such as code deployments, configuration changes, and business events, impact application and service performance.

Get full stack deployment and event context with change tracking

Change tracking allows you to directly tie the performance of your software to recent changes from interfaces across New Relic. In APM, mobile, browser, service levels, alerts, and custom dashboards (and more soon), you can see how deployments and other changes relate to shifts in golden signals, errors, log attributes, incidents, and more.

You can make these insights actionable with change event details such as commit SHAs, deep links, group IDs, CI/CD metadata, timestamps, descriptions, version numbers, links to changelogs, and more. Change tracking helps you access this wealth of information and see your best next steps without losing context—simply click on a deployment marker or run a quick query.

Screenshot showing the New Relic change analysis interface

Change tracking gives you the following capabilities:

See and analyze changes and their effects in APM, browser, mobile, service levels, custom dashboards, and more.
Automatically record deployments on any part of your system using a brand new flexible GraphQL API and query deployment data alongside metrics and telemetry.
Use fresh new UIs to quickly understand the impact of changes, why they were made, who made them, and whether they are at the root of a problem.
Leverage a growing list of plugins and integrations with tools like Jenkins, GitHub, CircleCI, and JFrog to automate change tracking throughout your CI/CD processes.
Contextualize your changes with rich data and insights like deep links, commit SHAs, related entities, golden signal deltas, errors, logs, anomalies, and more.
Track performance and uptime over time with flexible before/after analysis, and compare markers head-to-head to identify best practices.

How to get started

See our docs for tips about how to designate the changes you want to monitor and how to view them in the UI.

If you don’t have a New Relic account already, sign up for free so you can discover the power of change tracking and test the new GraphQL API for yourself.

New Relic Vulnerability Management now available to all US accounts

Thu, 19 Jan 2023 00:00:00 +0000

General availability in the EU region planned for Feb 15, 2023.

Here at New Relic we know that addressing security risks is now a shared responsibility between DevOps and Security teams. To help all teams monitor and manage their enterprise telemetry data in one place, we’re excited to announce the general availability of New Relic Vulnerability Management as part of the all-in-one observability platform experience.

Development, security, and operations teams can now use one, connected experience to manage application security issues and avoid switching between siloed tools. All of this is available as part of New Relic’s radically simple and transparent consumption pricing, with a single add-on and a promotional offer to democratize observability, and security for all engineers.

See performance and security issues in one connected experience with:

Zero configuration visibility: Instant and actionable security information with continuous runtime software composition analysis (SCA) for assessment with no additional configuration.
Vulnerability testing (limited preview): Interactive application security testing (IAST) for Java is now available in a limited preview. With IAST, you can perform testing without making any code changes or interrupting normal business operations.
Open third-party integrations: Unified security view across your stack and software lifecycle with the ability to add security data through our open ecosystem of built-in quickstarts and New Relic security APIs.
Automatic risk prioritization: Library security risk evaluation across your software stack, which is correlated with the service catalog to help you understand your security posture.
Alerting on newly discovered vulnerabilities: Notifications via Slack and webhooks when new vulnerabilities are introduced in your code base.

Get started with New Relic Vulnerability Management

If you have a free account or if you are a Data Plus customer, you already have access to New Relic Vulnerability Management. If you have a standard account, you can add Vulnerability Management to your current data ingest plan as a single add-on for an additional $0.10/GB. If you purchase on or before Jan 31, 2023, you can take advantage of our limited-time promotion and lock in a 40% discount on the New Relic Vulnerability Management add-on for just an additional $0.06/GB for the remainder of your contract.

Click here to start making your applications more secure.

Analyze page performance with our Web Vitals happy path

Fri, 06 Jan 2023 00:00:00 +0000

The new Web Vitals happy path in our browser monitoring experience exposes the best and worst performing pages, providing web developers with visibility into impacted users and minimizing MTTD during outages. You can favorite pages and drill into details on the best and worst performing sites, scoped down by the web vital you want to filter by.

Your engineers can look at the pages that are getting the most throughput and traffic and prioritize fixing those first, as well as favorite them for the future. There are also updates to existing Web Vital functionality such as the Geography graphic and Device Type charts.

For example, if you know that your end user base is coming specifically from two or three regions, you can favorite those regions, so that each time you log in you can just view what you care about where most of your users are coming from.

Read more about New Relic’s browser monitoring capabilities here.

Introducing issue page synthetic monitoring tables

Fri, 24 Feb 2023 00:00:00 +0000

New Relic synthetic monitoring allows you to simulate user interactions with your website or application, and monitor its performance and availability across thousands of public and private locations to proactively detect and resolve issues.

Now, you can visualize your synthetic monitoring performance data on the Alerts and AI Issue UI page, which has adjustable tables that display success and failure results, location, time, and key metrics such as response time, error rate, and availability. You can use these tables to quickly identify issues and take corrective action by customizing them to show the data that's most important to you, and setting up alerts to notify you when performance or availability thresholds are exceeded.

Watch the video below to see an overview of the synthetic monitoring table feature in the issue page:

To learn more about how to implement synthetic monitoring and use these tables to monitor and maintain the health of your website or application, read our synthetic monitor benefits page and our comprehensive docs on the issue page.

As of February 02, 2023 New Relic requires TLS 1.2

Thu, 02 Feb 2023 00:00:00 +0000

Here at New Relic, security is our priority. This is why, effective February 2, 2023, we have updated our Transport Layer Security (TLS) requirements for all inbound connections to a minimum of version TLS 1.2.

For more information check out our this Explorer’s Hub post, go to our documentation, or contact New Relic Support.

Expanded alert capabilities for service level management

Thu, 23 Feb 2023 00:00:00 +0000

Now you can automatically determine alert thresholds and set up alerts for error budgets and fast burn rates! Service level management is a way for you to determine service boundaries and track your most critical applications and services in one place.

If you’re unfamiliar with alerting on error budgets and burn rates, check out the documentation to learn more.

How this helps you:

You can automatically determine alert thresholds for SLIs and SLOs.
Set pre-configured alerts for fast burn rates, error budgets, and SLI attainment based on Google’s SRE book recommendations.
Connect service levels to alert workflows quickly with just a few clicks.
Roll up multiple service levels into a workload to track the health status of multiple entities all together.
Use the high-level period-over-period view in the service levels UI for managers to understand the reliability of your systems over time.

How to get started:

Log into New Relic and click on All Capabilities at the top of the left-hand navigation menu.
Click on the Service Levels item on this page to access the interface.
On the service levels page, you’ll see existing service levels and can set up new ones.
Once you’ve set your SLOs, click into a service level to access the details interface.
In the upper-right corner of the details interface, click the Alert button and follow the guided setup to configure an alert for that SLO.
Read our service level alerting documentation for further guidance around best practices for SLI and SLO alerts.

You can learn more about these capabilities and how you can implement service level management by reading our service level management documentation and by checking out the use case implementation guide.

More flexibility when partitioning logs

Wed, 15 Feb 2023 00:00:00 +0000

If your systems generate a massive amount of logs, then you probably already know and love the data partitioning capability in our logging product. This feature gives you control over retention and query times by setting up simple rules to segment ingested logs by any available attribute.

Our latest improvements have made it even easier to create log data partitions to give you exactly what you want. Now, rules can be specified using a simple NRQL WHERE clause when creating or modifying log data partitions.

Nothing will change about your current data partitions, but now you can see and adjust the criteria being used as a partition filter for more fine-tuned results.

For more information, see our log partition docs.

Monitor and debug your business critical transactions quickly using key transactions

Mon, 13 Feb 2023 00:00:00 +0000

Key transactions help you track the most important business transactions that you want to monitor and manage regardless of the overall application throughput. To make key transactions more powerful, we have now made them a part of New Relic’s entity ecosystem. Now you can visualize key transactions in the context of all the other related entities to quickly isolate and troubleshoot issues. Also, key transactions don’t add additional data so there is no billing impact. Here are a few ways you can use the power of New Relic’s all-in-one observability platform to monitor your business critical transactions:

View your key transactions across all accounts in one place under the entity listing.
View key transactions along with their related services and entities by adding your key transactions to workloads.
Alert on unusual behavior in key transactions using baseline/anomaly alerting and add them to dashboards.
Track changes in your application codebase that impact your business critical transactions using change tracking.
Ensure your key transactions are delivering on your business agreements by defining service levels.

Stay ahead of critical issues with the New Relic mobile app

Tue, 14 Feb 2023 00:00:00 +0000

If you’re an engineer who’s on-call, you play a crucial role in maintaining system performance and responding to incidents before your customers are affected. But what if you’re not at your workstation or it’s just an inconvenient time? Enter the New Relic mobile app—your solution to stay connected and on top of your system health, no matter where you are.

With our mobile app, you’ll be able to ensure that your systems are running smoothly and quickly identify and triage issues that arise. Access your data and alerts in real-time, reducing mean time to detection (MTTD) and mean time to resolution (MTTR) by proactively responding to incidents and collaborating with your team for swift remediation.

Key features:

On-the-go access: Monitor the health of your systems and applications, even when you’re away from your desk.
Push notifications: Avoid downtime by responding quickly to critical incidents with instant alerts.
Simplified interface: Analyze your system performance with ease using the app’s simple and intuitive interface.

How to get started

Check out the latest in language versions and frameworks support

Tue, 21 Feb 2023 00:00:00 +0000

New Relic application performance monitoring (APM) provides the flexibility to monitor any part of your application. This is made possible through the power of New Relic agents, which collect your telemetry data and send it to New Relic. These agents are constantly updated to support new frameworks and language versions as they emerge. Check out the latest in language version and framework support for various agents below:

Introducing device emulation for New Relic synthetic monitoring

Tue, 28 Feb 2023 00:00:00 +0000

As of February 28, 2023, New Relic Synthetics supports device emulation in simple and scripted browser monitors–so users can simulate mobile and tablet users, allowing engineers to spend less time manually testing their applications on multiple devices and more time proactively resolving issues before they affect customers.

As a natural extension of our best-in-class synthetics monitoring, this new feature saves time and reduces the risk of missed issues, resulting in a more efficient development process and an improved user experience for mobile and tablet users.

Synthetics Device Emulation allows users to: ◦ Proactively improve performance and reliability of your web applications by monitoring discrepancies in uptime across mobile, tablet, and desktop device types, all in one place. ◦ Reduce screen swivel, cost, and testing time by simulating mobile and tablet UX in pre-prod to solve issues before it affects your customers and your bottom line.

Check out our docs to learn more or get started here!

Enhance visibility of internet performance for your applications with new Amazon CloudWatch Internet Monitor integration

Tue, 28 Feb 2023 00:00:00 +0000

Amazon CloudWatch Internet Monitor integration

New Relic is pleased to partner with AWS to allow joint customers send their CloudWatch Internet Monitor data to New Relic.

Doing so, customers have an opportunity of continuous observability of internet measurements, such as availability and performance, tailored to their workload footprint on AWS.

Also it can be done without modifying application code, and without impacting the performance of workloads.

To prepare for this integration, be sure to link your Amazon and New Relic account either via streaming (recommended) or via polling methods.

For the recommended streaming approach, an Amazon Kinesis Delivery stream and CloudWatch Metric Stream should be set on your Amazon account. If "Metrics being streamed" aren't set to "All namespaces" in your CloudWatch Metric Stream, make sure "InternetMonitor" is selected.

Once the integration has been enabled, wait for some time then look for your data in one.newrelic.com > Metrics and events, and then filter by aws.internetmonitor.

Access distributed traces in context of errors inbox, APM errors, and logs

Tue, 28 Feb 2023 00:00:00 +0000

Distributed tracing already provides a powerful view of requests across your entire system. Now with traces in context, you will automatically get relevant information for related traces in errors inbox, APM errors, and logs. With this new capability, you can deep dive into a trace in one click without losing context to understand system complexity and performance with less toil.

Get started

To start using traces in context, deploy or update to the latest APM, browser, and mobile agents to each service involved in the call path you're interested in. Traces in context will be immediately available upon upgrading.

Here are some examples of how you can view traces in context:

Errors inbox

View distributed traces in the occurrences tab of errors inbox

APM errors page

View distributed traces in the error group in the APM errors page

APM log details page

View distributed traces in the log details panel

Learn more

Review the distributed tracing documentation and read our blog post.

CodeStream code-level metrics now available for all APM agents including Java, Go, PHP & Node.js

Thu, 09 Mar 2023 00:00:00 +0000

Calling all Java, Go, PHP & Node.js engineers! You can now easily view key telemetry data such as error rate and response time from the service level, all the way down to the method level, empowering you to take a more proactive approach to your development workflows. CodeStream’s latest features empower you to get ahead of issues before they hit production and accelerate your development cycles resulting in reduced costs & time savings.

Updating your agents lets you access the following features:

Code-level metrics, or informed development, which allows you to see telemetry data like response time and error rate all the way down to the method level and identify which function in your codebase is causing issues. Code-level metrics will also be shown inside your IDE diffs for both pull requests and feedback requests, ensuring a data-driven code review process for any code that you push into production.
Service-level telemetry, which surfaces the telemetry data for the services associated with the repo you have open in your IDE. With just a click you can also see the metrics for any service that calls, or is called by, your service.

How to get started

Install the New Relic CodeStream IDE Extension and sign up for CodeStream.
Check out the requirements for code-level metrics.
Update and configure your Java, Go, PHP, and Node.js agents.
Read the blog post for more information.
Go through the demo walkthrough

We now support cumulative metrics from OpenTelemetry and Prometheus

Tue, 25 Apr 2023 00:00:00 +0000

Get more insights into your Prometheus and OpenTelemetry data faster with cumulative metrics. Query and analyze your cumulative and delta values within a single platform without the need for any client-side configuration.

Cumulative counters are now stored as a New Relic cumulativeCount metric data type. For examples of querying OpenTelemetry cumulative metrics, see our OpenTelemetry best practices.

With this update, you can:

Get more insight into your data by easily and efficiently querying both the cumulative and delta values.
Eliminate the need for client-side configuration to convert cumulative values to delta values before sending data to New Relic, saving valuable time and effort.

Next steps

Read our cumulative metrics docs.
If you currently are using monotonic cumulative sum metrics in your queries or alerts, see the Transition guide.
Get started with OpenTelemetry or Prometheus with New Relic.

Monitor your JFrog Artifactory and JFrog Xray in New Relic

Wed, 15 Mar 2023 00:00:00 +0000

Get real-time insights of your software supply chain in minutes

We've partnered with JFrog to provide DevOps, DevSecOps, and engineer teams full visibility and actionable insights into the performance and security of their software supply chains.

The new quickstart integration lets you monitor your JFrog Artifactory and JFrog Xray environments to help fine-tune your DevOps pipelines and ensure faster, seamless software releases. This integration is available for all New Relic full platform users and free for all tiers of self-hosted JFrog customers.

Benefits

Faster and more secure software delivery. Monitor all your JFrog applications, artifacts, and dependencies in real time with pre-built dashboards to correlate performance alongside the rest of your telemetry data in a unified view.
Better compliance and security. Identify urgent vulnerabilities, identify malicious users, and allow your teams to deploy fixes faster to deliver more secure software with less toil.
Improved software supply chain performance. Gain insights into the various stages of the software delivery pipeline, such as build, test, and deployment, to proactively manage performance degradation and remediate issues and boost release velocity and quality.

The JFrog Artifactory dashboard helps you track performance and usage of your artifactory services and lets you audit users who access your instances. You can also directly view real time logs and entities in New Relic.

Uncover and mitigate vulnerabilities with the JFrog XRay dashboard.

Get started

To start monitoring JFrog in New Relic:

Read the blog to see how to make the most of the integration
Follow the documentation to set up the integration with Fluentd and OpenMetrics
Install the quickstart to get the pre-built dashboards
Watch the video below for a walkthrough demo

Add a spatial dimension to logs with locations from IP addresses

Wed, 29 Mar 2023 00:00:00 +0000

Everything on the internet has an address, and these addresses often end up in your logs. New Relic can now take these IP addresses, locate them in the world, and add related geographic information to your log events, making it possible to use attributes like city, countryCode, and postalCode when querying logs.

Create or update your parsing rules to get started slicing and dicing logs by their geography with this new functionality.

For more information, see our log parsing docs.

New Relic launches support for Amazon Linux 2023

Thu, 16 Mar 2023 00:00:00 +0000

New Relic support for Amazon Linux 2023 is generally available today

Amazon Web Services (AWS) recently released Amazon Linux 2023 (AL2023), which is available to use with Amazon Elastic Compute Cloud (Amazon EC2), and today we're announcing support for this new modern distribution of Linux so that you can confidently monitor your applications and infrastructure just as you've done with Amazon Linux 2. Based on Fedora, AL2023 integrates with the latest AWS features, and New Relic's agents support them. In fact, the entire New Relic platform supports AL2023, including Graviton architectures, so there are no gaps for you to worry about.

When using AL2023, you can be confident that the New Relic platform offers a seamless experience to help you monitor so you can improve application and infrastructure performance. Speed up your troubleshooting workflows by incorporating Amazon EC2 service and instance metrics into your full-stack observability with New Relic.

If you're a new or existing New Relic customer monitoring AWS workloads on Amazon EC2 and want to take advantage of the updated AL2023 distribution, start by deploying the infrastructure monitoring agent and then integrate your New Account to AWS.

Guided install

Use the Guided install to install a New Relic agent with a single command to start monitoring your infrastructure and log data in real-time.

The New Relic guided install offers an enhanced instrumentation experience providing agent installation and incorporating alerts, dashboards, and logs in context.

Installing the infrastructure agent with +Integrations & Agents and using the Guided install from within the New Relic platform is the fastest way to start monitoring your instances.

Amazon Linux 2023 instance instrumented with the New Relic infrastructure monitoring agent.

Next Steps

If you haven't already integrated your New Relic account with AWS, use guided install to deploy the recommended Amazon CloudWatch Metric Streams integration. Integrating with AWS will stream Amazon CloudWatch telemetry data to your New Relic account and enhance your full-stack observability. This integration allows you to correlate the AWS services you use with your cloud-based infrastructure and applications and your end-user experience.

Next, make sure to run the Amazon EC2 quickstart to add an Amazon EC2 dashboard and High CPU Utilization alert.

One last item Attention Amazon Linux 1 users. If you are using AL1, please update to Amazon Linux 2 or 2023, as AWS ended standard support on December 31st, 2020.

Search across all attributes in Logs

Wed, 22 Mar 2023 00:00:00 +0000

Previously, when you ran a plain text query for logs, the search would be confined to the "message" attribute. But what if the text you're searching for is in another attribute? Or what if you want to see results where your query is in any attribute? With the latest update to the Logs UI, searching across all attributes is the default mode for plain text queries. Now you can find the logs you're looking for faster and easier than ever.

Windows Services integration is now GA

Tue, 28 Mar 2023 00:00:00 +0000

The New Relic Windows Services integration is now GA

We’re excited to announce the general availability of our Windows Services integration. Customers with a subscription to New Relic can now pull data from their Windows services directly into New Relic without installing any third-party software.

Windows Services are core components of the Microsoft Windows operating system and enable the creation and management of long-running processes.

This integration allows you to track key metrics and gain critical insights into how your services in Windows are performing.

Windows Services dashboard showing service count and status state

Key benefits

Check all your Windows services, their state (running, stopped, etc.), start mode (auto, manual, etc.), and other service metadata thanks to the New Relic Explorer or our NRQL engine.
See which hosts are running specific Windows services.
Set alerts based on any Windows services that you are monitoring using New Relic.

Next Steps

Install the new quickstart or create your own dashboards to track your Windows services. Check out the Windows Services documentation for more information about this integration.

Query & alert on custom infrastructure attributes and tags

Mon, 27 Mar 2023 00:00:00 +0000

Infrastructure is complicated. Thousands of components spread all over the cloud and the world, ephemeral in nature, all with different purposes–how do you keep track of them? New Relic infrastructure monitoring offers users the ability to create custom attributes in the agent configuration file and custom tags in the New Relic UI to make the organization of your mission-critical systems as flexible as you need it to be. The New Relic infrastructure team is excited to announce new enhancements to how our users can interact with their tags:

Query your custom infrastructure tags: In your NRQL queries, use where and facet to isolate entities how you want them to be isolated.
Alert on the tag’s values: React to important events sooner, with your chosen context in mind.
Create dashboards to track those values: Customize your dashboards to provide more value by including telemetry data based on your custom attributes and tags.

Whether you use your infrastructure tags to designate responsible teams, reflect cost centers, or you just like naming things, you’ll have a more comprehensive snapshot of your systems.

How to create & query custom attributes and tags

By adding the following code snippet containing custom attributes to your newrelic-infra.yml file...

Adding custom attributes to the YML file.

...you’ll be able to query them using their names.

Querying for custom attributes using SystemSample.

Create tags in the UI

Here's an example of how to create and query tags in the UI:

Add a businessRegion: emea tag to the docker-desktop host.
Add a businessDepartment: finance tag to the docker-desktop host.
Query them with a tags. prefix:
Query these newly created custom attributes and UI tags all together like this:

To get started, use the documentation link here.

Monitor the health of your AlloyDB databases and instances with New Relic

Wed, 29 Mar 2023 00:00:00 +0000

New Relic has integrated with Google Cloud’s AlloyDB to provide continuous insights on the health and performance of AlloyDB services. Today we are further announcing that we successfully achieved the Google Cloud Ready - AlloyDB designation.

AlloyDB is a fully managed PostgreSQL-compatible database service that is 4x faster than standard postres SQL for transactional workloads. It offers high availability and fast real time business insights without impacting performance. New Relic provides a unified view of your database and server activities and state based on actual data. The integration allows you to pinpoint issues at a glance and get critical visibility into what’s happening with your instance, database, and applications that depend on it. You can baseline your CPU and memory consumption, disk space consumption, database connections, and IOPS metrics to create automated alerts based on predefined thresholds.

Metrics for Google Cloud's AlloyDB displayed in New Relic

Monitor Google BigQuery with New Relic

Wed, 29 Mar 2023 00:00:00 +0000

New Relic has integrated with Google Cloud Platform’s (GCP) BigQuery to provide continuous insights on the health and performance of BigQuery services. By integrating your BigQuery data with New Relic, you can ingest and visualize service metrics to troubleshoot performance issues or optimize your costs.

BigQuery provides the ability to allocate computing capacity across your organization's workloads, teams, or departments using the concept of reservations to designate slots for groups of GCP projects. As a designated Google Cloud Ready - BigQuery integration, New Relic provides real-time observability for your Google BigQuery telemetry data such as:

Query optimization

For each reservation, you can see the number of slots allocated for your different workloads and job types, as well as slots allocated for queries within the project. By monitoring query counts and execution times, you can quickly determine if the demand for jobs is higher than the allocated amount for the reservation; for instance, if one job ran slower and used significantly fewer slots than the other, this could mean it had more limited access to resources because it was competing against other active jobs.

Cost optimization

Optimize your costs by evaluating your slot utilization via table metrics. Determine if slots are efficiently allocated, whether too many are underutilized, or whether you are too close to full utilization — which could result in poor performance if usage spikes. You can also view the number of billed bytes, allowing you to prioritize executions in order to reduce the amount of resources required.

Next steps

To begin exploring how to instrument Google BigQuery with New Relic see our integration doc and quickstart.

Azure private offers are now available

Fri, 31 Mar 2023 00:00:00 +0000

Azure private offers are now available

Private offers in the Azure Marketplace are now available, providing custom pricing, terms, and conditions to our customers.

New and existing New Relic customers can now subscribe to private offers in the Azure Marketplace. Telemetry data will be stored in Azure, and 100% of your New Relic spend decrements your Microsoft Azure Consumption Commitment (MACC).

If you switch to private offers, you can still monitor all of your on-premises and cloud-based workloads to debug, measure, and improve your entire stack. Your New Relic experience will remain the same.

Additional Benefits include

Longer queries
Extended retention
Data export
Logs obfuscation
Vulnerability management

New Relic private offers listing in the Azure Marketplace

Store your telemetry in Azure

Your cloud choice matters. With New Relic built on Azure, store telemetry data on your preferred cloud. We designed a cell-based platform on Azure that leverages the New Relic service, also based on Azure, to meet our customers' highest demands for scalable, cloud-based performance.

Pay with Azure MACC Credits

MACC is a commitment to spend a certain amount on Microsoft Azure services within a specific timeframe. By subscribing to private offers through the Azure Marketplace, you can apply 100% of your New Relic spend to retire your MACC.

Next steps

If you are interested in private offers, contact your New Relic account team. You can view the New Relic Azure private offers in the Azure Marketplace.

See the Data Plus documentation page for more information about what’s included with Data Plus for subscribers of private offers. Note: Not all Data Plus features are available for Azure subscriptions.

Real-time profiling for Java dynamically enabled

Thu, 30 Mar 2023 00:00:00 +0000

Our real-time profiling using Java Flight Recorder (JFR) is a powerful tool to continuously profile Java applications and JVM in production environments. And now, the Java agent allows you to change the real-time profiling configuration without turning your application on or off.

Real-time profiling offers visibility into how resources are allocated in a process, how CPU is used, and garbage collection impact on performance per JVM — every five minutes! This especially comes in handy while troubleshooting; allowing you to pinpoint what caused an incident, and the performance issues resulting from it.

On top of JVM behaviour, it also shows call trees, CPU time, and memory resources consumed by your classes and methods. This enables you to easily see what methods are used most in your application and the resources they require, so that you can optimize when and where required.

Using Java agent release 8.0.0 or above, you can seamlessly change your profiling configuration by toggling the setting in Settings > Application > Java Flight Recorder, or by changing the configuration yaml:

Application > Java Flight Recorder or by changing the configuration yaml." title="A screenshot showing real time profiling toggle in Application settings" srcset="">

To enable or disable the real-time profiling feature navigate to Settings > Application and click on the Java Flight recorder toggle.

Monitor OpenAI’s GPT Application Usage in New Relic

Wed, 15 Mar 2023 00:00:00 +0000

If you're already using, or plan to use, OpenAI's GPT-3, GPT-3.5, or GPT-4 at scale, it's important to monitor metrics like average request time, total requests, and total cost. Doing so can help you ensure that OpenAI services like ChatGPT are working as expected, especially when those services are required for important functions like customer service and support.

Companies around the world are embracing GPT to power help desk tickets and live chat logs, develop content and images, and accelerate semantic searches. New Relic monitoring for OpenAI is fast, easy to use, and unlocks real-time metrics that can help engineering teams optimize usage, reduce costs, and achieve better results.

New Relic integrates with OpenAI, GPT-3, and beyond to provide the following benefits:

Get started for free: Our out-of-the-box GPT monitoring solution is the first of its kind, and included at no additional cost to all New Relic full platform users.
Easy installation: With just two lines of code, users can import the monitor module from the nr_openai_monitor library and automatically generate a dashboard that displays a variety of key GPT performance metrics.
Monitor cost: Usage of OpenAI’s Davinci model costs $0.12 per 1000 tokens, which can add up quickly and make it difficult to operate at scale. New Relic provides engineering teams with real-time cost tracking of their GPT usage.
Optimize performance: New Relic gives engineering teams insight into the average response time and other key performance metrics around GPT requests, allowing engineers to optimize usage and ensure the best possible response times.
Analyze prompts and responses: New Relic provides valuable information about the usage, speed, and effectiveness of GPT to help engineering teams achieve better results from their ML models.

How to get started

With just two lines of code, simply import the monitor module from the nr_openai_monitor library and automatically generate a dashboard that displays a variety of key GPT-3 and GPT-3.5 performance metrics, such as cost, requests, average response time, and average tokens per request.

To get started, simply install the OpenAI Observability quickstart from New Relic I/O or visit our library repo for further instructions on how to integrate New Relic with your OpenAI apps and deploy the custom dashboard.

If you don’t have a New Relic account already, sign up for a free New Relic account today. Your free account includes 100 GB/month of free data ingest, one free full-access user, and unlimited free basic users.

Find the right dashboard with the popular pre-built dashboards section

Wed, 22 Mar 2023 00:00:00 +0000

Getting instant observability with our quickstart dashboards has never been easier. With the new Popular pre-built dashboards section, you can now easily discover and conveniently install any of our pre-built dashboards directly from our platform’s dashboards UI. All in all, this creates a more cohesive dashboard experience where you can find your custom and pre-built dashboards all in one place.

Whether it’s for a single component or your entire stack, you can start visualizing your telemetry data without needing a custom dashboard. This lets you reallocate the time and resources that would have been spent on defining the audience and objectives, selecting the appropriate chart types, and building the custom dashboard.

How it works

The Popular pre-built dashboards section features dashboards that were chosen based on high user interest and activity.

Clicking on a dashboard brings you to a guided installation process with the requirement details and a link to the code repository on the right side.

After completing the necessary steps, simply click View dashboard at the bottom right to start visualizing your data.

To access the rest of our quickstarts library, click on View all from the Popular pre-built dashboards section.

If you don’t have a New Relic account already, sign up for a free New Relic account and start using quickstart dashboards today. Your free account includes 100 GB/month of free data ingest, one free full-access user, and unlimited free basic users.

New K8s dashboard: Understand how cluster resources impact workloads

Wed, 29 Mar 2023 00:00:00 +0000

We’ve made it easier to understand the performance of your Kubernetes clusters and workloads with the new Overview dashboard (and an updated Events dashboard too!), so you can understand how the health of your cluster resources impact your workloads. And there’s nothing for you to do: Both dashboards are already available to you directly in the Kubernetes UI.

The Overview dashboard and Events dashboard provide the following:

Quickly see Kubernetes cluster resource utilization, such as CPU and memory, and drill into specific nodes to correlate application state with the underlying infrastructure.
Assess cluster health, analyze container restarts and warning events, and identify issues easily in a single, customizable dashboard.
Debug faster by correlating infrastructure metrics, events, logs, and application performance monitoring information in one place.

Questions you can ask

Are there any pods that are pending or failed?
Which Daemonsets, Deployments, Statefulsets, HPAs, or other Kubernetes resources are unhealthy?
Are all nodes ready and able to host pods?
How many pods, containers, nodes, or other Kubernetes resources are in the cluster?
When did a spike in Kubernetes warning events occur?
When did one or more pods enter a pending state?
Are there any pods unable to be scheduled to a node?
Can my nodes host additional pods?

Get started today

Log into New Relic, and on the left nav select Kubernetes.
Choose the cluster you’d like to analyze.
By default, you’ll arrive in the Kubernetes cluster explorer ‘view.’ Towards the top of the page, select either the Overview NEW or Events links.

A screenshot showing the Kubernetes Overview dashboard.

Streamline alert configuration and management

Thu, 06 Apr 2023 00:00:00 +0000

We’re releasing a number of capabilities that simplify alert management, making setup faster and easier than ever and ensuring coverage without noise.

Capabilities simplifying alert management:

Faster setup for creating alerts
Guided point-and-click alert configuration flow
Recommended alert configurations to eliminate gaps
Delayed signal evaluation for noisy environments
Extended alert incident evaluation thresholds (2 hours > 24 hours)
Workflows are now taggable entities
New issues notifications log with critical workflow details
Alert condition creation and management with Terraform

Deep dive into each capability:

Faster setup for creating alerts

We’ve simplified our alert condition creation setup flow and are giving you more guidance while you determine alert thresholds and notification policies. We have broken the form into several steps so that you don’t have to wrangle a long, complex NRQL condition form. This change presents related settings together on the same page where you can follow the guided flow while we track the steps you’ve completed. Watch the latest Data Byte episode to learn how to use this new setup flow.

Guided point-and-click alert configuration flow

The dropdown options provided in the new UI make it as simple as selecting the type of signal, the entity type, and the specific services that you’d like to configure an alert for. From there, you simply match these alert configurations in the same flow to your workflow and destination policies. These changes make it easier to create NRQL alert conditions, especially if you’re unfamiliar with constructing NRQL queries.

Recommended alert configurations to eliminate gaps

Alert coverage gaps will highlight areas in your stack where you're missing coverage and recommend alert configurations for those services. In New Relic, under the Alerts and AI capabilities, we've created a dedicated interface where you can see all of your uncovered entities, allowing you to assess alert coverage your team may be lacking and address any areas of concern.

Delayed signal evaluation for noisy environments

When alerting on autoscale environments, alerts are configured to start watching new signals automatically as soon as they appear. However, since new signals are often atypical or erratic at first, they quite often trigger false alarms. Now, when creating a NRQL-based alert condition, you can specify how long to wait before we start evaluating a new signal that is covered by that alert.

Extended alert incident evaluation thresholds (2 hours > 24 hours)

New Relic now allows alert evaluation periods to support the aggregation of up to 24 hours of data, up from 2 hours previously. This gives you more flexibility in alert conditions and furthers the accuracy of alert thresholds to help you limit noisy redundant alerts and ensure coverage across critical services.

Workflows are now taggable entities

Workflows can now be tagged and are processed as their own events in NRDB. Workflows become entities and tags can be applied to these workflows so they can be used for reporting, relationships, custom dashboards, and more. Processing workflows as entities with tags is important so you can glean insights from workflows and alert operations to improve the way you send out, process, and respond to alert notifications over time.

New issues notifications log with critical workflow details

Until now, the issues notifications log did not include critical details relevant to workflows such as the workflow name, the trigger event of the workflows, and the issue that triggered. The new solution provides end-to-end visibility, from the moment the issue event triggered a workflow to the notification evidence in third-party apps. The log contains the following information: Time, Status, Destination, Issue Name, Trigger event, Workflow, Error details, and Notification result.

Alert condition creation and management with Terraform

We’ve made enhancements to the alert configuration flow to make it easier to use Terraform directly in New Relic. The Terraform script generator provides a button in your NRQL alert condition edit screen that will let you see an alert condition, as currently configured in the UI, as it would appear in a Terraform script.

To dive into more of these improvements, check out the Data Byte video or read more about the benefits of the new alert condition creation flow in our documentation.

NRQL queries now support comments

Wed, 12 Apr 2023 00:00:00 +0000

Comments can now be used in NRQL queries to easily add context to a complex query, comment out a line temporarily, or just explain the events or attributes being queried in NRDB.

Both single and multi-line comments can be added to NRQL queries. Single-line comments start with -- or //, after which everything will be ignored up to the end of the line. Multi-line comments are enclosed within /* and */ and everything in between will be ignored:

Read more in our NRQL Reference to get started.

Connect error analysis and triage workflow with the redesigned errors experience

Thu, 13 Apr 2023 00:00:00 +0000

We've designed the new errors experience to seamlessly connect your error analysis and triage workflow so you can resolve errors faster before they severely affect your customers. With this new experience, you will get:

Data filtering and discovery capabilities for comprehensive data analysis: Slice and dice your data to conduct a more thorough analysis of errors that occur. Updates include:
- Ability to filter by attributes
- Error group summaries at the dynamic group level
- Visibility into attributes for any dynamic error group via Profiles
Error details in context to reduce mental load & context switching: Get insight into filters applied for a particular error occurrence, as well as previous grouped-by selections at the detailed view to eliminate the need for context-switching.
Seamless transition from analysis to triage to act on errors with confidence and speed: Access triage capabilities within a single screen to reduce time needed to detect, analyze and triage error occurrences. This feature now connects each individual error occurrence to the error group that it belongs to.

How to get started

Check out our documentation
Watch our demo walkthrough

Take your monitoring to the next level with the APM recommendations center

Tue, 18 Apr 2023 00:00:00 +0000

The APM recommendations center pinpoints key monitoring and capability gaps so you can achieve end-to-end visibility of your entire stack and proactively address issues. With the APM recommendations center you can :

Quickly identify monitoring gaps and get insights into your instrumentation, configuration, coverage, and maintenance areas to ensure the right visibility across your stack.
Discover the right tools for your environment by getting recommendations for comprehensive monitoring capabilities like alerting, change tracking, and more tailored for your environment. Ensure everything is up-to-date with automatic notifications when a new agent is available to ensure that their stack is fully covered.

How to get started

Check out our documentation

Create GitHub Actions Deployment Protection Rules with New Relic AIOps

Thu, 20 Apr 2023 00:00:00 +0000

We've partnered with GitHub to make it easier to set up rigorous control mechanisms that ensure only high-quality thoroughly tested code reaches production. With the New Relic Gate App for GitHub Actions Deployment Protection Rules, you can now use New Relic's anomaly detection to automatically intercept and validate deployment requests. This lets you prevent issues earlier in the release cycle so you can reduce alarming on higher level environments and build better software.

Boost your release cycles with the power of observability

Previously, developers using GitHub for change management could only use the built-in environment protection rules to require a manual approval, delay a job, or restrict the environment to certain branches.

Now, you can create and implement custom protection rules configured within deployment workflows to safely promote deployments to your downstream environments. Thanks to the power of New Relic AIOps and applied intelligence, that means anything you can query can be used as criteria for deployment protection rules.

Benefits

With this integration, you can connect software performance and environment health analysis to actual deployment criteria, allowing you to:

Protect downstream environments from potential issues. Connect New Relic signals with your deployment gates to prevent hazards and issues from being deployed downstream.
Gain flexible control with New Relic AIOps. Whether it's errors, performance changes, or anomalies, anything you monitor can become a deployment gate.
Catch issues earlier in the release cycle. Shift left and prevent issues before they make it to production.

Example policies you can create

New Relic lets you create alert conditions on just about anything you collect data on. Some examples of policies you may want to leverage as gates deployment gates include:

Error count (5xx, 4xx)
Latency
Downstream dependencies failing
Anomalies detected
Missing data points
Change in throughput over time

Getting started:

Install the New Relic Gates app in GitHub
- Go to https://github.com/apps/new-relic-gate and click install
Define gate criteria
- Create an issue in New Relic, which will act as the desired deployment gate
- Copy Policy ID
Connect New Relic policies and issues to GitHub
- Create an API key with access to query New Relic Policies & Issues.
Configure your repository’s environment to use the gate
- Specify the Region, Policy ID, and Account ID
- Update environment to use the New Relic Gate.
Run the gate
- The first run of the gate will fail, and it will ask you to insert your New Relic API Key.
- Run the CURL command in the response and insert your API keys.
- The next deployment should succeed.

To use the New Relic Gate, you need to enable it in your GitHub repository environment. Select your repository settings, select environment, then check the box next to New Relic Gate.

Create an alert policy in New Relic, which will act as the desired deployment gate.

View the results of the New Relic gate on the GitHub Actions page, under Deployment protection rules.

Updates to improve your experience with Lookout

Thu, 20 Apr 2023 00:00:00 +0000

We’ve built a new visualization for Lookout to help you identify anomalous system behavior more quickly. The main interface has been simplified and expanded by offering you more options to filter, sort, and focus on entities that matter.

New features

We’ve added seven new features to improve Lookout’s usability and have made backend changes to improve overall performance. The following features can be used together for more control of your environment and the visualization best suited for you:

Slider filtering: You can filter out anomalies of a certain deviation rate with a simple slider bar.
Non-reporting toggle: With a one-click toggle, you can remove all entities from the view that are not currently deviant.
Square view: An aesthetic change for people that like square entity visualizations over circular bubble ones.
Signal expansion: You can zoom in on a signal to consume the full width of available browser space for a more focused view when troubleshooting.
Entity size control: You can decrease or increase the size of entities based on their own visibility preferences.
Entity count: You can see the total count of currently viewed entities against the total amount of entities in the view.
Visualization explanation: You can hover the info icon next to the signal title to understand how this visualization works.

The new flexibility and simplified visualization gives you more autonomy and helps you quickly identify problems and fix issues. Alongside these enhancements, the new visualization options include a List view toggle.

Get started with the new Lookout experience

Read the docs to get acquainted with Lookout.
Log in to New Relic.
Select All Entities in the left-hand nav menu.
In the upper right corner, select the Lookout view to access the interface.
From here, explore the new visualization and filtration options, making it easier to detect anomalous behavior across your entire stack.

New Relic mobile app now supports dashboard template variables

Thu, 20 Apr 2023 00:00:00 +0000

Gain faster access to vital data insights on-the-go with support for dashboard template variables in the New Relic mobile app. This update allows you to filter and analyze critical information, enabling you to quickly triage problems, improve mean time to resolution (MTTR), and minimize downtime—directly from your mobile device.

With template variables on mobile, you can:

Quickly identify and resolve incidents on-the-go with pinpoint accuracy, drilling down to specific regions, app versions, and other granular details.
Share important insights with ease by generating links from your mobile device that carry over your custom filters.
Focus on what matters most by quickly filtering and visualizing the most relevant and impactful data.

Next steps

Check out our documentation and databyte video.

New Relic supports AWS Verified Access

Fri, 28 Apr 2023 00:00:00 +0000

Amazon Web Services (AWS) now offers a simple, secure way to connect to your corporate applications through a web browser. Currently, IT teams rely on VPN policies, identity based policies, and device based policies to validate access. This requires multiple teams to ensure secure access is maintained at all times. To reduce this overhead burden, AWS has launched AWS Verified Access which provides zero trust connectivity and zero trust network access, allowing you to work from anywhere and by-passing the need to rely on VPN for access to your corporate applications.

With this integration, verified access logs are sent to New Relic so that every access request, whether allowed or denied can be displayed on a unified dashboard, which customers can use for troubleshooting, auditability, compliance, or to investigate security incidents.

AWS Verified Access logs displayed in New Relic

We're making it easier to bring in data with new network monitoring installation methods

Wed, 07 Dec 2022 00:00:00 +0000

We're simplifying the deployment of your network data to answer "Is it the network?" faster!

Modern IT Operations need full stack visibility to understand if problems come from the application or the network. Bringing in your network data into New Relic is already easy with our guided data install process.

To bring in additional coverage and bring in faster time to value, we're now supporting adding your data with your Linux package manager (deb/npm) reducing dependency on using Docker containers to deploy network data. This will reduce the time to value so you can answer "Is it the network?" sooner.

Network monitoring provides:

Streamlined detection: Know if it's network causing issues without paging the Network team.
Improved MTTR: Know where a problem resides on the tech stack and who to notify.
Increase operational efficiency: Detect network anomalies by default with AI and automatic alerting.

How to get started

Learn more about sending your network data to New Relic.
Sign up today for a free New Relic account to take advantage of the 100 GB/month of data ingest, one full-platform user, and unlimited basic users offering to get started with network monitoring as part of the observability journey.

Log in or sign up for New Relic with the new Google integration

Mon, 01 May 2023 00:00:00 +0000

We are excited to announce a new feature that simplifies the onboarding experience for our users. New Relic now seamlessly integrates with Google for user log in and sign up, giving you the power of Google's secure authentication technology to manage access to our services.

Main updates:

You can now log in and sign up on New Relic with your Google or Google Workspace account, enabling a secure and quick authentication process.
This integration helps reduce password fatigue, allowing you to centrally manage access to New Relic and other services that support Google authentication.

How to use:

Go to the New Relic login page.
Click on the Sign in with Google button.
Select your Google account, and grant New Relic the requested permissions.
For new users, complete the onboarding process.

Perform advanced logs analysis using NRQL with one click

Fri, 05 May 2023 00:00:00 +0000

You know the power of New Relic when it comes to making sense of the logs generated by your systems. But sometimes, you need to filter, facet, and aggregate your log data in a specific way to get exactly what you want.

The NRQL query builder provides a rich set of functionalities — including autocompletion, syntax highlighting, and query validation — that make it faster and easier to get the precise answers you need with log data filtering and aggregation.

Go directly from your logs to the query builder with a single click:

Save time by starting a search with one of your most recent queries.
Make complex searches readable with multi-line queries.
Choose from any of New Relic's chart visualizations to tell a clear story with your log data.

Try it today and take your log data analysis to the next level with NRQL!

Connected infrastructure monitoring and APM is now in public preview

Thu, 18 May 2023 00:00:00 +0000

The connected infrastructure and APM solution allows you to correlate your performance across infrastructure, APM, and the rest of your stack to remediate problems faster than ever, without swiveling between tools.

Solution overview

Integrated infrastructure experiences inside APM: View CPU and memory for hosts, containers, and VMs within APM to instantly identify under-provisioned resources that are impacting applications.
At-a-glance estate view: See the status and count of hosts, applications, and events (dynamically adjusted as data is filtered), along with an alerts activity stream to understand overall system health.
In-context application health: Dynamic charts provide host- and APM-specific metrics to correlate drops in performance across infrastructure and the applications running on them.
Embedded change tracking: Analyze how application deployments impact host performance.

Get started

Install the infrastructure monitoring agent
Opt into the new experience.

Learn more:

New Relic launches AWS Systems Manager Distributor integration

Mon, 22 May 2023 00:00:00 +0000

The New Relic infrastructure agent can be easily distributed across thousands of Amazon EC2 instances and on-premise servers using AWS Systems Manager Distributor, simplifying the process of deploying and maintaining the agent lifecycle. This integration provides AWS customers with a more streamlined approach to monitoring their AWS environments, allowing them to easily and securely install and configure the New Relic agent across their instances.

Key features include:

Native experience: Configure directly in the AWS Command Line Interface (CLI) or any AWS Infrastructure as Code (IaC) tooling.
Automation: Install on both existing and new instances during scaling, automatically.
Hassle-free updates: Ensure the latest version of our infrastructure agent is always deployed.

The New Relic Azure Monitor integration is available

Tue, 23 May 2023 00:00:00 +0000

The Azure Monitor integration is available! This integration gives you real-time visibility into your Azure services, so you can more effectively manage your infrastructure.

What you get from the Azure Monitor integration

The ability to ingest metrics from all Azure services supported by Azure Monitor.
Native dimensional metrics experience for queries, alerts, and data explorer.
Azure entities with golden metrics and built-in dashboards.
Metrics decorated with custom tags defined in Azure resources.
Faster metric polling intervals, up to one minute.
The ability to filter your monitored resources by group, type, and tags.

To get started, learn more about the Azure Monitoring integration, or see how to migrate to the Azure Monitor integration.

If you have feedback about the integration, go to one.newrelic.com > Help > Give Us Feedback, and send us your thoughts.

Go beyond performance and understand your system health

Thu, 25 May 2023 00:00:00 +0000

APM summary tiles provide insights across the stack, ranging from key transactions to security, all at a glance, with no screen swivels. With APM summary tiles you can:

Identify emerging issues: Stay on top of your service's health by using interconnected insights from critical indicators like alerts, vulnerabilities, SLOs, and change tracking.
Troubleshoot faster: Identify and resolve issues faster by viewing critical service information in one location.
Improve reliability: Close monitoring gaps and get a more complete picture of the health of your applications with guided onboarding workflows that makes it easy to set up the key health indicators for your services.

Analyze Amazon Security Lake logs for a complete understanding of security

Tue, 30 May 2023 00:00:00 +0000

New Relic launched an integration with Amazon Security Lake, so you can collect multi-region, multi-account security data from across your microservices infrastructure and analyze that data in New Relic. By sending Amazon Security Lake logs to New Relic, you get a more complete understanding of security across your entire organization to protect your workloads and data.

Amazon Security Lake collects logs across multiple Virtual Private Clouds and AWS accounts. The easy one-time setup in New Relic brings AWS Security Lake logs into four dashboards developed specifically for these AWS sources:

Amazon Virtual Private Cloud (VPC) flow logs
Amazon CloudTrail
AWS Security Hub
Amazon Route 53

While New Relic already supports most of these features individually, Security Lake allows you to keep up with all of these security features across multiple accounts, and in a single data stream into New Relic.

New, scalable K8s monitoring UI to dynamically analyze your Kubernetes clusters

Wed, 14 Jun 2023 00:00:00 +0000

We've completely rebuilt our Kubernetes experience to give you a new UI that scales with large clusters. And with user-selectable drop-downs, you can now slice and dice your data in powerful new ways to dynamically analyze your performance.

Key features

See everything at-a-glance: Quickly understand overall cluster health with a completely redesigned visual experience that scales with large clusters.
Explore performance dynamically: See performance in a gradient view of user-selectable Entity Types and Metrics, Grouped by Namespace, Deployment, Pod, and Node (more coming!).
Go beyond nodes and pods: Analyze your cluster's performance broken down by Deployments, Statefulsets, and Daemonsets.
Support for new entities: Understand the status and performance of Jobs, CronJobs, PersistentVolumes, and PersistentVolumeClaims (more coming!).
K8s operator: Get a standardized and easy way to install, manage, and upgrade New Relic's K8s solution.

How to get started

Log into New Relic and select Kubernetes
Select the toggle next to Preview the new Kubernetes experience (New)
Read the documentation to learn more.

A screenshot showing CPU usage by Pod grouped by Namespace.

Subquery JOINs and Lookups now available across all data types, GeoIP available for logs

Thu, 29 Jun 2023 00:00:00 +0000

With these powerful new query capabilities, not only will you be able to get answers from your data much faster, but we've unlocked entirely new use cases for you, including understanding how your technology stack impacts your business.

By correlating any telemetry data and any business data in one place, you can connect the dots between the performance of your applications and infrastructure, business operations, and customer experiences, all without using additional tools or importing and exporting data between other systems.

Check out this Data Bytes video to see all three capabilities in action.

Subquery JOINs

Subquery JOINs allow you to combine data from different tables in the New Relic database. You might use this to correlate APM event data with logs data, or infrastructure metrics with synthetics, to understand how the performance of different systems impact each other.

Learn more:

Read the JOINs technical deep-dive blog
Read the JOINs documentation

Lookups

Lookups allow you to combine data that's not in New Relic with the rest of your telemetry, so you can understand how the performance of your systems impacts other business-related metrics. You might use this to understand at which locations are my point-of-sale terminals having more errors?

To learn more, read the Lookups documentation

GeoIP

GeoIP translates IP addresses into geographical data, allowing you to understand the origin of your traffic. You could use this to ask which locations have the most cache response code errors?

To learn more, read the GeoIP documentation.

A screenshot showing a query with JOINs, Lookups, and GeoIP.

Interactive scorecards added to the infrastructure UI

Sun, 26 Jun 2022 00:00:00 +0000

Adding to the new infrastructure UI that we launched in May, we've made the "scorecard" element (at the top of the page) interactive! But as a reminder, the original static scorecard gave you an at-a-glance estate view, so you could see the status and count of Hosts, Applications, and Events (dynamically adjusted as data is filtered), along with an Alerts activity stream to understand overall system health.

So what's new? The new interactive scorecards are, well, interactive. Here's what you get now:

Hosts: Filter by host and see host metadata.
Applications: Filter by application, and click to go directly to the APM page.
Events: Click to go directly to the events page.
Alerting: See the activity stream of alerts for the top 25 hosts.

Read the Documentation to learn more.

A screenshot showing interactive scorecards.

Continuous web performance monitoring made easy

Tue, 13 Jun 2023 00:00:00 +0000

Introducing website performance monitoring

Slow pages, broken links, and errors undermine your website's traffic, conversions, and revenue. New Relic website performance monitoring makes it easy to keep your website fast and reliable with continuous performance tracking and error alerting. Provide a better customer experience and boost funnel conversions with out complex set up.

Benefits

Spot and solve issues before they affect your business.
- Automated alerts for page down and broken links
- Schedule checks for continuous proactive monitoring
- Test from multiple geo locations
Set it and forget it: No more tedious one-off website graders
- Continuously track the performance of your site with no code
- No more manual checks. Enter your URL once and see how performance over time
- Proactively monitor as many pages as you want in one place
Learn how to improve UX and SEO.
- Get a dashboard with key metrics, such as Core Web Vitals, to understand why pages are broken or slow
- Get explanations for metrics and how they tie into user engagement and business metrics
- See recommendations for best practices and how to troubleshoot issues
Free to use! Upgrade for low cost.
- Get 500 checks per month for free. That's equivalent to 3 pages once a day plus 50 ad-hoc tests
- Upgrade to 10,000 free checks per month by providing a credit card.
- Only pay half a cent per check after that.

Get Started

Check out the web page for FAQs and to sign up
Read the blog post
Share this free tool with your web and marketing teams!

New logs UI design updates

Fri, 09 Jun 2023 00:00:00 +0000

In response to customer feedback, we've streamlined the logs UI to simplify the sidebar and make key features easier to find. Updates include:

Simplified the sidebar by removing collapsible sections.
Increased visibility of key features including partitions, alerts, and saved views by placing them next to the search bar at the top of the page.
Added new options to the partitions menu to more easily view all partitions, and recently viewed partitions.
Improved overall performance with new optimizations for a faster and more responsive logs UI.

Send notifications to OpsLevel service catalog

Thu, 22 Jun 2023 00:00:00 +0000

You can now send workflow and notification data to OpsLevel as a destination, using a webhook integration.

The OpsLevel internal developer portal (IDP) empowers your team to self-serve the tools and information they need to quickly build and ship high quality software. With a combination of cataloging, standardization, and developer self-service features, OpsLevel helps engineering teams fix, build, and maintain software easily from a single access point. The OpsLevel integration surfaces the status of your services within the context of your full production environment, so you can easily understand the upstream and downstream impacts of an alert to triage more confidently and make fixes faster.

Benefits include:

Set yourself up to avoid incidents, performance issues, or gaps in your observability data streams
Give your team real-time visibility of production status across your software ecosystem
Keep your team informed of alerts and notify the correct people to help resolve them

Learn how to set up the webhook integration in the video below, or read the documentation and OpsLevel blog post.

Debug faster and improve performance with Distributed Traces in Transactions

Thu, 22 Jun 2023 00:00:00 +0000

We’re rolling out critical enhancements to our transactions and distributed traces workflow. With Distributed Tracing in Transactions, you can quickly and effectively understand how your app and services are doing with the contextual data you need to conduct root-cause analysis faster and optimize your application’s performance.

Key capabilities include:

Connected traces and transactions toggle: Get to the root cause faster by viewing only transactions that surface the associated distributed traces in a single view.

Simplified workflow to surface the contextual data: Analyze application performance with insights into the associated trace of a transaction with a single click.

How to get started

Check out our documentation on Distributed Tracing
Read our documentation on Transaction Traces

Synthetics Horde IP changes for private locations

Fri, 23 Jun 2023 00:00:00 +0000

Starting August 23, 2023, the IP address range associated with the New Relic service used by synthetics private locations will be updated.

What’s changing? We’ll be migrating the IP address range for the New Relic service used by synthetics private locations to align with our standard IP ranges used across other data ingest.

What action is required? If you’re utilizing synthetics private locations, it’s highly likely that you will need to make some configuration changes. To ensure uninterrupted access, update your firewall and proxy configurations to allow outbound traffic from your private locations to the new IP ranges listed below.

US data center endpoints: 162.247.240.0/22
EU data center endpoints: 185.221.84.0/22

What if I don't use synthetics private locations? If you don’t use private locations, you don’t need to perform any action. The network rule changes for the Horde IP addresses will not affect your current monitors or configurations.

We understand that these changes may require some adjustments to your routine. Please know that we’re committed to supporting you throughout this process. If you have any questions or need further assistance, please don't hesitate to reach out to our support team.

Unlock the power of daily insights with New Relic APM 360

Mon, 26 Jun 2023 00:00:00 +0000

New Relic APM 360 seamlessly correlates all essential telemetry data throughout the application stack and development cycle. From deployment changes to Service Level Objects (SLOs), logs, infrastructure, errors, security, distributed tracing, and beyond, it empowers engineers with indispensable daily insights to enhance application health and performance. No matter their role or expertise level, all engineers can understand the upstream and downstream impacts of issues, identify emerging trends, and proactively prevent problems from arising.

Here's what you can do with APM 360:

Gain daily insights: Get an at-a-glance summary of application performance across the stack and development stages, including alerts, deployments, service levels, and vulnerabilities to identify emerging issues.
Troubleshoot faster: Access a unified view of the entire stack, with golden signals, infrastructure details, error user impact view, and upcoming additions like distributed tracing and log patterns.
Eliminate monitoring gaps: Identify and address gaps in monitoring, such as uninstrumented services, missing alerts, SLOs, and vulnerabilities.

Join a local user group meetup this summer

Wed, 19 Jul 2023 00:00:00 +0000

Join our user group meetups happening across the US and Canada this summer with food, drinks, and of course - data talk! We’ve got a jam-packed agenda where you’ll hear from our expert engineers and brilliant customers, then we’ll wrap up with a little fun. Find a location near you to register.

Analyze and triage your errors with the NEW Browser Errors experience!

Wed, 26 Jul 2023 00:00:00 +0000

We’ve given the browser experience a whole new look and feel that connects your error analysis and triage workflow and accelerate error resolution before it severely affects your customers. With this new experience, you’ll get:

Deeper insights into your errors with stack traces & event trails: You can now upload source maps and access event trails to gain a clearer understanding of the error and what actions led to the error.
Data filtering and discovery capabilities for comprehensive data analysis: You can now slice and dice your data to conduct a more thorough analysis of errors that occur. Updates include:
- Ability to filter by attributes
- Error group summaries at the dynamic group level
- Easily viewable and downloadable attributes via Error profiles
Seamless transition from analysis to triage to act on errors with confidence and speed. Each individual error occurrence is now connected to the static error group it belongs for faster triaging.

JS Errors.

How to get started

Check out our documentation on Browser: Group errors tab

Cumulative distribution functions are now available in NRQL

Mon, 31 Jul 2023 00:00:00 +0000

The cumulative distribution function (cdf) gives the probability that a value is less than or equal to a threshold.

In NRQL, you now can use the cdfPercentage() function to show what percentage of a numeric or distribution metric attribute's values are less than one or more thresholds. The getCdfCount() function returns how many of a numeric or distribution metric attribute's values are less than a threshold.

For example, this query returns the percentages of page views where first paint happens in 0.5 seconds or less, and in 1 second or less:

Take a look at our documentation on cdfPercentage() and getCdfCount() to learn more!

Eliminate vulnerabilities in every app and ship code faster with New Relic IAST

Wed, 26 Jul 2023 00:00:00 +0000

Applications are the lifeblood of every organization and in today's digital business developers need to move fast and ensure every application is secure. Now you can with New Relic interactive application security testing (IAST).

New Relic IAST provides instant visibility and context to security findings via continuous monitoring, unmatched detection accuracy and proof-of-exploit via dynamic assessment capabilities that pinpoint the source of vulnerabilities by simulating real-world attacks, and faster resolution via guided remediation so you can ship code faster.

To access these new capabilities simply log into New Relic and select IAST from the left hand side nav to start testing each and every application.

With New Relic IAST you can:

See all protected and unprotected applications and eliminate blind spots for more comprehensive application security testing.
Pinpoint exactly where vulnerabilities exist in real-time with near zero false positives.
Find, fix and verify vulnerabilities with proof of exploit.
Leverage guided remediation from New Relic experts to resolve security issues faster.

Try it today and start building more secure code with speed and confidence!

Visualize your data, your way, with New Relic Widget Packs!

Thu, 27 Jul 2023 00:00:00 +0000

New Relic dashboards provide a rich library of open-source custom chart widgets built with React.js. These are organized according to common use cases, and all pinned within a single dashboard view. With charts widget packs, you get:

Customizable Templates: Visualize your data, your way, with out-of-the-box tools and resources and advanced capabilities to customize the data to your needs and the needs of your stakeholders.
Open Source Library: Access our open source and developer community as well as New Relic’s library of dashboards, quickstarts, custom visualizations, and more.

Effortlessly enable logs in context with APM 360’s guided workflow for log forwarding

Fri, 04 Aug 2023 00:00:00 +0000

APM logs in context bring together log data and other relevant APM telemetry to provide a more comprehensive view of application's behavior and performance. This reduces context switching and enables faster troubleshooting. New Relic APM 360 now provides a guided workflow to effortlessly enable APM log forwarding. This step-by-step process covers everything from service selection to log forwarding setup and data testing.

Ease of integration and time savings: With APM 360, setting up log forwarding becomes a breeze. The guided workflow simplifies the process, reducing complexity and saving time for developers and devOps teams to initiate application log monitoring.
Improved troubleshooting and issue resolution: Accurate log collection and forwarding are ensured through the guided process. This leads to faster issue resolution as teams can quickly access the right logs, correlate them with other telemetry, and pinpoint the root cause of problems reducing application downtime.

By leveraging APM logs in context with New Relic APM 360, organizations can achieve more efficient monitoring, streamlined troubleshooting, and proactive issue resolution, resulting in better overall application performance and user experiences.

Announcing the GA of the new MongoDB integration

Fri, 04 Aug 2023 00:00:00 +0000

We’ve released a significant upgrade to our MongoDB integration, giving you an improved monitoring experience without installing any third-party software. This on-host integration allows you to track key metrics and gain critical insights into how your MongoDB instances are performing. The new MongoDB integration, which is based on Prometheus, replaces the legacy MongoDB integration, which will be deprecated in the near future.

Get started today

New installations: Read our documentation to learn how to install and configure the new integration. Migrate from our legacy integration: Read our migration doc to upgrade to the new integration.

Benefits of the new integration

Compatible with MongoDB 4.0 or higher, Percona Server, and MongoDB Atlas M10 or higher.
Available in Linux, Windows and Containerized environments.
Compatible with New Relic’s entity-driven experience, with support for three entity types:
- MongoDB instances
- Databases
- Collections
Easier installation with our new data onboarding UI.
Monitor the health of your entire MongoDB infrastructure, including instances, databases, collections, replica sets, and members.
With MongoDB instance logs, get deeper visibility, near-instant search, and full contextual log information for any volume of queries.
Set alerts based on any metric you monitor.

Why you should upgrade to the new MongoDB integration

New Relic’s legacy MongoDB integration will be deprecated shortly.
The new integration supports more versions of MongoDB (MongoDB v5-v6, Percona servers, Atlas M10 or higher).
Support for SCRAM authentication.
Better data governance capabilities to ensure you only ingest the metrics you need.
Improved MongoDB quickstart.

Automated monitoring of EC2 instances with New Relic

Tue, 08 Aug 2023 00:00:00 +0000

Our EC2 quickstart solution allows you to automate the monitoring of your AWS EC2 infrastructure. It provides enhanced monitoring of your EC2 instances and achieves deep observability within your AWS account.

To get started, deploy the CloudFormation template. It automates the installation of our infrastructure agent in existing EC2 instances (before this installation) and new ones (those created after this installation).

Observability in New Relic after successful deployment

New Relic infrastructure agent installation logs

The EC2 CloudFormation template has undergone testing to ensure successful deployment. It not only installs the infrastructure agent but also sends the installation status of the agent as log data.

EC2 metrics dashboard in NewRelic

Export Logs to CSV or JSON

Fri, 11 Aug 2023 00:00:00 +0000

Download your logs easily in the Logs UI by using the new Export feature! This allows you to download logs in either the JSON or CSV format, up to the export limit.

To get started, go to the Logs UI and select the Export button at the top of the log table. Choose a format, and a limit and hit "Download" to start your logs export.

Want to export more than the export limit permits? Take advantage of our Data Plus offering to use either Streaming Export or Historical export . Learn more

Gain performance insights and troubleshoot problems that occur over time with Preserved Traces

Tue, 15 Aug 2023 00:00:00 +0000

We’ve improved New Relic troubleshooting capabilities by keeping the distributed traces you view for up to 395 days to allow long-term analysis across your application stack. By storing a snapshot of your trace data for longer periods of time, you can now gain insights into business processes, identify areas of improvement, and even help you better investigate incidents. You can also link your viewed traces from your bug and feature tickets for quick access for a complete view of your stack and faster issue resolution.

With New Relic Preserved Traces you can:

Easily save your traces: keep a trace snapshot simply viewing the trace, so you're able to better troubleshoot problems like intermittent errors and performance bottlenecks.
Find trace details faster: get the insights you need faster with direct links to traces that now include the context you need to conduct root-cause analysis (RCA).
Deeper transaction analysis: view and investigate trace data over time to improve issue identification, discover trends, and identify areas for improvement.

How to get started

Check out our documentation.

Easily send Docker and StatsD metrics to New Relic using the OpenTelemetry Collector

Wed, 16 Aug 2023 00:00:00 +0000

OpenTelemetry Collector simplifies instrumentation efforts by providing a centralized and vendor-neutral solution for gathering, processing, and exporting Docker container and StatsD metrics directly to New Relic, without the need for additional integrations. Now you can get better performance and easy data export to New Relic:

Docker containers: Instantly visualize docker metrics streamed through the OpenTelemetry collector in New Relic using pre-built dashboards, create alert policies, and create custom queries and charts. This makes it easy to analyze the performance of Docker containers, facilitating swift troubleshooting and optimization of your applications.
StatsD: Using the OpenTelemetry Collector you can now independently harvest StatsD metrics without the requirement to have Docker for scraping. This allows for streamlined and simplified acquisition of StatsD metrics which you can then visualize with New Relic to get 360° insights.

Connected infrastructure monitoring & APM is now generally available

Wed, 30 Aug 2023 00:00:00 +0000

Our connected infrastructure and APM solution allows you to correlate your performance across infrastructure, APM, and the rest of your stack to remediate problems faster than ever, without swiveling between tools.

GA release enhancements

Summary tab: View the performance of your hosts with interactive scorecards that include filtering options for both infrastructure and APM.
Saved views: Get one-click access to the filters and metrics you use the most.

Solution overview

Integrated infrastructure experiences inside APM: View CPU and memory for hosts, containers, and VMs within APM to instantly identify under-provisioned resources that are impacting applications.
At-a-glance estate view: See the status and count of hosts, applications, and events (dynamically adjusted as data is filtered), along with an alerts activity stream to understand overall system health.
In-context application health: Dynamic charts provide host- and APM-specific metrics to correlate drops in performance across infrastructure and the applications running on them.
Embedded change tracking: Analyze how application deployments impact host performance.
Related Entities Automap : Quickly identify the impacts to related infrastructure components and services during performance degradations using a visual map.

Get started

Install the infrastructure monitoring agent
Inside New Relic, select infrastucture monitoring to access new experience

Learn more:

A screenshot showing the infrastucture monitoring experience.

Reduce clutter and simplify your workflows with errors inbox custom fingerprinting

Wed, 23 Aug 2023 00:00:00 +0000

We’ve rolled out errors inbox custom fingerprinting, which enables you to group errors according to your needs, resulting in a faster error triage and prioritization process by streamlining the error groups that you need to focus on, leading to lowered MTTR and more cost savings.

With this enhancement, you’ll get:

Simplified error prioritization and triage: Reduce inbox clutter by creating your own custom groups by simply using a call-back function or naming a group via a custom attribute.
Faster set-up: Simple implementation in minutes to help you prioritize the right issues you need to resolve before it affects your customer.

How to get started

Check out our documentation

Improve your efficiency with Quick Find and keyboard shortcuts

Wed, 06 Sep 2023 00:00:00 +0000

Discover enhanced search, customizable shortcuts, and collapsible second-level navigation in our latest UI enhancements. These updates allow you to navigate the platform with precision, save time, and gain critical insights for peak system performance and reduced MTTR.

With our new UI enhancements, you can:

Find what you need faster and more easily with our improved search functionality – now called Quick Find – to search for capabilities and view your recently visited entities.
Navigate more efficiently with our new global keyboard shortcuts, allowing you to complete tasks with fewer clicks.
Maximize your ability to view critical data points by collapsing the redesigned second-level navigation bars, removing distractions and freeing up valuable screen real estate.

Next steps

Check out our documentation for keyboard shortcuts and quick find.
Watch the databyte video.

Troubleshoot your mobile app release versions faster

Thu, 14 Sep 2023 00:00:00 +0000

Our enhanced mobile versions UI empowers you to optimize your mobile app deployment with instant visibility into mobile version releases to ensure uptime, performance, and reliability. Now, you can easily identify problematic releases, proactively address issues, and reduce MTTD and MTTR.

With the new mobile release versions you get:

Instant performance insights: Evaluate the overall performance of each release as soon as you deploy to resolve issues faster and identify areas that have the potential to impact the user experience.
Single view of all release versions: Access a consolidated overview of essential metrics such as crash rate, error rate, user adoption, and crash-free user percentage, and compare them across versions, all within a single view.
Dynamic application health graphs: Analyze trends with a single click, filter data by release version, and drill down into granular metrics to make informed decisions quickly.

Next steps

Read the documentation to learn more.

Personalized pre-built dashboard recommendations to help you monitor in minutes

Mon, 18 Sep 2023 00:00:00 +0000

We've updated our dashboards UI to recommend quickstart dashboards personalized based on your stack. Now you can quickly find relevant data visualizations in the same place you find the rest of your dashboards. With this update, you can:

Discover curated pre-made solutions based on the stack you rely on.
Get instant full-stack observability with a guided dashboard installation process.
Save the time and hassle of manually building dashboards from scratch, so you can spend your time monitoring and troubleshooting your system.

Discover and install recommended dashboards in seconds. You can also curate your recommendations by modifying your stack configuration.

How to get started

To install a pre-built dashboard:

Go to the dashboards page and select the account you want to work in.
Select a dashboard from the Recommended dashboards section at the top of the screen.
Follow the instructions in the Setup data source section. If you've already instrumented the data source, you can skip this step.
Click View dashboard to deploy the dashboard!

Curate your recommendations

To tailor your recommendations, you can now modify your account stack configuration:

From the Dashboard home page, make sure you have an account selected.
Under the Recommended dashboards section, select Tell us about your stack.
In the new window, update your stack configuration by selecting all applicable choices.
Confirm and select Save. The new recommendations will now appear.

Note:

If you have not selected your stack configuration, your recommendations will include a common set of curated popular pre-built dashboards.
When you change your stack configuration, this will affect the recommendations for your entire account, including those of other users in the same account.

Learn more by reading the docs.

Video analytics dashboards now available for Datazoom and Mux

Thu, 14 Sep 2023 00:00:00 +0000

Our connected infrastructure and APM experience allows you to correlate your app performance with video streaming performance. We’re announcing quickstarts dashboards from our partners Datazoom and Mux that enable you to centralize your streaming performance data in the New Relic platform.

Datazoom Integration

Datazoom offers a Data-as-a-Service platform offering collection, processing and delivery of data in real-time, with special capabilities around auto-collection for video events and metadata. Datazoom removes data silos caused by vertical SaaS integrations by offering one integration to generate one unified, real-time dataset, that can be delivered to any data storage or analytics tool, like New Relic.

We’ve partnered with Datazoom Relic to create a dashboard that visualizes data from Datazoom to track core KPIs and monitor metrics relating to Audience, Content, QoE (quality of experience), and Advertising. Beyond tracking KPIs, Engineering, Product, AdOps teams can use this dashboard to gain a deeper understanding behind the location and cause of issues, and enable faster Mean Time To Resolution (MTTR), when analyzing data from Datazoom.

Learn more:

Install the Datazoom quickstart.
Check out the setup guide.

Mux Integration

Mux provides video infrastructure that makes it easy for development teams to get actionable data at industry-leading scale, and build video into their products quickly and reliably.

We’ve partnered with Mux to build an integration that offers enhanced observability across the entire customer video experience, including devices, players, transcoders, origin servers, CDNs, and more. This enables users to identify potential system failures and bottlenecks along the entire delivery chain—expediting troubleshooting cycles and empowering teams to maintain high QoE and leading to increased viewer engagement and revenue generation.

Learn more:

Install the Mux Video Analytics quickstart.
Read the blog.

Introducing our new alert event signal analysis feature for enhanced monitoring and response

Mon, 18 Sep 2023 00:00:00 +0000

Simultaneous current and historical signal data

With this feature, you can now view both the real-time status of your signals and access comprehensive historical data all on one page. No more jumping between screens or endless clicks. We've streamlined the process to make it more efficient and user-friendly.

Deployment markers

As an extra addition to the incident chart, we've introduced deployment markers. You can now see related entity deployments as a gray marker on the chart. Hovering over it will provide you with a tooltip containing relevant details about the deployment, such as the entity name, deployment description, and deployed version.

Enhancing incident investigation

Introducing this feature and a tool to access a more extensive historical record and the current state of signal behavior will enhance users' capacity to investigate incidents. It will also streamline the process, reducing the number of clicks required to access critical data and consequently saving users valuable time.

We are committed to continually improving our platform and providing you with the best possible experience. This new feature will significantly enhance your ability to analyze signals and incidents, making your incident management process more efficient and effective. Give it a try and let us know your thoughts. We're always eager to hear your feedback and suggestions for future improvements.

Introducing New Relic Session Replay, now in limited preview

Tue, 26 Sep 2023 00:00:00 +0000

We're excited to announce New Relic Session Replay is now available in Limited Preview! Ensure the best digital experiences with a video-like playback of user interactions alongside granular code-level telemetry data.

Whether your user encountered an issue during an online transaction or stumbled upon a bug, Session Replay allows you to retrace their steps and pinpoint the exact problem, making troubleshooting easier than ever.

With Session Replay, you can:

Play back and improve user experience: Quickly identify bottlenecks and pain points in the user journey with a detailed video-like playback of user actions.
Fix code-level issues: Access granular traces and error details to identify the exact code responsible for performance issues and get to the root cause faster.
Ensure user privacy: Protect users with client-side privacy obfuscation and encryption to ensure the security of their data.

Next steps

Sign up here to get on the waitlist.
Read our blog for more information.

Your logs in the context of "what changed?"

Wed, 25 Oct 2023 00:00:00 +0000

Logs can provide valuable information about what is happening to the entities that make up your systems. New Relic allows you to view your logs in relation to the health and performance measures that are already being collected from these components, and now you can see those logs in the context of deployments, alerts, and any other operational events you are tracking.

At a glance you can correlate logs with these operational events to provide greater detail about them, allowing you to troubleshoot problematic deployments or to quickly uncover the cause of an incident.

Manage NRQL Lookup Tables with the NRQL Lookups API

Mon, 02 Oct 2023 00:00:00 +0000

Our new NRQL Lookups API lets you automate lookup table maintenance through a REST API. In addition to uploading CSV formatted files, tables can now be defined directly in a JSON payload - facilitating the management of lookup tables.

Following the NRQL Lookups feature release, users could only perform lookup table maintenance via the Lookups tables UI. We realize that manually updating a lookup table through the UI each morning is not realistic, and are pleased to offer automation for this critical process.

Check out the NRQL Lookups API documentation for more details.

Gain daily insights on AWS RDS cluster health with database summary tiles.

Sat, 21 Oct 2023 00:00:00 +0000

New Relic APM 360 already lets you unlock daily insights through a unified view of your telemetry across your entire stack and development stages. The latest enhancement includes database summary tiles to the APM 360 databases view. With the tiles:

Gain daily database insights: Keep track of your database's health through the alert tile, displaying the number of related database entities in critical or alert status in a single view.
Eliminate monitoring gaps: Easily identify monitoring gaps to achieve a holistic view of your database health using guided onboarding workflows for easy setup of missing alerts or instrumentation.

This feature is currently available only for AWS RDS clusters, with support for other databases in the coming months.

New Relic errors inbox now includes version tracking

Tue, 07 Nov 2023 00:00:00 +0000

With the frequency of software releases increasing, sometimes to many times a day, identifying if a particular version introduced an error becomes challenging. New Relic errors inbox now supports version tracking & filtering so you can easily identify which version introduced the error, making detection and root cause identification even easier. With version tracking in New Relic errors inbox, you get:

Faster root cause identification: Identify the version of the code release where errors first occurred so you can focus on fixing the code rather than finding the error.
Accelerated issue resolution: Reduce the steps and screens required to detect, identify, and resolve issues with less toil.
Real-time error visibility: Get an up-to-date summary of any new errors introduced by recent software releases and stay ahead of issues before they impact customers.

Get early access to New Relic AI Monitoring - Industry's first APM for AI

Tue, 14 Nov 2023 00:00:00 +0000

New Relic AI Monitoring (AIM) provides unprecedented visibility and insights across the entire AI application stack, enabling engineers to troubleshoot and optimize their AI apps for performance, quality, and cost.

With New Relic AIM you can:

Debug faster with complete AI stack visibility: End-to-end visibility of your entire AI app stack. Spot and fix problems easily from application to infrastructure to the AI layer.
Ensure AI app performance, quality, and cost: Follow the end-to-end lifecycle of LLM prompts and responses to optimize for speed, quality, and cost of AI apps.
Choose the right model for your app: Track usage, performance, quality and cost across all models in a single view. When you're ready, choose the right model for your needs and to optimize costs.
Instantly monitor any AI ecosystem: 50+ integrations and counting for popular LLMs, vector data stores and more. AIM is the most comprehensive solution for monitoring any AI ecosystem.

Access observability data instantly from the New Relic mobile app

Wed, 15 Nov 2023 00:00:00 +0000

Gain on-the-go access to vital data insights with quick actions and updated widgets in the New Relic mobile app. Reduce the time needed to find and analyze critical information no matter where you are. Triage problems quickly and improve mean time to resolution (MTTR), directly from your mobile device.

With quick actions and widgets on mobile, you get:

Instant access to the most critical data: Reduce the time spent sifting through menus. Access your most vital entities for troubleshooting and issue resolution. When you long-press the New Relic app icon, see your customized favorites list.
Customizable widgets and shortcuts: Customize your shortcuts and widgets to fit your unique workflow and priorities. Whether you're interested in Issue Counts, service levels, or any other custom chart, these features let you take control of your data access and management.
All the data you need at your fingertips: Add widgets directly to your device's lock screen (Android only, iOS coming soon!). Keep a close eye on system health, performance metrics, and alerts without unlocking your device, so that you can stay informed and responsive.

Next steps

Check out our documentation for quick actions and widgetes for Android and iOS
Watch the databyte video.

New connected experiences feature for charts

Thu, 16 Nov 2023 00:00:00 +0000

We’ve updated our charts to make it easier to see the right data in the right view with fewer clicks!

Dashboards help you query, visualize, and correlate data from multiple sources across your stack. When dips and spikes appear on your charts, you want to quickly understand the reason why and go from a broader view to a deep diving into your data.

Now, you can click on time series charts from anywhere in New Relic to go directly to associated entities as well as their traces and logs. This allows you to:

Troubleshoot faster with context: Take the right next steps by seeing associated entities.
Deep dive to the right data easier: Automatically connect with relevant services, hosts, and more.
Get context from anywhere in the platform: Pivot to the right pages in a single click.

Explore and troubleshoot faster in relevant UI views with connected experiences for charts in New Relic.

This new feature is available in charts that appear in:

Custom dashboards
Curated capability views like APM, infrastructure, browser, and more
Query builder

Note: Entities only appear in the contextual menu if the widget query explicitly defines the entities queried with entityGuid, entity.guid, appName, entity.name or entityName in the WHERE clause of the underlying NRQL code.

Learn more in the charts documentation or watch the video below.

New AWS/Azure/GCP HOST metrics

Fri, 01 Dec 2023 00:00:00 +0000

As of December 1st 2023, the New Relic cloud monitoring integrations will report additional metrics. The new metrics are:

AWS EC2:

diskReadOps
diskWriteOps
diskReadBytes
diskWriteBytes
NetworkIn
NetworkOut
NetworkPacketsIn
NetworkPacketsOut

Azure VMs:

Percentage CPU
Network In
Network Out
Disk Read Bytes
Disk Write Bytes
Disk Read Operations/Sec
Disk Write Operations/Sec

GCP Compute Engine (VMs):

instance/cpu/utilization
instance/network/received_bytes_count
instance/network/received_packets_count
instance/network/sent_packets_count
instance/network/sent_bytes_count
instance/disk/read_bytes_count
instance/disk/read_ops_count
instance/disk/write_bytes_count
instance/disk/write_ops_count

Potential impacts

When AWS API Polling, Azure Polling, and GCP integrations are enabled, additional metrics may incur data ingestion costs at 3 to 4KB per metric per host.

Contact support.newrelic.com to enable these metrics on-demand.

Install EKS add-on from AWS marketplace

Fri, 01 Dec 2023 00:00:00 +0000

Monitor your AWS EKS Clusters with New Relic EKS integration, available on AWS EKS Marketplace. New Relic offers end-to-end visualization on cluster metrics and events, and our new add-on eliminates the time consuming process of installing the helm charts manually.

Installation of the New Relic EKS integration offers the following advantages:

Check health of your nodes in your cluster: Monitor the status of each node and the resources available to them, such as CPU and memory usage.
Customizable CRDs: Create Custom Resource Definitions (CRDs) to enable/disable various pods as per the monitoring requirements.
Detailed events: View detailed Kubernetes events to monitor health of the cluster.

Check out our documentation for eks-add-on.

Synthetics Horde legacy IPs released for private locations

Fri, 17 Nov 2023 00:00:00 +0000

On January 15, 2024, IPs from pre-August 2023 used for synthetics private location communication will return to Amazon. Once returned to Amazon, these IPs could be used by others in the future.

What’s changing? Synthetics private locations use Horde to retrieve synthetic checks and return results. Horde IP ranges changed in August 2023. The IPs used pre-August 2023 will return to Amazon on January 15, 2024 and could be used by others in the future.

Legacy US horde IPs:

13.248.153.51
76.223.21.185

Legacy EU horde IPs:

185.221.86.57

What action is required? If you utilized synthetics private locations before August 2023, it’s very likely that you need to clean up network rules. Any configurations allowing outbound connectivity to the IPs listed above can be removed at any time.

There will be no impact to synthetic monitors using private locations or current private location connectivity. If you're using private locations today, you're already utilizing the Horde IP ranges that we released in August 2023.

What if I don't use synthetics private locations? If you don’t use private locations, you don’t need to perform any action.

Level up your Kafka monitoring with New Relic APM 360

Wed, 20 Dec 2023 00:00:00 +0000

At New Relic, we run high-throughput Kafka clusters, and know firsthand the challenge of managing them. That's why we built an intuitive Kafka UI as part of New Relic APM 360. Now you have unparalleled insights and control over your Kafka clusters, along with the rest of your entire stack.

With Kafka monitoring in New Relic APM 360 you can get:

Instant real-time Kafka insights: Scrape key client Kafka metrics effortlessly with the Java agent to quickly gain real time insights by connecting the dots across your hosts and service through an unified UI.
Spot outliers and troubleshoot faster: Instantly spot anomalies in key metrics across all Kafka client components - producers and consumers - to ensure smooth data flow
Pinpoint bottlenecks: Using latency metrics, throttling rates, queue depth, and retry counts identify bottlenecks that impact data flow and increase latency
Uncover hidden broker issues: Analyze client-side metrics like producer/consumer throttle time and retry rate growth to detect potential broker-side issues and resource limitations
Boost data flow with client-side optimization: Identify uncompressed data streams through metrics such as average producer compression ratio and implement efficient compression strategies to shrink data size and improve throughput

Gain better insights into your Transaction Traces with our improved UI

Tue, 12 Dec 2023 00:00:00 +0000

The new transaction traces UI allows you to understand all the data captured on your transaction traces to provide the context for faster root-cause analysis. You can also filter the UI view and expand or collapse specific features as needed to focus on any key elements you need!

With the updated transaction trace UI, you can now:

Instantly identify trace insights: See all attributes from transaction traces directly in the UI, with a redesigned default view containing time-consumed pie charts, comprehensive span details, and segments.
Quickly visualize and analyze traces: Find root causes by using updated functionality in the trace waterfall, allowing you to focus on specific span times for quicker resolution.
See latency at-a-glance: Identify which segments cause latency in a single view with the new latency pie chart visualization.
Easily export data for further analysis: Share insights and collaborate more effectively using the CSV export of database queries.

Next steps

Check out our documentation to learn more.

Join the New Relic AI Preview

Thu, 21 Dec 2023 00:00:00 +0000

We've expanded early access for New Relic AI, the industry's first generative AI observability assistant.

This preview offers an early taste of what New Relic AI will be able to do once it becomes generally available. Here are some of the capabilities that you can explore during this preliminary release phase:

Translate plain language into New Relic Query Language (NRQL) queries, run NRQL queries, and render the results in plain language or visualize them as a chart or graph.
Synthesize how-to guides based on our extensive documentation.
Surface New Relic Lookout insights/anomaly data in response to root cause analysis (RCA)-style prompts.
Summarize and get recommendations for open dashboards.
Understand and fix errors in CodeStream.

Eligible* customers can get early access to New Relic AI today upon acceptance of the New Relic pre-release policy and service specific terms.

*FedRAMP-enabled and HIPAA-enabled customers aren't eligible to participate in the preview of New Relic AI at this time.

Streamline error management with New Relic errors inbox mobile grouping

Thu, 21 Dec 2023 00:00:00 +0000

New Relic errors inbox now lets you automatically group mobile error events into common patterns. This reduces noise so you can focus on the issues with the highest user impact before they hurt the business. With New Relic errors inbox mobile grouping now you can:

Identify high-impact errors faster: Automatically identify patterns across thousands of individual errors and turn them into meaningful groups, so you can zero in on the most important issue and priorities.
Analyze more errors with less effort: Improve the user experience for apps with high-volume mobile engagement while staying under cardinality limits. This allows you to capture and examine the errors that matter most.
Improve error triage: Streamline root cause analysis with better insights into mobile user activity. This expands full stack coverage with mobile error grouping as part of the New Relic all-in-one observability platform.

To learn more about error grouping, check out our documentation.

Get test observability with the LambdaTest integration

Tue, 09 Jan 2024 00:00:00 +0000

The new LambdaTest integration and quickstart dashboard make it easier to understand your digital experience testing metrics from LambdaTest alongside the performance insights from across the rest of your stack in New Relic.

LambdaTest is an AI-powered test orchestration and execution platform for running manual and automated tests at scale. Common use cases for LambdaTest include cross-browser, mobile app, automation, visual regression, load, and security testing. Test websites and mobile applications across 3000+ real browsers, devices, and operating systems to ensure high-quality product delivery.

The integration brings LambdaTest metrics into a pre-built curated New Relic dashboard, and allows you to:

Proactively improve digital experiences by monitoring key metrics such as test executions, durations, failure rates, and errors.
Accelerate troubleshooting with deeper insights into test failures, anomalies, and environments where errors occurred.
Build better cross-platform experiences by gaining insights on website and application compatibility and functionality across thousands of different browsers and devices.

Next steps

To connect your LambdaTest data to New Relic, all you’ll need is your New Relic license key. Follow the steps in the docs to configure the integration and install the quickstart dashboard.

Synthetics monitor downtime updates

Wed, 13 Dec 2023 00:00:00 +0000

Schedule monitor downtimes to specify times that your synthetic monitors shouldn't run, stopping alerts and preserving SLA report metrics.

With the updated monitor downtime experience, you can:

Schedule monitor downtime windows that span more than 24 hours.
Manage monitor downtime configurations programmatically using NerdGraph.
View relationships between synthetic monitors and monitor downtime configurations using service maps and entity relationship NerdGraph queries.

Next Steps

Check out our docs for the monitor downtime UI and API information.

Parsing and transforming data just got easier with jsonParse(), cidrAddress(), toTimestamp() and many more functions!

Thu, 18 Jan 2024 00:00:00 +0000

Data isn't always clean, and extracting the right fields in the right format can be difficult without the right tools. That is why today we are excited to announce multiple new NRQL features geared towards helping customers parse and transform their data in new ways. The following functions are now generally available to all customers:

jsonParse() - Parse JSON at query time
mapKeys() - Return the keys from your parsed JSON
mapValues() - Return the values from your parsed JSON
convert() - Convert from one metric unit to another (milliseconds to seconds)
cidrAddress() - Find the base network address of your IP address
toTimestamp() - Convert a datetime string into an epoch time
toDatetime() - Convert an epoch time into a datetime string (in the format you want!)
encode() - Encode your data into base64
decode() - Decode your data from base64

For a deeper dive into each of these functions, check out the documentation via each link!

Deprecating inspected count limits for all customers

Mon, 22 Jan 2024 00:00:00 +0000

Inspected Count (IC) is the internal unit of measure to calculate the “cost” of a query, or the resourcing cost of how many data points were inspected to process the query. https://newrelic.com/blog/best-practices/retiring-inspected-count-limits

When a customer-initiated query is run, either from a query or a UI page load, that query inspects a certain number of data points in the NRDB database. The IC limit is the cumulative cost of inspected customer data points over a 15 minute time range. These limits differ depending on which data option you have.

IC limits resulted in a substandard customer experience. When customers exceed these limits, they would need to wait 15 minutes before limits reset. Today, we’re announcing that we have removed IC limits for all customers. This has several immediate benefits:

No dropped queries due to IC limits.
No 15 minute wait time for limits to reset.
When the new limits are reached, queries may slow down but will not be rejected.
Doubling query capacity from 10B to 20B data points per min for Data and 34B to 60B data points per min for Data Plus.

Next steps

To learn more about the new max query limits for each data option, check out our documentation.

NRQL result limits increased from 2,000 to 5,000

Tue, 09 Jan 2024 00:00:00 +0000

On February 5, 2024, NRQL result limits increased from 2,000 to 5,000 results. This increase lets you pull even more data with the LIMIT clause when you create NRQL queries, dashboards, and more.

This change also affects the LIMIT MAX clause, increasing posted results from 2,000 to 5,000.
If you have an existing query that uses the LIMIT MAX clause, your results now reflect the 5,000 limit, assuming the underlying data is populous enough.
Some existing queries that successfully posted results with LIMIT MAX may fail. Larger limits can cause timeouts, or result in failure due to complexity.
You can use LIMIT 2000 instead of LIMIT MAX to only display 2,000 results.

This change won't affect existing queries if they lack a LIMIT clause, use default result limits, or specify an explicit result below 2,000.

What do you need to do?

Existing queries using LIMIT MAX may return more data than before. This could potentially slow down dashboards or reports that use those queries.

To avoid unintended changes, update any queries using LIMIT MAX to specify LIMIT 2000 by February 5th. This will ensure they continue to behave as expected after the limit increase.

CodeStream simplifies access to performance insights in your IDE with unified identity

Thu, 25 Jan 2024 00:00:00 +0000

New Relic CodeStream already lets you see relevant observability metrics right in your editor allowing you to stay head off performance issues before they hit production.

And now with unified identity, getting to those insights is easier than ever:

Install the CodeStream extension for your IDE.
Sign in using your New Relic credentials.

And that’s it! Now you access performance insights all the way down to the method-level so you can quickly identify issues before they hit production and accelerate your engineering velocity with shorter development cycles.

New Relic AWS Lambda Extension: Enhanced Community Collaboration and Support

Mon, 18 Mar 2024 00:00:00 +0000

The lightweight New Relic AWS Lambda extension runs alongside your AWS Lambda functions and allows you to collect, enhance, and transport telemetry data from your AWS Lambda functions to New Relic automatically, without requiring an external transport such as CloudWatch Logs or Kinesis.

Did you know that the New Relic AWS Lambda extension follows a “Community plus” approach? This means it benefits from a collaborative development process with active community involvement.

Let’s dive into what this entails for you:

Active maintainers: A dedicated team of engineers within New Relic maintains this project, ensures the extension's stability, and provides continuous improvement.
Open development: The code is on GitHub, welcoming your contributions through issues and pull requests.
Community support: The New Relic Explorers Hub, a vibrant community forum, is your one-stop shop for troubleshooting with fellow users and enthusiasts.
Comprehensive documentation: Everything you need to get started and leverage the extension's full potential is readily available in the project repository itself.

Analyze errors and root cause faster with errors inbox enhancements for OpenTelemetry

Mon, 11 Mar 2024 00:00:00 +0000

The error tracking team is excited to announce an exciting improvement to OpenTelemetry’s error tracking experience. This update empowers you to analyze errors with greater efficiency and pinpoint root causes faster.

Group and Filter Errors for Deeper Insights:

The new Group Errors tab lets you dynamically organize your span errors based on specific attributes. By default, errors are grouped by error.group.nameand error.group.message.

You can also customize grouping by any relevant attribute, like host name, to uncover hidden patterns and identify common error sources.

Drill Down for Efficient Triage:

Selecting a specific error group within the Group Errors tab takes you to a detailed drilldown page. Prioritize troubleshooting by quickly identifying errors with available stack traces, which offer valuable clues to the cause of the issue and further refine your analysis by filtering based on any relevant attribute.

As OpenTelemetry’s semantic conventions continue to evolve, the error tracking team will continue to make improvements to the OpenTelemetry error tracking experience to provide even more powerful insights into your application health.

New Relic AI monitoring is now generally available

Tue, 26 Mar 2024 00:00:00 +0000

We’re happy to announce that the industry’s first APM for AI, New Relic AI monitoring, is now available to all our customers.

New Relic AI monitoring gives you deep insights and unprecedented visibility across your entire AI stack, so you can build and run AI applications with confidence. You can now take advantage of:

Auto instrumentation: New Relic agents come equipped with all AI monitoring capabilities, including full AI stack visibility, response tracing, model comparison, and simplified set-up for popular AI frameworks like OpenAI, Bedrock, and LangChain across Python, Node.js, Ruby, and Go languages.
Full AI stack visibility: Holistic view across the application, infrastructure, and the AI layer, including AI metrics like response quality and token counts. View all this alongside APM golden signals.
LLM response overview with end-user feedback: Quickly identify trends and outliers in LLM responses with a consolidated view. Sentiment analysis and actual user feedback are now displayed alongside AI responses, empowering you to prioritize areas for improvement, ensure unbiased outputs, and maintain user trust.
Deep trace insights for every response: Trace the lifecycle of complex LLM responses built with tools like LangChain to fix performance issues and quality problems such as bias, toxicity, and hallucination.
Enhanced data security: Safeguard sensitive data (PII) sent to your AI application with the new drop filter functionality that allows you to selectively exclude specific data types from monitoring, ensuring compliance and protecting user privacy.
Optimized model performance and cost: Compare performance and cost across models or services in a single view to choose the model that best fits your need.

Changes to entity GUIDs for hosts instrumented with OpenTelemetry

Fri, 16 Feb 2024 00:00:00 +0000

On March 27, 2024, the entity.guid value for hosts captured by the OpenTelemetry collector will change. This change only affects customers who use OpenTelemetry to instrument their infrastructure hosts.

What's changing?

On March 27, 2024, a backend change will regenerate values assigned to entity.guid in our database.
This change applies to customers who use the OpenTelemetry agent for instrumenting hosts. This change doesn’t affect other hosts instrumented with our other agents.
If you’ve created alerts and custom dashboards that use a defined, hardcoded value for entity.guid, then those alerts and dashboards will stop working.

Next steps

We recommend updating your dashboards and alert conditions ahead of the change using alternative attributes to identify your hosts. You can use these attributes instead:

host.name
host.id
entity.name

If you can't update your alert conditions or dashboards with alternative attributes, then we recommend updating entity.guid with the new value after the change on March 27, 2024.

For more information on entity GUIDs, refer to our documentation about New Relic entities.

Upgrade your Java agent to v8.8.0 to avoid impacts to your alerts/dashboards.

Wed, 24 Jan 2024 00:00:00 +0000

Starting with Java agent version 7.6.0, we introduced new standard attributes for HTTP status code: http.statusCode and http.statusText The old attributes httpResponseCode response.status and response.statusMessage were marked as deprecated and have been completely removed in versions 8.0.0 through 8.7.0. This means any alerts or dashboards relying on these old attributes will stop functioning, potentially leading to missed alerts and inaccurate data.

In version 8.8.0, the deprecated attributes were re-introduced with a compatibility flag so if you are still relying on those attributes you can continue to use them.

What you need to do:

Option one: update your agent to v8.8.0:

The simplest solution is to update your agent for the impacted entities to the latest version, v8.8.0, which reintroduces the older attributes for backward compatibility.

Option two: update your alerts/dashboards:

Alternatively, you can update your existing alerts and dashboards to use the new standard attributes. Our migration guide provides clear instructions

Please reach out to New Relic Support or your account team if you have any questions.

Live archives GA

Wed, 21 Feb 2024 00:00:00 +0000

Live archives is our long-term logs storage solution that lets you meet compliance requirements by storing log data for up to seven years. Using an active, hydrated, and enriched state, live archives helps you analyze historical logs faster and easier than before.

Solution benefits and capabilities

Instant access: Access archived logs instantly, because they never leave the New Relic Database (NRDB). Analyze your archived logs alongside your other logs, using the same UI and workflows with no extra work.
Eliminate toil: Live archives removes processes that stand between you and your logs. Worry less about rehydrating, reloading, and re-indexing logs, or moving data across multiple locations and tiers. When you need to respond to compliance or audit requests, live archives ensures your logs are right where you expect them to be, without any additional steps.
Reduce costs: Live archives eliminates the need to pay for ingress and egress, indexing, reformatting data, or the need for additional tools to manage compliance risks.

How to get started

New Relic live archives simplifies the way you approach long-term logs storage and analysis. Ready to streamline your logs process? Follow these steps:

Send logs: Send your logs to New Relic.
Set retention periods: Choose a retention period from 120 days up to seven years. This depends on your compliance needs.
Choose a partition to archive: You don't need to archive every log for compliance. Your New Relic administrator can select specific log partitions for archiving.
Query data in the logs UI: Live archives logs are queryable alongside your other logs and telemetry data.
Manage user permissions: To query your live archives, have a New Relic administrator assign you a custom role with query capability.

Try the new and improved querying interface

Mon, 12 Feb 2024 00:00:00 +0000

Engineers need intuitive and fast access to telemetry data to make informed decisions about their applications and systems. That's why we've redesigned the Query Your Data UI to be more convenient, powerful, and helpful, so you can go from question to insight faster.

Starting today, you can try the new query experience. To try it out, go to the query your data capability and select the “Try it out” button in the banner.

The new UI combines the chart editing features of the old query builder with the portability of the old NRQL console. The enhanced user interface helps you:

Explore your data with context. Troubleshoot faster with a persistent query bar as you navigate across the platform.
Get Insights for all, no NRQL necessary. Generate queries using natural language and empower every team member to get answers from data.
Visualize anything, connect everything. Easily pull data from across your accounts, build charts with multiple queries, and add them to custom dashboards for precise insights.

Watch the demo video below for more tips and tricks on using the new querying interface.

New features include:

An expandable query bar at the bottom of the screen to work in context
See the data behind charts across the platform with the “view query” button
Keep your query as you navigate across New Relic
Cross-account queries for up to five accounts
Natural query language powered by New Relic AI
Resizable query blocks for long queries
Recommended queries for a jumpstart in exploring your data
Keyboard shortcuts to speed up your experience

Note: The new experience does not modify URLs, so you must use the “Copy permalink” button rather than copying the browser URL to get the query link.

Try the new query your data experience now.

Track the carbon footprint of your on-prem infrastructure with the Hardware Sentry integration

Tue, 27 Feb 2024 00:00:00 +0000

Hardware Sentry is Sentry Software's native OpenTelemetry solution that offers granular visibility into the health, power consumption, electricity costs, and CO2 emissions of on-prem IT infrastructure.

Now, you can use the Hardware Sentry quickstart to track sustainability metrics along with performance and health metrics for your on-prem hosts in a pre-built New Relic dashboard. In addition, by monitoring the energy usage of your hosts to quantify Watt-hours, dollar cost, and CO2 emissions, this integration helps you understand the financial and ecological footprint of your infrastructure.

With this new integration, you can:

Monitor complex and heterogeneous IT infrastructures: Monitor processors, memory modules, disks, network cards, and more to streamline on-premise IT infrastructure diagnosis and troubleshooting processes.
Analyze energy consumption: Effortlessly assess energy efficiency across multiple data centers using daily, monthly, or yearly power consumption metrics, without the need for costly smart power distribution units.
Improve environmental transparency: Monitor, assess, and report on CO2 emissions tied to data center energy consumption, enhancing visibility on organizations' environmental impact.
Optimize cooling expenses: Identify ideal data center temperature configurations to safely and efficiently reduce cooling costs.

The integration also includes built-in alerts to stay on top of changes to important indicators like battery charge, devices in failing or warning states, non-responsive hosts, low disk endurance utilization and more.

Next Steps

Install the Hardware Sentry quickstart from New Relic Instant Observability
Read the documentation
Read the Sentry Software blog

CodeStream brings the power of New Relic log search and query experiences right to your IDE

Tue, 20 Feb 2024 00:00:00 +0000

New Relic CodeStream now enables you to search logs and execute queries directly in your IDE, providing powerful access to all the performance data about your services right where you code:

Faster root cause analysis with log search: Get to the root cause faster without context switching. Log search lets you work directly from any line of code, and automatically extracts the string where the cursor is positioned.
Instant access to data insights with NRQL query builder: Access all performance data in the new editor tab, then choose your chart type and export data as CSV or JSON.

Launching the Compute Add On SKU

Wed, 28 Feb 2024 00:00:00 +0000

The Compute Add On SKU enables you to configure and use all of New Relic’s newest innovations, including our recently-launched Live Archives and IAST, while remaining on the data and user model.

You can now adopt our newest capabilities metered in Compute Capacity Units (CCU), without needing to migrate to New Relic Compute, and benefit from:

Flexibility: Option to stay on the data and user model and get access to new use cases via a single SKU.
Metering consistency: The same CCU metering applies to all new capabilities, including tracking, billing, invoicing, and reporting.
Governance: The same Compute Management UI is available when you use the add-on, enabling you to understand, monitor, and control your usage.
Simplicity: The add-on removes the complexity around purchasing separate SKUs, and if you are on a multi-year data and user contract, you can access net new use cases via a single amendment.
Usage forecasting: Get the same value out of existing usage forecasting tools, enabling you to estimate future usage for new capabilities.

Next steps

To learn more about pricing for the Compute Add On, check out our documentation.

Enhanced AWS CloudWatch metrics for serverless functions

Thu, 04 Apr 2024 00:00:00 +0000

We have enhanced CloudWatch metrics to provide richer insights into performance, health, and behavior of your serverless functions. This will empower you to optimize efficiency and proactively manage your serverless applications.

Previously, CloudWatch metrics allowed you to monitor invocation count, duration, errors, and throttling. Now, we've added a range of new metrics to provide even more granular insights:

Performance:
- Throughput: Track the number of function invocations per second.
- Memory Size: Monitor the memory allocated to your functions.
- Latency: Measure the time it takes for your functions to return a response.
Provisioned concurrency:
- Provisioned concurrency executions: Understand how often your provisioned concurrency is being utilized.
- Spillover invocations: Identify when your invocations exceed provisioned concurrency limits.
Function:
- Cold start count: Track the number of times your functions experience a cold start.
- Cold start time: Measure the duration of your functions' cold starts.
- Async event dropped and received: Monitor for dropped and received asynchronous events.
- Async event age: Gain insights into the age and processing time of received events
- Timeouts: Identify functions exceeding their allocated execution time.

These new metrics, along with existing ones, empower you to:

Optimize function efficiency: By analyzing throughput, memory size, and latency, you can identify areas for improvement and optimize your functions for better performance.
Gain deeper insights into provisioned concurrency: The new metrics provide a clearer picture of how your provisioned concurrency is being used, allowing you to make informed decisions about scaling.
Troubleshoot function issues: Cold start counts, times, and async event drops will help pinpoint issues related to function initialization and asynchronous processing.

Simplify crash analysis with New Relic Mobile User Journeys

Thu, 11 Apr 2024 00:00:00 +0000

Limited visibility into user interactions before a crash can severely restrict your ability to diagnose errors, understand their root causes, and identify patterns and trends in recurring issues, ultimately preventing you from proactively optimizing the user experience across mobile applications.

To overcome these challenges, we are thrilled to announce New Relic Mobile User Journeys, an integral part of our Digital Experience Monitoring (DEM) solutions. This update goes beyond reactive measures by providing a comprehensive view of every user interaction leading up to a crash, thereby enabling teams to anticipate and prevent potential disruptions before they affect the user experience.

Overview

Thanks to advanced analytics and pattern recognition, New Relic Mobile User Journeys offers unparalleled precision in streamlining the identification of trends and crash patterns. It features:

Instant visualization of crash patterns: Visualize all user journeys leading up to crashes, facilitating the identification of common sequences and root causes. This enables rapid pinpoint of commonalities, faster resolutions, and enhanced user experiences.
Analysis of crashes in context: With a single click, gain deep insights into any user action leading up to the crash, including app version, device, OS, and carrier, to identify issues specific to certain configurations.
Tracing of individual user journeys: Speed up issue resolution by pinpointing the exact user action that triggered an error. Analyze the event trails of users who experienced crashes to quickly identify and address the root cause, ensuring proactive issue resolution.

New Relic Mobile User Journeys represents a significant advancement in our mission to offer holistic observability solutions. It equips teams with the necessary tools to foresee, analyze, and rectify issues before they escalate, setting a new standard for proactive DEM.

Update to the new synthetic monitor runtime to prevent impacts to your synthetic monitors

Mon, 22 Apr 2024 00:00:00 +0000

On October 22, 2024, New Relic will end-of-life (EOL):

The Containerized Private Minion (CPM) capability
Legacy synthetic monitoring runtimes, including our legacy Chrome 72 (or older) and Node version 10 (or older) runtimes

Update to the latest runtimes by following procedures in our transition guide, or by contacting support.

The new runtimes improve on our legacy runtime environment, including but not limited to these changes:

Updating to the new runtime will remove certain CVE findings that cannot be resolved due to the legacy runtime design and backward compatibility requirements of the Containerized Private Minion (CPM)
Support for newer Chrome and Node.js versions, including easier upgrade paths
More frequent browser version updates
Access device emulation and other new capabilities

What you need to do

All customers must be on the new runtime by October 22, 2024 in order to prevent synthetic monitoring degradation from occurring.

Below are some notes about how the update affects your public or private locations.

For public locations

New Relic will update all broken link and certificate check monitors to the new runtime.
Customers should update their scripted API, scripted browser, and step monitors to the new runtime using the runtime upgrade UI before October 22, 2024.
- If you do not update, we’ll force update your monitors to the new runtime on the EOL date. This may result in check failures and triggered alerts.
- Remember to use the test results from the runtime upgrade UI to determine the monitors that may require modifications before updating to the new runtime.
As of August 26, 2024, customers will be unable to create new monitors using legacy runtimes on public locations.

For private locations

Customers should update to our new job manager, which provides support for our new runtime on private locations. If not, your monitors will stop running at the EOL date.
Once you're using the new job manager, customers should update their monitors to the new runtime using the runtime upgrade UI. This includes all non-ping monitor types.
- If you do not update, we'll force update your monitors to the new runtime. This may result in check failures and triggered alerts.
- Remember to use the test results from the runtime upgrade UI to determine the monitors that may require modifications before updating to the new runtime.
On April 5, 2024, we added support for advanced features of the Containerized Private Minion (CPM) to the Synthetics Job Manager:
- Verified script execution (VSE)
- Custom environment variables
- Custom node modules
Customers will be unable to create new monitors using legacy runtimes on private locations as of August 26, 2024.

Links to additional resources

New Relic Session Replay Limited Preview Ends May 14, 2024

Mon, 15 Apr 2024 00:00:00 +0000

New Relic session replay lets you identify and resolve problems faster, enhance user experiences, and gain deep insights into how users interact with your page. Session replay will be generally available on May 15th.

On May 15th, data captured with session replay will appear in your overall monthly product usage and be charged per your existing order.

With New Relic session replay you can get:

Detailed video-like playback of user actions to quickly identify bottlenecks and pain points in the user journey.
Access granular traces and error details to identify the exact code responsible for performance issues and get to the root cause faster.
Manage user privacy with client-side privacy obfuscation and encryption to help ensure the security of their data.

Next steps

Continue using session replay: No action needed if you're already using session replay. Starting May 15th, your bill will reflect session replay in your monthly product usage.
Monitor usage: Track your consumption within browser application settings to understand your data ingest related to session replay.
Adjust sampling rates: Reduce the number of users sessions recorded by modifying the sampling rate in your browser application settings. This will decrease data ingestion and its corresponding costs, if necessary.
Opt-out: Turn off the toggle in your browser application settings if you no longer wish to use session replay.

View ANSI colors in logs

Mon, 22 Apr 2024 00:00:00 +0000

The records you view in the Logs UI are now color coded. This new addition displays log text in ANSI supported colors.

When a log line is ingested that has ANSI color codes attached to a log attribute, that log line is parsed and displayed automatically in the log table with the ANSI codes respected. You do not need to add additional parsing rules—just ensure that proper unicode escape characters are used in the logs. If no ANSI color codes are supplied at ingest, then the log line will be displayed in the default color of the log table.

Example log:

{
  message: "\u001b[36m Sample ANSI message \u001b[0m",
  logType: "sample"
}

Once the logs are ingested, go to the Logs UI where you'll see your log lines with their respective ANSI colors. Note: this update supports the extended 256 ANSI color set.

For more information on ingesting logs, read the Forwarding logs documentation.

A screenshot of an example log with ANSI color coding.

Important permission update for sharing charts

Tue, 16 Apr 2024 00:00:00 +0000

We've made improvements to our existing Get Chart Link feature. These changes take effect on April 30th, 2024.

What's changing?

We've improved Role-Based Access Controls (RBACs) for Pro and Enterprise accounts. If you're a user from Pro or Enterprise account, you can expect these changes:

Admins receive new permission options to allow certain users to view, create, and revoke chart links.
Other users gain access to these permissions via admins. The access is only possible through custom roles created by admins configuring the new capability. Read more about configuration in our documentation.
Your existing links within your account will continue to work. If you want to delete or disable any of these existing links, review the Data share section of our Manage Your Dashboard Documentation documentation.

What do you need to do?

Review your user permissions so the right user roles have access to creating or revoking live chart URLs when the new capabilities become effective on April 30th:

To update your user permissions in the UI: From one.newrelic.com, click User menu in the lower right, then go to Administration > Access management > Role.
You can learn more about updating your account settings at our Introduction to account settings doc.
You can use NerdGraph to list and revoke live chart URLs as needed.

Why did we make these changes?

We're updating our chart sharing features to improve security controls for customer accounts and their admins.

Java agent v8.10.0 may impact normal operations of your applications

Fri, 26 Apr 2024 00:00:00 +0000

We've identified a potential bug in the New Relic Java agent version 8.10.0 that can lead to higher CPU and memory usage and potentially impact normal operations of your application.

Upgrade to version 8.11.0

This issue is resolved in the subsequent agent release (version 8.11.0). Upgrading to this version is the recommended solution to resolve the issue and gain access to the latest platform features. For more information about this release, please review our doc.

If you can't upgrade

If you’re unable to upgrade immediately, you can temporarily turn off the instrumentation by adding the following flag:

  -Dnewrelic.config.class_transformer.com.newrelic
    .instrumentation.httpurlconnection.enabled=false

Note: Turning off the instrumentation is a temporary measure and not a substitute for upgrading. It will prevent the recording of external client calls, which may impact your application performance monitoring (APM) capabilities.

New Vulnerability Management enhancements

Fri, 26 Apr 2024 00:00:00 +0000

Our latest updates to Vulnerability Management expand language support, access controls, and prioritization insights:

PHP

PHP language support is now enabled within Vulnerability Management. Starting with PHP agent version 10.17.0.17, customers with access to New Relic Vulnerability Management can now view CVEs (commmon vulnerabities and exposures) in PHP applications related to packages from the following frameworks: Drupal, Guzzle, Laravel, PHPUnit, Predis, Slim and Wordpress.

More details around supported packages and versions can be found on the Vulnerability Integrations page in our docs.

RBAC (role based access control)

Account admins on Pro or Enterprise plans may use RBAC to restrict which users have access to read vulnerabilities on their account. If a user does NOT have this permission, they will be unable to access Vulnerability Management. More details around all permissions can be found in our User permissions docs.

Enhanced prioritization analytics

Vulnerability Management now provides additional security analytics to help users quickly and accurately prioritize which risks need to be fixed first:

In addition to CVSS (Common Vulnerability Scoring System) data, Vulnerability Management now features EPSS (Exploit Prediction Scoring System) data, which rates the probability that a vulnerability will be exploited in the wild. In these cases, there are known instances of threat actors taking advantage of the vulnerability, which would elevate the severity of the vulnerability.
Vulnerability Management now also includes Active Ransomware data. This indicates if the vulnerability has been used in known ransomware campaigns. The severe impacts of ransomware incidents make these vulnerabilities a high priority.

More details around the prioritization data can be found in our Vulnerability Management docs.

Browser session traces billing update effective June 10, 2024

Wed, 08 May 2024 00:00:00 +0000

Session traces provide a detailed timeline of events and interactions during a web page's full lifecycle so you can troubleshoot errors, page load times, or web app performance. Starting June 10, 2024, session trace data will contribute to your overall monthly product usage. This means it will be charged per your existing order. This change reflects the storage upgrade to the New Relic database (NRDB), which enables longer data retention and improved performance.

We're also providing you with increased control over session trace data collection and associated costs starting May 8:

Monitor consumption: See the docs to track your data usage related to session traces.
Adjust the sampling rate: Reduce the number of tracked sessions by modifying the sampling rate in your browser application settings. This will decrease data ingestion and its corresponding costs. You may do this beginning May 8, as you’ll want to better understand your session trace footprint before making adjustments.
Disable session traces: Session traces can be entirely disabled through the browser application settings if you no longer require access.

If you make no changes, we’ll continue collecting up to 90 session traces per hour per browser entity.

Gain in-depth performance insights into serverless functions instrumented with OpenTelemetry

Tue, 30 Apr 2024 00:00:00 +0000

We're excited to announce deeper integration between OpenTelemetry and Lambda functions! This update brings the granular insights of invocations and CloudWatch metrics directly into your Lambda entity instrumented with OpenTelemetry, empowering you to easily monitor and analyze your serverless functions.

Lambda Invocations Gain a complete picture of each execution, including duration and the triggering event source (API Gateway, DynamoDB, etc.) to analyze your Lambda functions' performance.

CloudWatch Metrics Integration CloudWatch metrics are now integrated with OpenTelemetry to provide valuable insights into the health of your Lambda functions. Monitor critical metrics like invocation frequency, execution duration, errors, throttling events, concurrent executions, and even dead letter queue failures (if configured).

By monitoring this comprehensive data set, you can:

Optimize Function Efficiency: Identify areas for improvement and streamline your Lambda functions for peak performance.
Troubleshoot Issues Quickly: Pinpoint and resolve problems as soon as they arise, minimizing downtime and ensuring smooth operation.
Proactive Monitoring with CloudWatch Alarms: Define custom thresholds and configure CloudWatch alarms to receive notifications when critical metrics exceed pre-defined limits, allowing you to proactively manage your serverless applications.

Tabs for query builder

Thu, 16 May 2024 00:00:00 +0000

Interacting with multiple queries just got easier! We've added tabs to the new query builder, allowing you to explore data, build queries, and troubleshoot more efficiently.

Combine the power of the new querying UI with tabs to easily navigate the New Relic platform and uncover data insights without losing context.

The new tabbed query builder streamlines your querying experience so you can get more insights without sacrificing speed. Exciting improvements include:

No more lost queries. Explore the platform without the fear of overwriting the queries you've built.
No more browser tab switching. Keep multiple queries in one easy-to-navigate window.
Tab management made easy. Organize your insights by naming your tabs.
Faster loading. Switching between queries is snappier than ever thanks to improved caching.

Click on the ⌄ icon beside your tab name to quickly organize your tabs.

Get started

To get query tabs, you'll need to update to the new querying interface. It provides an expandable persistent query which lets you query your data in context, even if you don't know how to use NRQL.

Go to the query your data capability and select the Try it out button in the banner.

Model inventory is now part of New Relic AI Monitoring

Wed, 12 Jun 2024 00:00:00 +0000

New Relic AI monitoring gives you deep insights and unprecedented visibility across your entire AI stack, so you can build and run AI applications with confidence. The latest addition to AI monitoring, model inventory, offers a unified and comprehensive view of key model metrics across all models. This makes it easy to isolate and troubleshoot any model-related performance, error, or cost issues. With model inventory:

Gain holistic view of your model data: Overview the requests, token usage, and completions across models for all services and accounts, ensuring complete visibility and control.
Analyze performance at a glance: Instantly understand the total number of requests per model and average response time, allowing you to quickly identify and optimize underperforming models.
Pinpoint errors faster: Easily isolate the most common errors and models with the highest error rates, facilitating efficient root-cause analysis and faster resolution.
Improve cost effectiveness: Understand token usage per model, including breakdowns for prompt and completion tokens, and identify opportunities for cost-saving through methods like prompt engineering.
Customize how you view your data: Easily filter data by service, request, or response to gain even deeper insights and tailor your analysis to specific needs.

Streamline log parsing

Tue, 11 Jun 2024 00:00:00 +0000

While New Relic applies built-in parsing rules during the ingestion of logs into the New Relic platform, you may want to create additional parsing rules yourself. Logs parsing just became easier for both types of parsing at New Relic:

Ingest parsing: These are rules that create permanent changes in your logs and are based on Grok rules. In the past, you had to create your own Grok rules, but now we can create these complex rules for you with our New Relic AI assistant.
Query time parsing: We generate temporary parsing rules written in NRQL as you make log selections in our UI.

Ingest parsing with AI assistance

We are expanding our public preview for our AI-powered ingest to allow you to parse your logs using automatically generated Grok rules. New Relic AI can help you create and troubleshoot parsing rules by:

Suggesting parsing rules: When you create a parsing rule in the UI, ask NRAI to create the parsing rule for you.
Explaining parsing rules: If you don't understand the parsing rule our AI suggests, you can ask AI to explain the rule and suggest an even more efficient one if available.

Ask AI to help you generate Grok patterns for ingest parsing.

To try the new AI-powered log parsing capability, join our public preview:

Go to the user menu at the bottom left of the New Relic UI.
Click the Features tab.
Scroll down to the New Relic AI section and click Enable.
Give Us Feedback by following the option under the Help pulldown.

Query time parsing rules

New Relic's query time parsing feature allows you to select any string from your log file and then parse out repeatable values, reducing the time it takes to create queries. We do all the work for you by creating the NRQL query as you make selections from your logs in the UI.

To get started:

Use query time parsing to extract the value from a string for easy querying.

Update to the new synthetic monitor runtime to prevent impacts to your synthetic monitors

Wed, 26 Jun 2024 00:00:00 +0000

Reminder - On October 22, 2024, New Relic will end-of-life (EOL):

The Containerized Private Minion (CPM) capability
Legacy synthetic monitoring runtimes, including our legacy Chrome 72 (or older) and Node version 10 (or older) runtimes

Update to the latest runtimes by following procedures in our transition guide, or by contacting support.

The new runtimes improve on our legacy runtime environment, including but not limited to these changes:

Updating to the new runtime will remove certain CVE findings that cannot be resolved due to the legacy runtime design and backward compatibility requirements of the Containerized Private Minion (CPM)
Support for newer Chrome and Node.js versions, including easier upgrade paths
More frequent browser version updates
Access device emulation and other new capabilities

What you need to do

All customers must be on the new runtime by October 22, 2024 in order to prevent synthetic monitoring degradation from occurring.

Below are some notes about how the update affects your public or private locations.

For public locations

New Relic will update all broken link and certificate check monitors to the new runtime.
Customers should update their scripted API, scripted browser, and step monitors to the new runtime using the runtime upgrade UI before October 22, 2024.
- If you do not update, we'll force update your monitors to the new runtime on the EOL date. This may result in check failures and triggered alerts.
- Remember to use the test results from the runtime upgrade UI to determine the monitors that may require modifications before updating to the new runtime.
As of August 26, 2024, customers will be unable to create new monitors using legacy runtimes on public locations.

For private locations

Customers should update to our new job manager, which provides support for our new runtime on private locations. If not, your monitors will stop running at the EOL date.
Once you're using the new job manager, customers should update their monitors to the new runtime using the runtime upgrade UI. This includes all non-ping monitor types.
- If you do not update, we'll force update your monitors to the new runtime. This may result in check failures and triggered alerts.
- Remember to use the test results from the runtime upgrade UI to determine the monitors that may require modifications before updating to the new runtime.
On April 5, 2024, we added support for advanced features of the Containerized Private Minion (CPM) to the Synthetics Job Manager:
- Verified script execution (VSE)
- Custom environment variables
- Custom node modules
Customers will be unable to create new monitors using legacy runtimes on private locations as of August 26, 2024.

Links to additional resources

New Relic AI monitoring now integrates with NVIDIA NIM inference microservices

Mon, 24 Jun 2024 00:00:00 +0000

Building, deploying, and monitoring generative AI applications is complex. This is where NVIDIA and New Relic can provide a streamlined path for developing, deploying, and monitoring AI-powered enterprise applications in production.

NVIDIA NIM is a set of inference microservices that provides pre-built, optimized LLM models that simplify the deployment across NVIDIA accelerated infrastructure, both in the data center and cloud.

New Relic AI monitoring now integrates with NVIDIA NIM to help engineers quickly troubleshoot and optimize the performance, quality, cost of AI applications, ultimately helping organizations adopt AI faster and achieve quicker ROI.

Full AI stack visibility: Spot issues faster with a holistic view across apps, NVIDIA GPU-based infrastructure and AI layer.
Deep trace insights for every response: Fix performance and quality issues like bias, toxicity, and hallucinations by tracing the entire lifecycle of AI responses
Model inventory: Easily isolate model-related performance, error, and cost issues by tracking key metrics across all NVIDIA NIM inference microservices in one place
Model comparison: Compare the performance of NVIDIA NIM inference microservices running in production in a single view to optimize model choice.
Enhanced data security: In addition to NVIDIA’s self-hosted model’s security advantage, New Relic allows you to exclude monitoring of sensitive data (PII) in your AI requests and responses

Manage vulnerabilities with new “Ignored” feature

Wed, 05 Jun 2024 00:00:00 +0000

Vulnerability Management now allows you to remove noncritical vulnerabilities from views by assigning individual entities the Ignored status so specific vulnerabilities no longer appear in default views. This can reduce the volume of vulnerabilities that require your attention.

If you're in DevSecOp, this option let's you claim back time spent triaging and remediating noncritical vulnerabilities by providing industry-leading prioritization capabilities and the ability to customize vulnerability notifications so you can focus on those risks that matter.

Key Capabilities:

Ignore specific or groups of entities: Vulnerability Management users can ignore vulnerabilities for a specific entity or ignore a vulnerability across multiple instances. Once the status of an instance is set to Ignored, this instance will be excluded from the summary tiles and vulnerability list by default.
Audit documentation: When choosing to ignore a vulnerability, users are prompted to explain the rationale behind the decision for audit and compliance purposes.
Summary Reporting: Ignored vulnerabilities can be viewed with the filter bar for summary reporting and audit checks.
Configure time settings: The Ignored status duration can be set for a specific time period or manually removed.
Manage vulnerability status: Changing the status from Ignored to Affected reintroduces the vulnerability back into default views and counts on this entity, but other instances of this vulnerability on other entities will still remain ignored.

Automatically monitor APM and Kubernetes with the New Relic Kubernetes agent operator

Tue, 02 Jul 2024 00:00:00 +0000

Achieving full stack observability for containerized applications is a challenge. Usually, you need to install and manage separate agents for both applications and Kubernetes. This creates friction within CI/CD pipelines, where managing deployments across large fleets becomes complex and time-consuming.

New Relic K8s agent operator(now in preview) streamlines full-stack observability for Kubernetes environments by automating APM instrumentation alongside the Kubernetes integration deployment. It currently supports Java, Ruby, Python, .NET, and Node.js, with additional languages coming soon. With the K8s agent operator you get:

One step APM and K8s instrumentation: Simple installation using a helm chart and one-time setup for auto-instrumentation for both APM and Kubernetes.
Simple agent upgrades: APM agents are automatically updated to the latest version(or a specific version)for new pods, based on the configuration of the instrumentation custom resource.
Empowered DevOps Teams: DevOps teams gain independence by automatically instrumenting APM agents without relying on app developers. This breaks down silos and accelerates achieving full-stack observability.

Data partitions now available in logs in context

Wed, 03 Jul 2024 00:00:00 +0000

We're bringing you more functionality to the data partition selection menu by making at available in logs in context views. You can now filter and query your logs by data partitions in APM, hosts, traces, and transaction views, just like you do in the main logs view.

Data partitions in logs in context

Make your workflow easier by filtering your logs by partition without having to switch to the main logs view. To view logs from specific partitions, open the data partition menu and select the partitions you'd like to see logs from. Then, just click Done!

You can access this feature from:

APM
Hosts
Traces
Transactions

For more info on how to use data partitions to improve your workflow, check out the docs page.

View logs in transaction trace details

Mon, 08 Jul 2024 00:00:00 +0000

You can now view logs related to span-based transaction traces directly in the transaction trace details view, making it easier to explore related logs without having to manually search through log data.

To get started, open the transaction trace details view for any span-based transaction trace and click the new Logs tab. A logs view will open where you can explore your logs related to the transaction trace. In addition, we’ve improved our logs in context views to show a timeseries of your logs by log level in a stacked bar chart.

A screenshot showing logs in the context of a transaction trace.

New Relic Digital Experience Monitoring(DEM): Unleash superior customer experiences and business growth

Wed, 10 Jul 2024 00:00:00 +0000

New Relic Digital Experience Monitoring(DEM) solution includes a suite of tools that helps businesses understand how users interact with their digital products (websites, mobile apps, etc.) so they can deliver flawless digital experiences and unlock business success. The latest advancements in New Relic Digital Experience Monitoring (DEM) equips you with a powerful set of new features which include:

Session Replay(now generally available):: The only solution that automatically captures 100% of critical user actions leading up to incidents, without the high cost of recording every session. Gain invaluable insights into user behavior and resolve issues faster with a video-like playback of user interactions alongside granular telemetry data.

Mobile User Journeys:: Gain an unparalleled view of your users' mobile app interactions. Go beyond basic page views with insights into breadcrumbs, HTTP events, and handled exceptions. Our unique solution eliminates event duplication and automatically generates dynamic, nonlinear sankey charts for a crystal-clear understanding of user journeys.
Mobile Logs:: Identify and address issues across the entire mobile ecosystem and ensure a seamless user experience with the most comprehensive mobile logs solution that will support both native platforms(Android, iOS and watchOS) and multiple hybrid frameworks.

New Relic’s fully integrated AI-driven, digital experience monitoring solution gives businesses the end-to-end visibility and insights they need to understand how users are interacting with their applications so that they can address bottlenecks, fix bugs, and design new features effectively and efficiently.

Native support for open standards

Tue, 23 Jul 2024 00:00:00 +0000

Analyzing OpenTelemetry and/or Prometheus metrics alongside the rest of your performance data typically requires significant expertise and effort to set up instrumentation and build custom dashboards. And then, you still have to manually correlate data across different screens.

We've eliminated those challenges with native support for hosts instrumented with either OpenTelemetry or Prometheus, as well as for Kubernetes clusters instrumented with OpenTelemetry. Our solutions give you easy instrumentation that populates native UIs with golden signals and automatically correlates application and infrastructure performance. You can now quickly detect and isolate issues using your preferred open source telemetry data with no vendor lock-in, in one place.

Capabilities

One-step instrumentation for Kubernetes clusters using the OpenTelemetry collector.
One-step instrumentation for Prometheus-instrumented hosts with Node Exporter.
Native UIs populated with OpenTelemetry and Prometheus-generated golden signals.
Automatic service and infrastructure relationship mapping to understand dependencies across your stack.
Automatic correlation between OpenTelemetry-instrumented applications and infrastructure resources to understand how the performance of each layer impacts each other.

Learn more

OpenTelemetry-instrumented Kubernetes and Prometheus-instrumented hosts

Configure titles templates for improved alert processing

Mon, 19 Aug 2024 00:00:00 +0000

With the latest update to our alert creation experience, you now have the ability to use any of the variable tokens available for the Incident event to customize the title templates of alert conditions. Previously, titles for alert conditions were automatically generated based on the name of the entity and the metric when an entity is present, or the alert condition name with the facet tags appended to it. With this update, you can make your incident titles more concise, descriptive, and distinct for more effective alert notification processing and navigation.

The title template uses the same {{variable}} syntax and incident event variables as the custom incident descriptions. For consistency, and forward compatibility, we have also simplified the label of the “Incident description template” field to “Description template”.

To get started: Configurable title templates are available for new alert conditions on the ‘Add details’ section of form for creating alert conditions, and on the bottom section of the alert conditions detail page. This field can also be edited using the alert condition APIs and in our latest Terraform provider. You can find more information in our documentation.

Synthetics now supports Firefox and multiple emulated devices

Mon, 12 Aug 2024 00:00:00 +0000

Simple browser, scripted browser, and step monitors can now be configured to test multiple browsers (Chrome and Firefox) and emulated device configurations (Desktop, Mobile, or Tablet). This allows you to improve synthetic monitoring coverage for the browser and device types used by your customers without needing to create duplicate synthetic monitors.

Get started

This exciting new capability is available for both new and existing synthetic monitors using our latest synthetic runtimes.

Private location requirements

Please update Synthetics Job Manager to release-400 and Synthetics Node Browser Runtime to v3.0.0 or newer to start using Firefox and multiple emulated device profiles on private locations.

Upcoming End-of-Life: Google Core Web Vital (FID)

Thu, 01 Aug 2024 00:00:00 +0000

New Relic will try to extend the reporting of FID until January 15, 2025 in the browser agent to help give customers more time to transition to INP. However, unexpected degradations may occur due to the Google FID EOL that occurred on September 9, 2024, and we recommend updating to use INP as soon as possible.

What you need to do

On September 9, 2024, Google is deprecating the FID metric, in favor of Interaction to Next Paint (“INP”). Since New Relic uses certain libraries and APIs that leverage the FID metric, you will need to take the actions below before September 9, 2024 to avoid inaccurate or unexpected behavior with dashboards, alerts, and service level reporting.

Action needed

To avoid inaccurate alerts, charts, and service levels, you must make the following changes before September 9, 2024:

Edit all custom dashboards using FID from the PageViewTiming event and replace with INP.
Edit any NRQL alert conditions using FID from the PageViewTiming event and replace with INP.
Edit any Service Levels using FID from the PageViewTiming event and use INP.

Resources for how you can identify which dashboards, alerts, and service levels use the FID metric can be found below.

Additionally, if you're using copy and paste browser instrumentation or are pinned to a version prior to version 1227, you must update the browser agent to version 1227 or higher to ensure that you have access to using the INP metric. To check which browser agent version you're on and for instructions on how to update your agent, please see our documentation. If you're using version 1227 or higher, you do not need to update your browser agent for this EOL; however, we recommend that customers keep all agents up to date.

Additional resources

Customers can use the following queries (either NRQL or via NerdGraph) to identify dashboards, alerts, and service levels that use the FID metric.

Dashboards

Use the NrdbQuery event query to find whether FID is being used in a custom dashboard.

SELECT uniques(source.dashboardId) FROM NrdbQuery WHERE query like '%firstInputDelay%' SINCE THIS WEEK

Alerts

Use the following alerts-specific NerdGraph query in your account to find whether FID is being used in a NRQL alert condition.

{
  actor {
    account(id: {account-id}) {
      alerts {
        nrqlConditionsSearch(searchCriteria: {queryLike: "firstInputDelay"}) {
          nextCursor
          nrqlConditions {
            id
            name
            nrql {
              query
            }
          }
        }
      }
    }
  }
}

Service Levels

Use the following browser monitoring and Service Levels-specific NerdGraph queries in your account to determine which SLIs are affected:

Get the GUID of all the browser monitoring apps that have SLIs:

{
  actor {
    entitySearch(
      query: "domain = 'BROWSER' AND type = 'APPLICATION' AND `tags.nr.has_slis` = 'true'"
    ) {
      results {
        entities {
          guid
        }
      }
    }
  }
}

For each of these browser monitoring apps, get the list of SLIs and check if in the WHERE clause of the query there is a reference to firstInputDelay:

{
  actor {
    entity(guid: "<browser_guid>") {
      serviceLevel {
        indicators {
          events {
            validEvents {
              where
            }
          }
        }
      }
    }
  }
}

Optimize AWS workloads faster, with one-step instrumentation and full stack observability

Thu, 15 Aug 2024 00:00:00 +0000

Building on AWS means navigating complicated architectures that make managing application uptime and performance difficult. And while AWS tooling can be helpful, you still need to gather the right telemetry for each resource, establish tagging for correlation, create the right dashboards, and set thresholds of acceptable performance. Even with these measures in place, teams often find it challenging to correlate data across applications and infrastructure to determine the cause of a performance issue.

New Relic’s intelligent observability platform gives you one place to correlate the performance of your AWS infrastructure and all your apps, so you can rapidly solve performance issues and manage your cloud resources and costs. And now, we’ve made it even easier to get started faster, with one-step onboarding, automatic dependency mapping (no manual tagging), and pre-built dashboards that provide contextual insight across your AWS environment.

New capabilities:

One-step onboarding: Get started faster with easy instrumentation and pre-configured dashboards for top AWS services using CloudWatch Metric Streams and polling.
Agentless EC2 monitoring: Correlate your EC2 instances with APM without the need to install or configure infrastructure agents.
One UI to monitor AWS: View AWS entities, cloudwatch metric streams, and polling on a single page, removing blindspots across your AWS environment.
Multi-account onboarding: Improve operational efficiency and costs by onboarding all of your AWS accounts in a single workflow.
Automatic relationship discovery and mapping: Understand the dependencies across applications and AWS infrastructure.

Watch the Data Byte to learn more

A screenshot showing the new onboarding option with cloudformation template and multi-cloud observability.

New Relic Pathpoint connects telemetry to business KPIs

Thu, 10 Oct 2024 00:00:00 +0000

New Relic has released a new version of Pathpoint, built on an entirely new code base that features significant enhancements and AI capabilities. First introduced in January 2024, our new version of New Relic Pathpoint helps different teams understand business health, from frontline teams like customer support and product managers to business analysts and C-level executives. New Relic Pathpoint provides deep business insights and a more intuitive user experience so you can visualize the stages, steps, and signals for different business journeys in complex environments. ```

New features include:

Intuitive UX: No-code, entity-centric UX that allows you to instantly add any signal, alert, and service levels to your business flows to simplify business analysis (no need for custom NRQL).
Multiple journey modeling: The ability to model multiple business journeys per instance for deeper insights in complex environments.
Playback mode: Track improvements and the state of your business stages over time so you can more proactively resolve issues.
Import and export with audit trails: Easily move journeys between instances with an audit log for less toil and better version control.
Automatically identify instrumentation gaps: Close blind spots and have a more complete view of your digital business processes.
AI driven insights: Fully integrated AI alerting and anomaly detection for real-time insights and fast root cause analysis.

Pathpoint is available as a New Relic open-source project, distributed under the Apache 2.0 license, and is included in our all-in-one observability usage-based pricing platform.

Check out our blog, or click here and start turning your data into business insights.

Global in-app help helps you connect the dots

Mon, 21 Oct 2024 00:00:00 +0000

New Relic has released an enhanced global in-app help system that seamlessly integrates contextual assistance and direct access to our support team, no matter where you are in the UI. This update consolidates all support features into one convenient location, ensuring you have the resources and expert guidance you need at your fingertips like:

Contextual in-app help: Quickly access relevant assistance directly within the application, for efficient problem-solving without leaving your current workflow.
In-app support case and forum search: Access a wealth of information and community insights and leverage shared knowledge to find solutions faster.
Access your support cases: Easily track and manage support queries, receive timely updates and directly communicate with our support team without leaving the UI.
Direct link to our docs site: Benefit from comprehensive and expertly curated documentation that provides detailed guidance, helping you maximize the potential of New Relic to achieve optimal results.
Useful keyboard shortcuts: Enhance your productivity with time-saving shortcuts that streamline your tasks.
What's New posts: Stay informed with the latest updates and features, ensuring you are always in the know about our latest tools and insights to drive innovation and growth in your projects.

Just click the ? and get immediate access to the global in-app help.

Forward logs from Kong Gateway to New Relic

Sat, 26 Oct 2024 00:00:00 +0000

Today’s IT organizations using Kong Gateway often struggle to gain comprehensive visibility into their API performance, health, and security which can lead to unexpected issues, downtime, and security vulnerabilities.

New Relic's integration with Kong Gateway, using the File Log plugin, provides a robust solution for:

Centralized logging: Kong Gateway logs are instantly contextualized with other application and telemetry data for a unified view.
Enhanced visibility: Gain deeper insights into API gateway performance, health, and security.
Proactive issue detection: Identify and address potential problems before they impact users.
Improved security: Monitor for security threats and anomalies.
Optimized performance: Identify and resolve performance bottlenecks before they impact uyser experience.

Forward Kong Gateway logs

The File Log plugin for Kong Gateway enables the forwarding of logs to New Relic by directing them to standard output (/dev/stdout). This setup allows New Relic’s Kubernetes logging plugin integration to collect and forward the logs.

Configuration setup

Follow these steps:

Step 1: Install the New Relic Kubernetes logging integration

Before configuring the File Log plugin, ensure you have the New Relic Kubernetes logging integration installed. Follow the instructions to set this up.

Step 2: Install and configure Kong File Log plugin

Once the New Relic Logging Integration is installed, configure the File Log to output logs to /dev/stdout . See an example of the manifest configuration file in the Configure the File Log plugin section.

Step 3: Apply the Log File Log plugin configuration

Deploy the File Log plugin configuration to your Kubernetes cluster using the following command:
```
kubectl apply -f file-log-plugin.yaml -n kong
```
Replace file-log-plugin.yaml with the actual filename of your manifest.

Step 4: Verify the configuration

After applying the configuration, verify that logs are being forwarded to New Relic by checking the New Relic Logs UI for entries from Kong Gateway.

By forwarding Kong Gateway logs to New Relic, organizations can effectively monitor and manage their API gateways, ensuring optimal performance and security.

To get started

Get insights faster with the new data explorer

Mon, 11 Nov 2024 00:00:00 +0000

The new default querying experience now includes an integrated data explorer, making it easier to get insights from all your data. With an intuitive, fully resizable point-and-click UI, the data explorer helps you better understand metrics, events, and logs--without having to manually write NRQL queries.

Understand your metrics

The data explorer acts as a metric catalog where you can easily view your metrics and explore their dimensions in a snap. Click the three dot menu to automatically generate a recommended query.

Plus, if you're working with OpenTelemetry, the data explorer will show descriptions to help you better understand your OTel metrics.

Explore your metrics and automatically generate a query with the data explorer.

Explore events

Browse all the NR events including your custom events. Know what every event and attribute is thanks to the integrated data dictionary.

See all logs

Explore all log partitions with an easy point and click interface that helps you create queries and explore all your attributes and values. You can even dive deeper into individual logs for additional details, without leaving your query.

Integrated with the new querying UI

Because it's built into the new query your data capability, you can access the data explorer from anywhere in the platform, without losing the context of what you are already working on. Plus, you can use up to 100 separate tabs to streamline your data exploration with multiple queries.

Learn more about the data explorer in the docs and watch the video below, or read our tips on how to make the most of the new query your data UI.

APM 360 now includes front end insights for full stack visibility

Tue, 12 Nov 2024 00:00:00 +0000

We're excited to announce that New Relic APM 360 now seamlessly integrates key browser telemetry data, giving you a holistic view of your entire application stack. This empowers you to monitor backend services (infrastructure, logs, transactions) alongside crucial user experience metrics – all in one place. With browser telemetry integration in APM 360 you can:

Pinpoint Front-End Issues: Track JavaScript error rates and identify the top error messages impacting your users. Drill down into individual errors, analyze stack traces, and see how many users are affected.

Gain User Insights: Leverage session replay to understand how users navigate your application. Open stacked views of recent sessions, identify potential roadblocks caused by errors, and filter for specific sessions based on your needs.

Optimize Web Performance: Gain valuable insights into core web vitals metrics, which directly impact user experience and SEO ranking. Monitor Largest Contentful Paint (LCP) scores and quickly see if your web app needs performance improvements.

Introducing One-Step Kubernetes with APM auto-attach

Mon, 02 Dec 2024 00:00:00 +0000

The dynamic nature of Kubernetes environments makes it complicated to monitor your application workloads, as the containers hosting those workloads frequently spin up and down. Developers must continuously modify their workloads and deploy agents to achieve full visibility and manage performance effectively. This process makes installing and managing the life cycle of APM and Kubernetes instrumentation cumbersome and time-consuming, which negatively impacts developer productivity.

New Relic extends one-step observability to Kubernetes for fast instrumentation and out-of-the-box, AI-powered insights. APM auto-attach automates APM instrumentation with Kubernetes deployments, eliminating the need for code changes. Instantly analyze your entire Kubernetes workload with pre-built dashboards that automatically correlate applications and Kubernetes on a single user interface, enabling faster performance management and more efficient troubleshooting.

Kubernetes APM Auto-attach capabilities:

One-step APM and K8s instrumentation: New Relic APM auto-attach provides simple installation and one-time setup for auto-instrumentation for both APM and Kubernetes.
Simple agent upgrades: APM agent versions can be automatically updated to the latest version (or any other) based on your needs.
No changes in the application manifest are needed: DevOps teams can fully manage and configure APM auto-attach without modifying the application's deployment manifest.
Agents supported: Java, Node.js, Python, Ruby, .NET and PHP.
Curated experience with out-of-the-box insights: New Relic’s Intelligent Observability Platform enables immediate troubleshooting with AI-powered, out-of-the-box insights that automatically correlate apps and Kubernetes data in a single UI, enabling any user to identify and resolve performance issues faster.

How to start

Depending on your choice you can install it by taking advantage of our K8s guided install which includes APM auto-attach or following the steps described in our public docs.

Guided install

The new K8s installation flows not only includes K8s APM auto-attach to be installed automatically but also provides guidance to inject the instrumentation CR needed to enable auto-instrumentation.

Click on Integrations & Agents on the left menu.
Select Kubernetes & containers collection listed in the bottom of the screen.
Finally, click on the Kubernetes tile to start the guided install.

Manual install

Depending on your needs you can install APM Auto-attach separately or as part of the Kubernetes integration.

After installing K8s APM auto-attach you just need to configure APM auto-instrumentation by deploying an instrumentation CR in the cluster.

In this section you will find complete information and examples.

Check our public docs for more information.

Monitor your Kafka Metrics with API Polling for Confluent Cloud Integration

Tue, 03 Dec 2024 00:00:00 +0000

We're excited to announce that you can now monitor the health of your Confluent Cloud Kafka Clusters. This can be done through the new Confluent Cloud integration via API Polling.

Confluent Cloud lets developers to focus on building applications, microservices and data pipelines, rather than on managing the underlying infrastructure. With this integration, you can now monitor your clusters, topics, and brokers with ease.

New Relic lets you create dashboards using this data. In February, we will release a public preview of a new feature called Messages Queues and Streaming, which provides out-of-the-box reports. This feature facilitates a seamless flow from clusters to topics and allow for a deep dive into any APM service utilizing Confluent Cloud for Kafka. Until then, all data are available for use, and custom dashboards can be created and saved. For more information on creating custom dashboards, see the documentation here.

Streamlined AWS logs onboarding with New Relic's one-step observability

Wed, 11 Dec 2024 00:00:00 +0000

We are thrilled to announce New Relic's latest advancement: one-step observability for AWS, now enhanced with streamlined log forwarding capabilities. Our comprehensive observability solution empowers enterprises by offering seamless integration and enhanced visibility into AWS services within minutes, all through a single user interface.

Key benefits of New Relic's log forwarding solution

Accelerate instrumentation: Set up instrumentation within minutes to forward logs and metrics, using CloudFormation templates and consolidated multi-service onboarding, all accessed through a unified interface.
Enhanced log management: After onboarding, New Relic's Intelligent Observability Platform automatically handles both infrastructure and application performance monitoring, eliminating the need for additional configurations and significantly improving operational efficiency.
Improve operational efficiency: Boost your team's operational efficiency while maintaining stringent security and compliance. New Relic's API keys can now be securely stored in AWS Secrets Management, optimizing operations to seamlessly achieve better business outcomes.
Reduced Mean Time to Resolution (MTTR): New Relic's centralized platform facilitates quick troubleshooting and speeds up incident resolution with a clear view of performance data and relationships across applications, infrastructures, and AWS services out-of-the-box.

How it works

CloudFormation Integration Setup: Effortlessly configures AWS integration by using the CloudFormation template. Forward metrics and logs by selecting an AWS service and setting up log triggers via S3 or CloudWatch.
Automatic data correlation: Automatically correlate performance data to prioritize and address critical issues, eliminating the complexity of manual tagging.
Comprehensive Data Querying: Easily access and analyze log data through the logs UI or New Query Explorer, filtering logs via the Lambda forwarder or Kinesis Data Firehose.

Getting started

Get started today to achieve a unified, holistic view of your AWS environment, enabling data-driven decision-making while ensuring security and compliance. Discover how New Relic's log management can boost productivity and help you securely scale your cloud-native applications.

Explore our platform to see how New Relic can transform your AWS observability strategy. For more details on setting up and configuring log forwarding, visit our log management guide or wathch the following step-by-step video:

New alert condition threshold type: stand-alone loss of signal

Tue, 03 Sep 2024 00:00:00 +0000

The loss of signal threshold capabilities have been extended and are now available as the sole threshold option for an alert configuration with any entity type. Previously, you could only configure a loss of signal threshold as an additional threshold value to any static or anomaly condition. What if you want an alert condition that is only monitoring the presence of a signal or data flowing though?

Create a stand-alone threshold

Now, you can create an alert condition with a stand-alone loss of signal threshold and specify how long the signal must be lost before opening a violation. The additional anomaly or static threshold(s) are optional.

The stand-alone loss of signal evaluation is similar to the way it works today in conjunction with static or anomaly conditions: There must be a signal that is detected first in order for the signal to meet the threshold of being “lost.” Entity status will function as it does today when a loss of signal occurs: An impacted entity will move into “critical” status when the signal is lost for the amount of time specified.

Here's what a stand-alone threshold for loss of signal looks like in the condition builder:

Manage expected terminations

We have also added a new feature to the loss of signal threshold that allows you to specify when a termination is expected. You can do this for entities with the termination: expected tag (formerly called clean shut down on host entities). This allows you to use a broad condition to evaluate many entities and avoid alerts from entities that do not have consistent signal-stop reporting.

Gain security insights with FOSSA in New Relic Vulnerability Management dashboard

Tue, 03 Dec 2024 00:00:00 +0000

We're thrilled to introduce the integration between New Relic and FOSSA, offering users enhanced security insights. This integration enables FOSSA users to view open-source vulnerability scan results directly within the New Relic Vulnerability Management dashboard, alongside other important security detections. This unified view allows for a more holistic approach to managing vulnerabilities across both build-time and runtime environments.

Why this is important

Users of New Relic and FOSSA now benefit from a comprehensive view of their vulnerabilities, alongside health and performance metrics, all within the same New Relic dashboard. This capability ensures that new and existing services meet production readiness compliance and security goals, enhancing overall service reliability and security posture.

Prioritize what to fix first and what can wait

By integrating FOSSA detections into the New Relic Vulnerability Management dashboard, users gain a centralized platform to:

Rate vulnerabilities: Utilize data on exploits in the wild and active ransomware threats to assess vulnerability severity.
Prioritize detections: Determine which risks require immediate attention and which can be deferred, optimizing resource allocation.
Avoid wasted effort: Prevent unnecessary developer workload by focusing on vulnerabilities that are actively performing in runtime environments.

This integration streamlines Vulnerability Management, allowing teams to focus on what truly matters and ensures that security measures are both effective and efficient.

Filter dashboards faster with template variable toggle

Tue, 10 Sep 2024 00:00:00 +0000

Template variables allow you to dynamically filter charts and widgets in your custom dashboards, making dashboards more adaptable for various use cases. Now, you have more flexibility when configuring variables with the Include variable toggle. It allows you to exclude variables that have been added to one or more widgets in a dashboard. You do not need to modify any queries.

How it works

Previously, when you used variables in widgets, your queries were limited to the values defined for that variable, which could be limiting in certain scenarios, such as missing values. This could result in incomplete data being shown in charts, even if you used the Select all values. Alternatively, a variable may have a very large number of values. Choosing to disable the variable by default will provide significant performance improvements.

Now, when you choose to exclude a variable, it's removed from the query and the condition is replaced with a neutral boolean value (either true or false). This ensures that your query remains valid and returns results for your dashboard. By excluding the variable, you can retrieve all values from the database.

How to configure variable exclusion

In your dashboard, click the edit button.
Then select + Add variable or click on a variable, and select Edit.
Now, you'll be able to see a toggle option to Include variable.

Users viewing a dashboard can include the variable again through the variable dropdown menu. This will allow the user to select specific values for that variable to filter their dashboard.

See logs in context in Kubernetes deployment views

Wed, 18 Sep 2024 00:00:00 +0000

You can now view logs related to a Kubernetes deployment directly in the Kubernetes deployment view, making it easier to explore related logs without having to manually search through log data.

To get started, open a Kubernetes deployment view and click the Logs tab. A logs view will open where you can explore logs related to your Kubernetes deployment.

In addition, we have added the Mini Overview widget to the Kubernetes deployment summary page, allowing you to view the total log count and the error log count associated with your Kubernetes deployment. This widget contains the See logs button, which opens up the logs in context view for that Kubernetes deployment.

Customize chart refresh rates

Tue, 17 Sep 2024 00:00:00 +0000

Customers on the New Relic Compute consumption pricing plan can now customize how often your data visualizations update with the refresh rate option. This feature allows you to personalize your dashboards further to suit your specific needs, ranging from refreshing every 5 seconds to every 24 hours.

This configuration option also allows you to control and manage costs, ensuring that you only pay for the value you receive. For example, you may want to refresh critical charts every 5 seconds, while keeping less frequently visited charts on a longer refresh cycle.

Easily configure refresh rates in the chart editor menu.

To adjust the refresh rate of a chart, go to a custom dashboard and select the edit menu on a chart. Then scroll down to the Refresh rate dropdown menu. Select the desired frequency and then Apply changes.

Note that this feature will update chart refresh rates for customers using the New Relic Compute consumption pricing plan. Learn more about this feature, including the default refresh rates, in the docs.

Enhanced APM golden metrics accuracy for services instrumented with OpenTelemetry

Mon, 13 Jan 2025 00:00:00 +0000

Starting today, we're improving the accuracy of APM golden metrics for services instrumented with OpenTelemetry. "Golden metrics" or "golden signals" refer to high-value metrics such as latency, error rate, and throughput, which are visible in the entity explorer, workloads activity page, and change tracking details page. Previously, these metrics were derived from sampled span data. Now that OpenTelemetry metrics have matured, we are calculating them using unsampled metrics data, providing a more precise and comprehensive view of your service's performance. To maintain visibility of golden metrics for your OpenTelemetry services, please ensure you are reporting both traces and metrics.

Key Benefits:

Improved accuracy: If you're already reporting metrics for your OpenTelemetry-instrumented services, you will now receive more accurate and reliable data for latency, error rate, and throughput. This enhancement will be reflected in key areas such as the Entity Explorer, Workloads Activity page, and Change Tracking Details page.
Faster troubleshooting: With more accurate metrics, you can gain a clearer understanding of your application's performance. This precision allows you to pinpoint issues faster, identify root causes more efficiently, and resolve them swiftly. Detailed and accurate metrics help you trace anomalies to their sources, enabling quicker fixes and reducing downtime.

Next Steps:

Review instrumentation: If you're using OpenTelemetry, verify that you are reporting both traces and metrics for your services.

Gain comprehensive visibility into your azure serverless functions

Thu, 16 Jan 2025 00:00:00 +0000

New Relic now offers comprehensive serverless monitoring for Azure Functions, including exclusive support for both dedicated and consumption hosting plans. Get a unified view of all your functions, regardless of deployment method, and gain deep insights into their performance and behavior. Troubleshoot issues faster and optimize resource utilization with:

Deeper invocations insights: Gain granular visibility into every function invocation (transaction), including detailed information on execution time, resource consumption, and success/failure rates.
Distributed tracing for HTTP: Trace the flow of HTTP requests across your entire serverless application, identifying performance bottlenecks and quickly diagnosing issues within complex distributed systems.
Cross-platform support: Our enhancements support .NET function apps hosted on both Windows and Linux, providing consistent visibility and troubleshooting capabilities across your diverse environments.
Containerized function support: Gain deep insights into the behavior of your Azure Functions deployed as containers, even when running within Kubernetes environments.
Comprehensive metrics: Access a rich set of metrics related to compute, garbage collection, and HTTP status codes, empowering you to proactively identify and address performance issues.

Metric cardinality management made easy

Mon, 30 Sep 2024 00:00:00 +0000

We've released a new cardinality management UI that makes it easier to diagnose and solve metric cardinality issues, so that you can prevent visual data gaps in your charts and gain more control over cardinality.

The new feature allows you to:

View account usage over time: See cardinality usage trends vs. budget within your account.
Get a metric level breakdown: Understand which metrics are driving the most usage.
Prune high-cardinality metric attributes: Dive deeper into a metric's attributes and prune (remove) specific attributes to free up cardinality budget.

Easily monitor and manage cardinality within the New Relic UI.

View, create, and delete metric pruning rules.

Learn more about how to use this feature in the blog.

Configure cross account alerts for improved organization and manageability

Thu, 16 Jan 2025 00:00:00 +0000

In many organizations, different teams or departments may use separate New Relic accounts to organize their data. The new cross-account alert condition feature now enables users to create and manage an alert condition in one account that targets data residing in another account.

Key benefits

Consolidated alerts management: Manage alerts across multiple accounts you have access to, enabling a unified view of all relevant incidents and issues.
Enhanced security: Limit write and edit access to sensitive accounts, minimizing the need for multiple users to have permissions on accounts they do not directly manage.
Efficient alert organization: Reduce unnecessary alerts on accounts that serve as data sources for others.
Delegated governance: Delegate alert threshold management and governance to the appropriate teams, easing the burden on account owners.
Timely Notifications: Ensure timely alerts for critical dependencies, even if they reside in different New Relic accounts.

Example

Consider an application team dependent on the host their application runs on, with the application team’s data in a separate account from the host data.

Once data sharing is enabled on the host data’s account, the application team can create an alert condition within their own account targeting the host’s data. This allows the application team to manage their own alert conditions and notifications, ensuring they are informed of any host issues. The team managing the host data’s account does not need to manage these alert conditions on behalf of the application team.

Get started

To use cross-account conditions, an organization manager must decide which accounts can share data for cross-account alerts. They need to opt-in those accounts via the Alerts > Settings page or the cross account enablement API

This feature is available only on the new NRQL alert conditions through the Query Mode form. This field is located in the Tell us where to look section of the form above the query box. It can also be edited using the alert condition APIs and in our latest Terraform provider. For more details, refer to Cross-account alert.

React 18 is here

Thu, 23 Jan 2025 00:00:00 +0000

We have heard your feedback and have made key improvements to our UI, which have been in progress since January 16, 2025. As part of these enhancements, we are upgrading the UI framework from React 17 to React 18. This important upgrade will provide you with efficient, up-to-date tools and performance enhancements.

We've conducted testing to help ensure a smooth update for our main product, as well as the most widely used programmability apps, such as Pathpoint v2, and third-party visualizations, like the Status Widget and Victory Charts. However, we recognize that some of our you may have custom-built applications using our programmability extension. While we've worked diligently to minimize potential impacts, there could still be unforeseen issues affecting these custom applications due to the update.

Action Required: No action is required from you at this time, and your services should be functioning as expected. However, if you have built a custom application, we recommend verifying that it is performing as expected.

If you have any questions about these changes, please ask in Explorers Hub, our free support forum.

We appreciate your understanding and cooperation as we work to enhance our platform. Your efforts to test your custom applications contribute significantly to ensuring a smooth transition. Thank you for your attention and assistance in this matter.

New thresholds markers for line charts and tables

Mon, 22 Apr 2024 00:00:00 +0000

When analyzing your data, it's important to know at a glance whether a metric needs your attention. Someone viewing your chart may not know the context of whether a number is normal, or more importantly, not normal.

That's why we've released a new thresholds feature that lets you draw custom lines and regions to label your line time-series charts and tables. This feature allows you to add more context to your dashboard customizations and make data more easily understood.

With thresholds you can:

Specify boundaries in time series charts
Set colored regions in times series charts
Set only the lower value to set a minimum boundary and shade everything above that value
Set only the higher value to shade everything below
Color cells in a table depending on its value
Add multiple thresholds in a single chart or table to show varying degrees of severity

How to configure thresholds

In time series charts:

Edit the chart and expand the Thresholds menu.
Select + to add a threshold and enter a Name.
Enter values for From and To. If you want to create a single line, enter the same number for both fields.
Select a Severity level. This determines the color of the line and/or region.

In tables:

Edit the table widget and expand the Thresholds menu.
Select + to add a threshold and select a Column.
Enter values for From and To. To set an upper bound, leave the From field empty. To set a lower bound, leave the To field empty.
Select a Severity level. This determines the color of the cell.

Remove a threshold

To remove a threshold marker or region, hover over one of the fields and select the - symbol beside the Name field.

Learn more

Learn more about how you can customize charts by reading the docs page.

REST API Keys End-of-life

Fri, 17 Jan 2025 00:00:00 +0000

New Relic is now retiring the REST API keys to improve security and reliability. You must update your systems with the new User keys to avoid service disruptions.

The current REST API keys used to access REST API v2 (api.newrelic.com/v2 or api.eu.newrelic.com/v2) will be retired. This change addresses the limitations of the existing account-level keys and aligns with industry best practices.

If your systems or integrations call these specified API end-points using the REST API keys, you must replace them with new User API keys by March 1, 2025, to avoid service disruptions. Failure to update may result in API call failures and errors, also potentially disrupting workflows.

You must complete replacement of the REST API keys by March 1, 2025.

To get started

This change requires you to rotate your API key.

You must do the following:

Generate new keys: Use the New Relic UI or NerdGraph API.
Update systems: Replace old keys with new User API keys in your systems.
Validate: Ensure all API integrations work with the new User keys.
Remove old keys: Delete old keys once validated.

Rotate API key

To rotate API keys in UI:

Go to New Relic UI and determine which account you need a key for.
Create new User API keys associated to that account.
Update your systems to use the new User API keys. Go to one.newrelic.com/api-keys or one.eu.newrelic.com/api-keys for EU data center and refer to the create and update instructions here.
Ensure your API integrations function/work correctly with the new keys. This requires updating any scripts or code that reference the old key to use the new key value.
Once validated, remove the old REST API keys. After the old key is deleted, it cannot be restored.

You can also manage User keys via our NerdGraph API. For instructions, refer to NerdGraph tutorial Manage API keys.

Additional key points

If you’re using multiple New Relic accounts, each one will have its own REST API key. Each REST API key must be replaced individually with a User API key which is generated in the corresponding account.
If your API key starts with NRAK, no update is required.

Contact support

Our support team is here to assist you during this transition. If you have any questions about these changes, please contact Support.

For more information on how to view and manage API Keys in New Relic, click here.

Office 365 connectors for Microsoft Teams End-of-life

Thu, 23 Jan 2025 00:00:00 +0000

Microsoft has announced the retirement of the Office 365 connectors feature for Microsoft Teams. This change could impact the New Relic accounts that use these connectors for outbound notifications. The transition to a new URL structure is required as part of Microsoft's service hardening updates.

As a result, the webhook URLs of all existing Office 365 connectors with New Relic must either (1) be updated following the instructions below or (2) deleted and replaced with new connectors by January 31, 2025 to continue posting messages into Microsoft Teams. Microsoft recommends deleting existing connectors and creating new connectors to avoid having to do another round of updates at a later date.

What you need to do

To update your existing connectors: Follow the steps recommended by Microsoft to update the webhook URLs of your Office 365 connectors. Edit the corresponding webhook destinations in New Relic UI by updating the new URLs in the Endpoint URL field.

NOTE: Microsoft recommends deleting existing connectors and creating new connectors to prevent further updates. See additional instructions below to create new connectors.

OR
To create new connectors: Microsoft recommends designing a workflow within Microsoft Teams using the Workflows app. We have provided the step-by-step instructions along with a sample payload template to help you get started.

Our support team is here to assist you during this transition. Additional solutions may be available from New Relic in the future. If you have questions about these changes, please contact Support.

Enhanced control for Session Replay settings

Mon, 10 Feb 2025 00:00:00 +0000

Tired of worrying about who can access and change your Session Replay settings? We're excited to announce a significant update to our Session Replay feature, offering users enhanced control over who can access and modify settings. This update introduces tailored roles, allowing product admins to create custom permissions specifically for Session Replay, ensuring a more secure and efficient management process.

Why this is a big deal

Organizations with large teams have expressed challenges in managing access to Session Replay settings, particularly concerning unintended changes to settings like the sampling rate that lead to increased data ingest and costs.

Key Features

With this update, users can now:

Define Tailored Roles: All Product admins can create custom roles with Modify permissions exclusively for Session Replay. This allows for precise control over who can adjust critical settings, eliminating the need for all-or-nothing access.
Precision Control: Users with the Modify role can access Session Replay settings directly within the Application Settings page. They can fine-tune the sampling rates, mask sensitive text, and block site content, optimizing performance and protecting sensitive data.
Seamless Experience for Everyone: Existing Session Replay View/Read users will continue to enjoy an uninterrupted experience viewing session listings. The settings will be hidden from them, ensuring a clean, focused workflow. If a Read user was previously responsible for updating settings, they will need to contact an admin to be moved into the Session Replay Modify role.

This update empower teams to manage Session Replay settings with greater precision and security, aligning with their operational and compliance needs. By providing these enhancements, we aim to improve your workflow efficiency.

Update to New Relic Synthetics IP ranges

Tue, 11 Feb 2025 00:00:00 +0000

In order to ensure the best service to our customers, New Relic will change the IP ranges for New Relic Synthetics checks effective April 14, 2025.

If Synthetics traffic is part of your allowlist, you will need to update your configurations to maintain monitor connectivity.

Failure to update your allowlist by April 14, 2025, may result in your synthetic checks failing to connect to your applications, potentially causing disruptions and alerts.

NOTE: If you do not allowlist by IP range, no action is required.

What’s changing?

We will be migrating the IP address range for the New Relic service used by Synthetics public locations to align with our standard IP ranges used across other data ingest.

What action is required?

Before April 14, 2025, update your allow lists with the new IP ranges provided below.

New IP ranges to allowlist:
- 152.38.128.0/19
- 212.32.0.0/20
- 64.251.192.0/20
After April 14, 2025, remove the old IP ranges from the allowlist. Failure to do so may result in failed connections and trigger alerts.

Old IP ranges to remove: Please refer to the table below for a complete list of current IP ranges that need to be removed after April 14, 2025.

Region Name	Region Location	Current CIDR Block Range
us-east-1	Washington, DC, USA	44.202.178.0/24 44.202.180.0/23 44.210.68.0/24 44.210.110.0/25
us-east-2	Columbus, OH, USA	3.145.224.0/24 3.145.225.0/25 3.145.234.0/24
us-west-1	San Francisco, CA, USA	3.101.204.0/23 3.101.212.0/24 3.101.209.192/26
us-west-2	Portland, OR, USA	35.89.46.0/23 35.92.27.0/24
ap-southeast-2	Sydney, AU	3.26.252.0/24 3.26.245.128/25 3.27.51.0/25
eu-central-1	Frankfurt, DE	3.71.170.0/24 3.71.103.96/27 3.75.4.128/25
eu-west-1	Dublin, IE	3.251.231.0/24 3.251.230.64/26 3.252.47.0/25
eu-west-2	London, England, UK	13.40.201.0/24 13.40.208.0/25 13.41.206.128/25 13.41.206.64/26

Additional Support

1-Click Log Forwarding for Java Applications

Wed, 12 Feb 2025 00:00:00 +0000

In software, time is of the essence, especially when an issue may arise that may leave your customers without access to your service. These are the scenarios when you need logs the most. Traditionally, enabling or disabling logs in Java applications required coordinating with DevOps teams, manual configuration, and prolonged downtime. New Relic is excited to introduce a new feature that simplifies this process, adding ease and efficiency to your workflow.

Why is this important:

Engineers often face friction when needing to adjust Java application logging settings for tasks like debugging. This commonly includes rooting through configuration files or waiting for a DevOps team to implement changes, which can disrupt the development cycle.

This new feature allows users to turn Java application logs on and off directly within the curated application UI, through our Server-Side Configuration. This gives users immediate control over logging in their service, streamlining the debugging process and enhancing agility.

How to Get Started:

Ensure your application is running on New Relic version 7.6.0 or higher.
Access the Server-Side Configuration in the UI by locating Application underneath the Settings section of the secondary navigation or simply click enable logs in the banner at the top of the APM UI.
Turn on the Server Side Configuration toggle next to “Server-side agent configuration”
Opt in to Application log forwarding in the secondary radio option
Turn on application log forwarding in the main Application log forwarding section of the Server Side Configuration UI.

Things to Keep in Mind:

Only available on Java applications 7.6.0 and higher.
If you turn on Server Side Configuration and opt-in to each individual section then you will override existing client-side settings for those values in the .yml files, or Java properties.
Will not work if you are managing configurations via environment variables.
Beyond logging, users can manage other configurations such as application transaction tracing and error handling, providing more control and granularity over their application's operation.

By integrating this feature, New Relic continues to empower teams by reducing friction, accelerating development cycles, and providing deeper insight into their systems, all through a user-friendly interface. Transform your approach to application management and make cumbersome configuration changes a thing of the past—experience the freedom of Server-Side Configuration today!

Updates to New Relic access control

Wed, 19 Feb 2025 00:00:00 +0000

New Relic is introducing enhanced user access controls to support upcoming capabilities and features to be announced at New Relic Now+. This includes a new default role and access grants, effective February 19, 2025. Admins should review and audit grants if you want to limit access to new capabilities.

What's changing?

New Organization Product admin role: We are adding a new standard role to your New Relic organization. This new role, called Organization Product Admin, will contain capabilities that allow users to configure features that are scoped to your organization. This role lives under the administrative settings section when creating and editing a group.
New standard access grant: We are creating a new standard access grant that will assign the Organization Product Admin role to the default User and Admin groups.

Note: This will allow all users in these groups to access and manage these new features.

New permissions: We are adding new permissions to the existing Organization Manager role. These permissions are ones we deem extra sensitive, like the ability to delete new types of entities.
Custom role management: We have already released API endpoints to create and manage org-scoped custom roles, or what we call administration settings today.

These changes will take effect on Feb 19, 2025, before we announce and release the new features to which the new permissions pertain.

What action is required?

Admins should audit and make any necessary changes to your groups and access grants. If you would like to limit access, you can create custom groups and custom roles by completing both of the following:

Create custom groups via our UI or API
Create custom roles, which can only be done via our API. Learn more in this doc.

No action is required if default access is acceptable for your organization.

What if I don't take action?

Users that are in the default User and Admin groups will be able to gain access to the new Advanced Compute features after completing the onboarding steps for the new capabilities.

Note that products in public preview will not generate additional CCU costs

New Product Announcements at New Relic Now+

Tue, 25 Feb 2025 00:00:00 +0000

We're unveiling the power of AI and Intelligent Observability with 15 new innovations--designed to help you solve your biggest needs--business uptime, engineering excellence, and digital experiences.

Business Uptime

Discover how AI prevents incidents, enables autonomous operations, and reduces downtime to near-zero.

Agentic AI Integrations: AI agent-to-agent integrations bring O11y insights & autonomous task mgmt to Github, Amazon Q Business, ServiceNow, and more.
- To learn more, visit the product webpage.
- You can access this innovation in the New Relic platform here.
Predictions: Prevent issues with seasonality-aware predictive queries, proactive alerts on any signal.
- To learn more, visit the product webpage.
- You can access this innovation in the New Relic platform here.
Response Intelligence: AI-powered causal analysis, issue identification and suggested remediation in a clear, unified view.
- To learn more visit the product webpage.
- You can access this innovation in the New Relic platform here.
Transaction 360: Reduce MTTR 5x with industry's first transaction monitoring that instantly diagnoses multi-service transaction issues.
- To learn more, visit the product webpage.
- You can access this innovation in the New Relic platform here.
Database Performance Monitoring: Connected app and DB monitoring with deep query level insights.
- To learn more, read the product documentation for MySQL, PostgreSQL, and Microsoft SQL.
- You can access this innovation in the New Relic platform here.
Queue & Streams: Proactively monitor and optimize queues and streams performance with instant, bi-directional insights from service to cluster.
- To learn more, read the product documentation.
- You can access this innovation in the New Relic platform here.

Engineering Excellence

Eliminate engineering time lost to researching critical information locked in siloed teams, tools, and systems.

Service Architecture Intelligence: A collection of capabilities that consolidate essential knowledge on digital landscapes into catalogs, scorecards, teams and maps.
- To learn more, visit the product webpage.
- You can access this innovation in the New Relic platform here.
eAPM: Instant APM insights for K8s-based workloads with no-code instrumentation using eBPF technology.
- To learn more, visit the product webpage.
- You can access this innovation in the New Relic platform here.
Security RX for Infra: Improve security posture and reduce toil with prioritized remediation for infra vulnerabilities.
- To learn more, visit the product webpage.
- You can access this innovation in the New Relic platform here.
Cloud Cost Management: Industry's first fully integrated solution combining cloud spend with telemetry insights to optimize cloud costs and resources.
- To learn more, visit the product webpage.
- Interested customers can sign up to access the innovation here.
Fleet and Agent Control: Centralized command center for full agent lifecycle management.
- To learn more, visit the product webpage.
- Interested customers can sign up to access the innovation here.
Pipeline Control: Maximize value with fine-grained controls to filter, enrich, and optimize telemetry in real time.
- To learn more, visit the product webpage.
- Interested customers can sign up to access the innovation here.

Digital Experiences

Automatically link frontend signals to backend performance with intelligence--for instant insights on user friction.

Streaming Video & Ads Intelligence: Industry's first full stack intelligent observability for streaming video and ads.
- To learn more, visit the product webpage or read the product documentation.
- Available now in the platform.
Engagement Intelligence: Improve user experiences with automated user behavior analysis so you can fix issues faster.
- To learn more, visit the product webpage or read the product documentation.
- Available now in the platform.
Public Dashboards: Extend intelligent insights to all teams and even external users with dashboards accessible outside of the New Relic platform.
- To learn more visit the product webpage or read the product documentation.
- Available now in the platform.

Learn more

Check out our blog Prepare for New Relic Now+: Product Releases and Essential Upgrades for a quick guide on how to prepare your environment for these new releases.

Change to count(*) in Dimensional Metrics Queries

Fri, 07 Mar 2025 00:00:00 +0000

We’re changing the behavior of count(*) when used in dimensional metric queries effective on June 9th, 2025. The goal of this change is to make the behavior of the count(*) function align with the behavior in other types of data.

For Alerts: To determine if alert queries need to be modified or to make changes to alert thresholds, compare the results with the same query using count(%) in place of count(*).
For Queries and Dashboards: If the query was intended to count the number of data points, use datapointCount(); otherwise, no change is required.

What’s changing?

Currently, when executing a query such as FROM Metric SELECT count(*), the result returned is the count of the number of data points processed by the query.

After the change, count will always return the sum of the count field, which is in line with how count(*) behaves when querying other data types.

For example, the newrelic.goldenmetrics.apm.application.errorCount metric is a dimensional metric that records the number of errors seen by an application. To know how many errors have been reported across all applications in the last hour, the following query can be used:

FROM Metric SELECT count(*)
WHERE metricName = 'newrelic.goldenmetrics.apm.application.errorCount'
SINCE 1 hour ago

To know how many times this metric was reported over the last hour, the datapointCount() function can be used:

FROM Metric SELECT datapointCount()
WHERE metricName = 'newrelic.goldenmetrics.apm.application.errorCount'
SINCE 1 hour ago

NOTE: This change only applies to queries using count(*) on the metric event type. All other uses of the count function with dimensional metrics, such as count(metricName), were unambiguous and will continue to behave as they do today.

What action is needed?

Review any usage of count(*) in dimensional metrics queries, dashboards, and alert conditions to determine if any changes are needed.
If the query was intended to count the number of data points, update the query to use the datapointCount() function instead of count(*).
Otherwise, leave the query as-is, and it will pick up the new semantics and return the sum of the count field for any matching metrics.

For ad hoc queries and dashboards: To identify queries or dashboards that are using count(*) against dimensional metric data, run a query like the following against the NrdbQuery event to get a list of uses:

FROM NrdbQuery SELECT uniques(query), latest(source.name), latest(source.dashboardId), latest(user)
WHERE query.eventType = 'Metric' AND query LIKE '%count(*)%'
SINCE 1 day ago LIMIT MAX

For alert conditions: To identify alerts using count(*), use the Alerts > Alert Conditions page within the New Relic UI to view and search for New Relic Query Language (NRQL) queries associated with alert conditions. Then compare the query with the same query using count(%) either within the alert condition builder or the New Relic query builder to determine whether it’s needed to modify the query or make changes to alert thresholds.

How does metric types behave with `count` functions

Metric Type	Current count(*) Behavior before EOL	count(%) Behavior (New behavior of count(*) after EOL)	sum(%) Behavior	datapointcount() Behavior
Summary: [count] [total] [min] [max]	Returns the total number of measurements that went into the summary over the interval.	Returns the sum of the [count] field across all summary measurements	Returns the sum of the [total] field across all summary measurements	Returns the number of summary metrics reported.
Gauge: [count] [total] [min] [max] [latest]	Returns the total number of measurements that went into the gauge over the interval.	Returns the sum of the [count] field across all gauge measurements	Returns the sum of the [total] field across all gauge measurements	Returns the number of gauge metrics reported.
Count: [value]	Returns the total number of counters (measurements) recorded over the interval. For aggregates, this is the number of aggregate buckets not the number of counters.	Returns the total number of counters (measurements) recorded over the interval.	Returns the total number of count values for a count metric.	Returns the number of count metrics reported.
Histogram/Distribution: [count] [buckets] [min] [max] [sum] [total]	Returns the number of histogram data points.	Returns the sum of the [count] field across all histogram/distribution measurements	Returns the sum of the [total] field across all distribution measurements	Returns the number of histogram/distribution metrics reported.

Additional Support

Timeslice Metrics and Lookup Tables Now Available in Data Explorer

Mon, 10 Mar 2025 00:00:00 +0000

The data explorer makes it easy to identify, fetch and visualize the data you are looking for through visual menus, without requiring knowledge of NRQL or building queries. It allows you to access all data stored in the New Relic database (NRDB) in a quick, intuitive way.

Now, we've added Timeslice Metrics and Lookup Tables to the data explorer so you can easily explore an even broader range of data in one place!

Timeslice Metrics

Metric timeslice data is a lightweight data type reported by our APM, browser, and mobile agents. Now, you can easily explore timeslice metrics in the data explorer by selecting "Timeslices" in the data type dropdown menu.

Key Features:

Automatic query recommendations: Our intuitive data explorer interface provides quick, one-click recommended queries, streamlining your data analysis process.
Explore with context: Effortlessly switch between Timeslices Metrics and Dimensional Metrics without losing the context of your account or entity.

Learn More:

Learn more about metric timeslices in this doc
Learn more about extracting metric timeslice data with the API in this doc

Lookup Tables

Lookup tables allow you to access and query data from CSV files uploaded to the New Relic platform, enabling you to integrate and enrich New Relic-stored data with your business-specific data from CSV files.

Key Features:

Enrich your insights: After uploading your CSV as a lookup table, explore and query your data with the same ease as any other metric or event in the platform.
Automatic query recommendations: Our intuitive data explorer interface provides quick, one-click recommended queries, streamlining your data analysis process.

Learn More:

Learn how to upload look up tables in this doc
Learn how to use lookup table data in this doc

Changes to data exploration products

Tue, 01 Apr 2025 00:00:00 +0000

As part of our ongoing efforts to streamline interactions with the Data Exploration and Query Builder products across the platform, we are removing the 'Query Your Data' capability from the menu as an access point for Query Builder and Data Explorer.

Starting April 30, 2025, Query Builder and Data Explorer will only be accessible via the console at the bottom of the platform.

New and improved querying interface

The new querying UI combines the chart editing features of the old query builder with the portability of the old NRQL console. The enhanced user interface helps you:

Explore your data with context. Troubleshoot faster with a persistent, resizable query bar as you navigate across the platform.
Explore data without NRQL knowledge. Generate queries with the point-and-click data explorer, translate from PromQL, or simply ask questions with natural language to enable anyone from your team to get answers from the data.
Multi-task better with query tabs. Use up to 100 query tabs to streamline data exploration.

Next Steps for You

This change does not require any action for your side. Starting April 30, you will no longer be able to access the Query Builder and Data Explorer as a pinned capability from the left menu. Instead, you can access them through the console at the bottom of the platform UI.

Learn More:

Read tips to make the most of the new querying experience
Explore your telemetry data faster with the new data explorer

New Filter Bar & Data Table support for Error Inbox

Thu, 03 Apr 2025 00:00:00 +0000

We're excited to announce a major update to Error Inbox’s filtering system and data display, designed to make your error tracking experience more intuitive and powerful.

New Filter Bar:

Our completely redesigned filter bar brings a cleaner interface and enhanced filtering capabilities:

Improved Search Placement: The search bar now sits prominently at the top for easier access
Intuitive Filter Addition: Adding multiple filters is made more easy with the new '+' icon
Simplified Logic: All filters now use AND logic for more precise results
Backward Compatibility: All your existing permalinks with previous filter settings will continue to work seamlessly

Enhanced Data Display

We've also migrated to our new DataTable component, delivering:

Improved capabilities for large datasets
Enhanced sorting and pagination
Better visual hierarchy of information
Consistent styling with our latest design system

This update represents a significant step forward in how you interact with your error data. We can't wait to hear your feedback!

PromQL translator now in the query console

Mon, 07 Apr 2025 00:00:00 +0000

New Relic allows you to store and analyze all telemetry data, whether they come from New Relic Agents or third-party sources, such as Prometheus. Previously, you had to use the old Query Your Data capability to translate PromQL queries, rather than the new unified query console that allows data exploration in context throughout the platform.

Now, the new query experience includes support for PromQL queries, making it easy to explore your Prometheus data, without needing to go to a separate querying experience or knowing how to write the NRQL query.

Open the query console and select PromQL from the three-dot menu
Enter your query in PromQL and select the desired time step and ranges
Select the Translate, then Submit button to use the translated NRQL query

Learn More:

Learn more about supported PromQL features or how to configure New Relic as a Prometheus data source for Grafana
Explore your telemetry data faster without manually writing NRQL with the new data explorer

Login and logout audit events

Wed, 09 Apr 2025 00:00:00 +0000

You can now query login and logout events with NrAuditEvent. For example queries, visit our Explorers Hub post.

Improved OpenTelemetry data validation policy is coming!

Tue, 23 Apr 2024 00:00:00 +0000

Starting June 2, 2025, New Relic will introduce a more lenient validation logic for OTLP ingest attribute processing. This update marks an evolution in how New Relic handles attribute variations. Invalid attributes will no longer cause entire records to be dropped. Instead, problematic attributes will be pruned or modified, allowing the rest of the record to remain intact. This will provide greater data reliability and simplify your observability workflows by providing:

Reduced data loss: Fewer instances of entire records being dropped due to a single invalid attribute.
Improved data completeness: A more faithful representation of the data you're sending.
Easier troubleshooting: Less time spent tracking down and diagnosing missing data.

It’s important to note that this new approach will store records previously dropped due to invalid attributes. While this contributes to your account’s data usage under New Relic’s pricing model, the benefits of improved data retention and reliability far outweigh the trade-off.

For more information on how you can prepare for this change, read this doc.

Unified agent lifecycle and telemetry pipeline management with New Relic Control

Tue, 08 Apr 2025 00:00:00 +0000

Managing observability in complex infrastructures is challenging due to vast amounts of data, manual instrumentation updates, and fragmented tooling. New Relic Control simplifies this by centralizing and automating the entire observability lifecycle.

As announced at New Relic Now+, New Relic Control integrates three core components -- Fleet Control, Agent Control, and Pipeline Control -- into a single, unified platform, enabling DevOps and Platform teams to easily deploy, configure, and optimize agents and telemetry data across any environment.

Fleet Control (Public Preview)

Fleet Control simplifies observability agent operations by enabling centralized, remote command of fleets of managed entities running Agent Control, such as Kubernetes clusters.

Agent Control (Public Preview)

Agent Control acts as a lightweight supervisory agent to remotely manage infrastructure-level instrumentation on Kubernetes clusters. It keeps your agent configurations up-to-date and consistent while continuously monitoring agent health in real time.

Pipeline Control (Generally Available)

Pipeline Control provides sophisticated yet intuitive filtering to help you optimize telemetry data before it reaches New Relic. Choose Pipeline Control Gateway with a dedicated Kubernetes cluster to get full control over your environment and reduce network egress costs, or select Pipeline Control Cloud for a managed, hassle-free solution operated by New Relic.

Learn More

Learn how to get started in the docs
Read the blog

Configure Seasonality for Anomaly Alerts

Thu, 10 Apr 2025 00:00:00 +0000

New Relic now lets you specify the seasonal trend to apply to each signal's model in an anomaly alert condition. Previously, New Relic automatically calculated seasonal trends—hourly, daily, or weekly—based on historical data, and adjusted the seasonality as more data became available. Now, you can define the type of seasonality for homogenous data sets (either without facets or with facets where the seasonal trend is consistent across signals) when setting up an alert condition. Specifying seasonality during configuration can expedite the training of anomaly models for that condition.

When configuring anomaly alert conditions, you can choose from the following options:

New Relic calculation (default): Automatically determines the seasonality for each signal based on factors such as data age, consistency, and regular fluctuations.
Hourly: Applies an hourly pattern to all signals within the condition for anomaly detection.
Daily: Applies a daily pattern to all signals within the condition for anomaly detection.
Weekly: Applies a weekly pattern to all signals within the condition for anomaly detection.
None: Disables seasonality entirely, ensuring no seasonal patterns are considered when evaluating signals.

Dynamic Row Height with Formatted JSON

Tue, 06 May 2025 00:00:00 +0000

Searching through logs to find that needle in the haystack or singular value in a log attribute can be a difficult proposition when considering the verbosity of logs. To address this, we've introduced powerful new customization options for your log table view.

You can now tailor how you scan and investigate your logs to significantly improve your efficiency. Choose to view log entries in a condensed, single-line format for rapid scanning across numerous logs, or opt for an expanded view to see more of your log at a glance.

Furthermore, when diving into the details, you can select between an inline expanded table row – which will automatically format detected JSON objects in the log message field. Or you can choose a side panel view which opens the full log detail in a slide out.

These enhancements give you greater control over how you interact with your log data, making it easier than ever to pinpoint critical information and understand complex log structures.

Learn how to get started in the docs.

New Relic AI access and billing update

Wed, 04 Jun 2025 00:00:00 +0000

New Relic AI is your observability and problem-solving assistant, allowing you to discover problems, troubleshoot issues, and explore your telemetry data using plain language—all directly inside the New Relic platform or via natural language interfaces on other platforms, such as GitHub Copilot and ServiceNow NOW Assist. Powered by advanced AI models and New Relic’s tried-and-true observability features, New Relic AI brings speed, clarity, and automation to everyday engineering and reliability tasks.

Key things to know about today’s news:

New Relic AI experiences on the New Relic platform are generally available (GA) as of June 4, 2025. Agentic Integrations, which connect users to New Relic AI capabilities from other platforms like GitHub Copilot and ServiceNow, will remain in preview until July 15, 2025.
Some AI capabilities now consume Advanced Compute Units (aCCUs), which means you will need to have New Relic’s Advanced Compute SKU to continue using New Relic AI beyond GA.
Unlike many copilots, New Relic AI is not shelfware. You only pay for what you use — most New Relic AI features are triggered manually.
You can track all AI usage transparently through your Compute Usage dashboard.

During the preview period, all AI usage was free. Starting at GA, specific New Relic AI capabilities will begin consuming aCCUs.

Learn more

Enhanced Mobile Request Errors Grouping Logic

Thu, 05 Jun 2025 00:00:00 +0000

Changes:

Enhanced URL Grouping: Errors will now be grouped by requestDomain + requestPath instead of only requestDomain
Intelligent Resource URL Handling: Special handling for resource URLs is now available (images, videos, static content, etc.,)
- File names in URLs will be replaced with <FILE_NAME> placeholder
- Image size directories in URLs will be replaced with <FILE_SIZE_DIRECTORY> placeholder
- Numbers in between forward slashes will be replaced with <NUMBER_IN_URL> placeholder

Benefits:

More precise error grouping for easier triage and assignment
Better differentiation between API endpoints and Resource URLs
Improved ability to identify patterns in error occurrences

Examples

Before:
- cdn.example.com/101010/image/300/300/user-images/example.png
After: Special handling for resource URLs is now available (images, videos, static content, etc.,)
- cdn.example.com/<NUMBER_IN_URL>/image/<FILE_SIZE_DIRECTORY>/user-images/<FILE_NAME>

Who's Affected:

All customers using Mobile Request Errors functionality will benefit from this update. This change is especially valuable for high-volume customers who previously experienced grouping issues, no additional action is required from customers to take advantage of this enhancement.

New Relic Compute Optimizer is generally available!

Mon, 23 Jun 2025 00:00:00 +0000

The New Relic Compute Optimizer is designed to empower you with intelligent, actionable insights enabling you to precisely manage your compute spend and implement effective cost controls. It helps you identify and optimize inefficient alert conditions and queries, leading to significant potential cost savings, improved query efficiency, and a more streamlined New Relic experience.

Key things to know about today’s news:

Compute Optimizer is generally available (GA) as of June 23, 2025, now accessible to all customers on New Relic Compute Public Preview or Core Compute plans within your New Relic account.
This tool provides clear, practical recommendations to reduce your compute consumption, directly addressing concerns around usage governance and uncontrolled costs.
Easily identify areas of inefficient compute usage, starting with alert conditions, and receive specific guidance on how to optimize them for maximum CCU savings.
You can transparently track your optimization opportunities and potential savings directly within the Compute Optimizer dashboard in the Admin panel.

To learn more, see Compute Optimizer.

Logs details view now also in the query console

Tue, 10 Jun 2025 00:00:00 +0000

The New Relic query console, located in the drawer at the bottom of the UI across the entire platform, allows you to query and analyze all telemetry data, including logs. Previously, you had to use the separate Logs capability to view log details. Now, the new unified query console integrates log details view, enabling you to effortlessly explore your logs data without needing to write NRQL.

Key Features:

Narrow your focus: Our intuitive logs details interface offers a quick, one-click method to include or exclude log details values from your query, streamlining your data analysis process.
Copy value: Easily copy the value of log details with a single click, allowing you to use it elsewhere seamlessly.
Explore logs in Data Explorer: Effortlessly switch to Logs from other data types like Events, Dimensional Metrics, and Timeslices Metrics to explore and build queries using recommended queries.

Capture and analyze all changes impacting your system

Mon, 19 May 2025 00:00:00 +0000

Deployments aren’t the only type of change impacting your system. Now change tracking allows you to capture every system change with ease and view all of your change events in a single pane of glass alongside timeseries data. Identifying correlations to see how changes impact your system has never been easier. Sign up for the change tracking public preview to try it now.
EU Public Preview Sign Up

Change Tracking Events Plus Timerseries Data

Key benefits

Capture all changes impacting your system: Send change events for any type of change, including feature flags changes, configuration changes, and business events, or create any custom change event based on your requirements. Easily send change events for various event types using our new Nerdgraph mutation, ‘changeTrackingCreateEvent’.
Gain a comprehensive view to manage change across your system: Seamlessly view and filter change events across all of your entities and accounts from one unified interface. Effortlessly identify changes by filtering by team, type, custom attributes, and more.
Quickly correlate changes to telemetry and accelerate root cause analysis and discovery: Enhance your understanding of how changes impact your system by visualizing change events with time series data. Find the root cause faster by adding a timeseries query to visualize change events alongside specific data to correlate changes to your metrics.
Enrich your change events with comprehensive metadata: Track all the necessary information about your changes using custom attributes, categories, and types. Tailor your change events to include all specifics needed for thorough system clarity.

Learn More

Learn how to get started in the docs

Enhanced session replay player: Visual markers, core web vitals, and full-screen mode

Tue, 17 Jun 2025 00:00:00 +0000

We're excited to announce significant enhancements to our session replay player, designed to provide richer insights into user experience and performance issues. These updates introduce visual markers for critical events, improved filtering, and a full-screen viewing option, empowering you to quickly pinpoint and address user friction points.

Enhanced session replay player

We've rolled out powerful updates to the session replay player, making it easier than ever to identify, analyze, and resolve user experience and performance problems.

Key changes:

Visual error markers: Red markers now appear directly on the replay timeline slider, instantly highlighting when JavaScript errors occurred during the user's journey.
Core web vitals indicators:
- Largest Contentful Paint (LCP) issues: Orange markers on the timeline pinpoint moments where LCP performance struggled.
- Interaction to Next Paint (INP) performance: A dedicated icon indicates instances of INP performance issues, helping you target interaction bottlenecks.
Smart issue aggregation: When multiple performance issues occur at the same timestamp, we now display a convenient count badge on the marker. Hover over the marker to see a complete list of all metrics and issues recorded at that specific moment.
Filtered view of visual markers: A new filtering mechanism allows you to selectively view these visual markers. This enables more focused analysis, helping you cut through the noise and concentrate on the most relevant performance or error events.
"Active Sessions" indicator: The session replay listing and player view now clearly indicate "Active Sessions." This means the last recorded user activity occurred within the past 30 minutes, allowing you to quickly identify current Browser users or those who recently completed their session. This offers immediate insights into the most current user behavior. Note that in the default 30-minute time window, most or all displayed sessions may appear as Active. To see a mix of active and completed sessions, expand your time range using the date/time filters.
Full screen mode: Session replays can now be viewed in full-screen mode, providing better visibility and a more immersive experience for detailed analysis of user interactions.

Benefits:

Quickly pinpoint performance pain points and JavaScript errors: Visual markers make it effortless to spot issues on the timeline.
Filter noise and focus on relevant sessions: New filtering options help you concentrate on what matters most.
Get a holistic view of real-time user issues: Combined markers and smart aggregation offer comprehensive insights.
Improve collaboration across teams with richer context: Share replays with precise visual cues to streamline communication.

Who's affected:

If you use Session Replay, you'll immediately benefit from these visual enhancements. The new markers and indicators appear automatically on existing and new session recordings. If you're analyzing high-traffic applications, the filtering and grouping features will be particularly valuable for efficient issue triage and faster problem resolution.

Now Available: Queues and Streams Monitoring

Wed, 25 Jun 2025 00:00:00 +0000

New Relic’s Queues and Streams Monitoring provides engineering and operations teams with a unified, low-to-no-code solution to monitor, troubleshoot, and optimize data pipelines across Kafka, RabbitMQ, Amazon Kinesis, and other platforms.

Message queues and streaming services are foundational to modern, event-driven architectures—but they’ve historically been hard to monitor. Gaps in visibility can lead to silent bottlenecks, delayed processing, and undetected data loss. With New Relic, you now have real-time observability across your entire streaming stack—all in one place.

What Makes Queues and Streams Monitoring Unique:

Full-topology visibility: Map every cluster, broker, topic, and consumer group with drill-down navigation.
Root cause clarity: Correlate queue issues with downstream services for faster resolution.
Lag and throughput tracking: Detect consumer lags, throughput drops, and partition-level latency in real time.
No code changes needed: Start monitoring without modifying producers, consumers, or pipelines.
Streamlined setup: Get started with minimal configuration across cloud and on-prem systems.

Learn more in our blog posts and documentation:

Send notifications directly to Microsoft Teams

Mon, 16 Jun 2025 00:00:00 +0000

We're simplifying the process of sending notifications to Microsoft Teams. You can now integrate New Relic with Teams to receive critical alerts and updates directly in your channels. Previously, customers needed to configure a webhook or design a workflow within Microsoft Teams using the Workflows app to send alert notifications. With the new integration, you can easily install the New Relic for Microsoft Teams app to connect and send notifications directly to Teams channels in just a few clicks.

To get started, check out our documentation.

Nested Variables for Dashboards

Mon, 30 Jun 2025 00:00:00 +0000

Template variables are already a powerful tool for filtering an entire dashboard based on creator-selected metadata. Nested Variables take this further by allowing you to create dependent relationships between them. This enables you to:

Create parent/child relationships: Form a tree-like structure for multi-level filtering.
Reuse and dynamically change variables: Efficiently filter data based on other variables' selections.

Key features

Parent/Child relationships: Establishes hierarchical links between variables.
Dynamic data changes: Automatically updates displayed data.

Learn more

Logs Cross Account Query in the Unified Query Explorer

Tue, 01 Jul 2025 00:00:00 +0000

Search, View, and Analyze Logs Across All Your Accounts

At last, you can search and analyze all your log data across every account from a single place in the Unified Query Explorer. No more switching contexts to find the logs you need.

Summary

As your organization scales with New Relic's multi-account structure, we know how crucial it is to have a centralized view of your data. That's why we're excited to announce that you can now search, aggregate, and view log data in the Log Table from multiple accounts directly in the Query Builder. This update eliminates the pain of querying individual accounts, allowing you to easily analyze logs from across your entire organization in one unified Log Table.

Key Benefits

Gain a Centralized View of Your Logs: Search and filter log data in the Log Table visual from all your accounts in a single query from within the Query Builder or UQE. No more switching between accounts to hunt down the information you need.
Accelerate Root Cause Analysis: Quickly search for specific customer IDs, error messages, or other key identifiers across your entire account structure to find the root cause of issues faster than ever before.
Unlock Deeper Insights: Easily aggregate log data from multiple environments, such as different Kubernetes clusters spread across various accounts, to get a complete picture of your system's behavior.
Perform Advanced Analysis at Scale: Use powerful features like aparse(), and regex on log data from all your accounts to uncover trends and insights that were previously out of reach.
Add Queries to Dashboards: With cross account query you can save the Log Table widget to any dashboard. To view which account a log belongs to simply include the accountId() function in your query SELECT *, accountId() as ‘accountId’ FROM Log

Pinpoint performance issues: Advanced filtering for page views and Core Web Vitals

Wed, 09 Jul 2025 00:00:00 +0000

We're excited to roll out a significant upgrade to how you interact with your Browser Page Views and Core Web Vitals data. This isn't just a visual refresh. It's about giving you more control and clarity, enabling you to pinpoint critical performance information faster and more effectively than ever before.

What's new and how it helps you:

Data exploration: Our redesigned filter bar puts the power of precise data analysis at your fingertips. No more digging around. The quick-access search bar is now prominently at the top, allowing you to instantly begin refining your view.
Filtering for focused results: Need to combine multiple criteria to zero in on a specific issue? The new, intuitive filter addition with a simple + icon makes building complex queries a breeze. Plus, with all filters now using the AND logic, you'll get more precise and relevant results, cutting down on noise and helping you identify patterns that truly matter for your website's performance.

Windows node monitoring for Kubernetes is now in Public Preview

Fri, 04 Jul 2025 00:00:00 +0000

We're excited to announce the Public Preview of our Windows nodes monitoring for Kubernetes! This has been a long-requested feature, and we're thrilled to bring our comprehensive monitoring capabilities to your hybrid clusters.

You can now monitor your Windows nodes within your Kubernetes clusters, gaining visibility into performance metrics and ensuring the health of your entire K8s environment, regardless of the operating system. This initial release focuses on providing foundational monitoring for Windows worker nodes.

Key features

Effortless Installation: Get up and running quickly with a straightforward installation process that provides single command to instrument your cluster.
Support for Mixed-OS Clusters: Monitor clusters with both Linux and Windows nodes, with data seamlessly integrated into the New Relic UI.
Comprehensive Windows Telemetry: Collect crucial telemetry, including metrics, logs, and events from your Windows nodes.
Broad Compatibility: Our solution is compatible with EKS, AKS, and GKE running Windows Server 2019 and 2022.

How to get started?

Getting started is easy with our guided install or by following the documentation.

Guided Install: Go to Integrations & Agents, click the Guided install tile, and select Kubernetes.
Check our docs:

As this feature is in Public Preview, your feedback is invaluable. Please don't hesitate to reach out with any questions or suggestions.

Your browser data, your terms: New control options

Thu, 10 Jul 2025 00:00:00 +0000

Recognizing the critical need for robust data privacy controls and streamlined management of browser-side data, we've consolidated how you manage session traces and session replay. This update provides a more immediate and transparent way to control data collection related to user sessions.

Key updates:

Unified session data control: The Access browser local storage toggle is now the central control for all session-level data captured by the browser agent, including session traces and session replay.
Comprehensive data disablement: When this toggle is turned off, the New Relic browser agent will halt its use of the browser's persistent storage mechanisms. This action immediately prevents the collection of all session trace and session replay data, providing you with direct command over the browser's handling of session-related information.
Simplified management: This change addresses the demand for a clear, single point of control over how session IDs and other session-level attributes are collected, enhancing your ability to meet data privacy and compliance requirements.

This update doesn’t require any agent update on your end.

APM + OpenTelemetry Convergence GA

Mon, 21 Jul 2025 00:00:00 +0000

Engineering teams that adopt OpenTelemetry (OTel) face challenges such as inconsistent application performance monitoring (APM) experiences, manual data normalization, and fragmented visibility. New Relic’s APM + OTel Convergence addresses these issues by automatically normalizing OTel data to New Relic's APM semantic conventions, providing immediate and consistent visibility.

Key Benefits:

Full APM Functionality for OTel Data: Instantly access familiar metrics, dashboards, and workflows with OTel signals—no additional configuration or compromise.
Quick Start, No Overhead: Send data directly to New Relic's OTLP endpoint without needing extra agents or exporters.
Seamless Migrations: Easily transition across instrumentation styles and OTel versions without needing to rewrite dashboards or alerts.
Unified Platform: View and monitor both New Relic agent and OTel data in one unified interface.

Start leveraging OpenTelemetry seamlessly within New Relic’s unified platform today.

Find out more:

Password Protection (Public Dashboards)

Wed, 30 Jul 2025 00:00:00 +0000

Secure your sensitive operational data with New Relic's new Password Protection feature for Public Dashboards! This exciting new capability allows you to add a password to your shared dashboards, ensuring only authorized individuals can access them. With auto-generated, complex passwords, session-based access, and API control, you can confidently share insights externally or with specific internal teams without compromising security. Plus, keep an eye out for upcoming enhancements like custom password options and more granular usage tracking!

Key features

Password generation: Passwords are auto-generated and highly complex.
Password storage: New Relic DOES NOT store the plain-text password. It's only displayed once upon creation or reset. Users must copy and securely store the password themselves.
Session-based access: Once a user enters the correct password, they will have access to the dashboard for a 3-hour session. They will not need to re-enter the password during this period unless the session expires or their browser closes.
reCAPTCHA: A reCAPTCHA challenge may appear on the password entry page, particularly after multiple failed attempts.
API control: Full control over enabling, disabling, and resetting passwords is available via NerdGraph API.
UI control: Users can enable/disable password protection and initiate a password reset.

Learn more

Deep query analysis for databases now generally available

Tue, 22 Jul 2025 00:00:00 +0000

We are excited to announce the General Availability (GA) of enhanced database performance monitoring. Now you can get deep query-level details—including slow queries, wait types, and execution plans—directly from your MySQL, PostgreSQL, and Microsoft SQL Server instances.

This update empowers DBA and infrastructure teams to find and fix performance bottlenecks faster, without relying on APM agents.

Key features

Empower DBAs: Give database owners the query-level tools they need, independent of application instrumentation.
Pinpoint bottlenecks: Move from identifying a slow query to understanding why it's slow with detailed wait types and explain plans.
Unified hybrid monitoring: Standardize monitoring across your entire estate, including self-hosted databases and AWS Aurora/RDS.

For more detailed installation instructions and further information on specific database types, refer to our documentation and blog:

Kubernetes monitoring with OpenTelemetry is generally available!

Tue, 01 Jul 2025 00:00:00 +0000

OpenTelemetry observability for Kubernetes provides a complete, open-source setup paired with a top-notch Kubernetes UI that is already compatible with our proprietary Kubernetes instrumentation.

By integrating Kubernetes components into our NRDOT collector, we can transmit metrics, events, and logs directly to New Relic. These telemetry signals automatically enhance our out-of-the-box experiences such as the Kubernetes Navigator, overview dashboard, Kubernetes events, or Kubernetes APM summary page.

How to get started?

Getting started is easy—just run a helm install command to enable Kubernetes observability with open-source monitoring. For installation details, visit our documentation.

Benefits

Avoid Vendor Lock-in: Embrace open standards with our OpenTelemetry-based solutiongiving you the freedom to select the best observability options for your needs without being tied to a single vendor.
Streamline Data Collection and Reduce Costs: Unify all your Kubernetes telemetry while controlling the high costs of granular OpenTelemetry data. Our optimized default configuration automatically reduces data ingest, saving you money and eliminating the toil of manual setup.
Get Enterprise-Grade Support: Rely on quick and effective support from New Relic's experts for your open-source instrumentation, allowing you to resolve issues faster than relying on community forums.

Key features

Compatibility with Multiple Platforms: Support for EKS, AKS, GKE, Red Hat OpenShift, and on-premise clusters.
Kubernetes Entities: Take advantage of the entity-based capabilities provided by New Relic.
Helmless/Manifest Installation: Install K8s OTel monitoring without Helm charts by simply applying manifest files.
Support for Third-Party Collectors: While we recommend using our NRDOT collector, customers can use other distros as long as they meet the requirements specified in our documentation.
Optimized Data Ingest: Benefit from our default configuration, which streamlines the heavy and granular OpenTelemetry ingest.
Flexible Configuration: Easily add your own collector configs without conflicting with default configs provided by New Relic.
Prometheus Service Discovery: Automatically detect Prometheus endpoints.
Predefined Alerts: Stay informed with automatic notifications to quickly detect any anomalies.
Multi-Account Support: Easily route your telemetry to different accounts.
Proxy Support: Ensure secure connections with integrated proxy configurations.
OpenTelemetry Customer Support: Receive dedicated support from New Relic, offering guidance typically unavailable when using OpenTelemetry independently.

Learn more

Learn how to get started in the docs

Agentic integrations for GitHub Copilot and ServiceNow now generally available

Tue, 15 Jul 2025 00:00:00 +0000

New Relic is thrilled to announce the general availability of its agentic integrations, featuring support for GitHub Copilot and ServiceNow. These groundbreaking integrations enhance IT operations by embedding real-time insights and automation within existing workflows, bringing unparalleled efficiency and decision-making capabilities.

Agentic integrations: Empower your IT operations

Agentic AI elevates enterprise IT by transforming observability data into actionable intelligence within user-preferred tools. Now, with the integration into GitHub Copilot and ServiceNow, New Relic empowers IT teams to automate actions and streamline service management directly within their platforms.

New features

Role-based access control (RBAC): Granular control over access to integrations.
Expanded toolset: End User Impact Issue Analyzer, Incident Insights Report, and more.

Current integrations

GitHub Copilot integration: Integrates intelligent insights right at the developer's fingertips, enhancing decision-making and reducing troubleshooting time.
ServiceNow integration: Automates incident resolution processes, improving efficiency without manual intervention across systems.

Pricing and availability

Agentic integrations are charged per Advanced CCU and available exclusively to Advanced CCU customers.

Learn more in our blog posts and documentation:

Compute Budgets now generally available

Wed, 30 Jul 2025 00:00:00 +0000

We are excited to announce the General Availability (GA) of New Relic Compute Budgets, a new feature empowering administrators with proactive cost management capabilities. You can now set granular monthly budgets, monitor usage against those budgets in real-time, and receive timely notifications.

This update allows you to monitor your observability spend effectively, ensure cost predictability and stay aligned with your financial goals. It also reduces your administrative overhead and enhances cost-effectiveness by eliminating manual budget tracking efforts.

Key Features

Default Organization Budget: Start with an automatic Organization budget, set to your contract value and editable by your Organization Manager as needed
Flexible Budget Creation: Set custom monthly budgets for your accounts. Whether it's for a single account or grouped accounts, customize budget limits based on specific compute usage.
Real-Time Budget Monitoring: Track actual usage against your set budgets in real-time, without impacting billable usage
Proactive Notifications: Define usage thresholds at which you wish to receive notifications and get notified via Email or Webhooks based on actual usage to ensure you stay ahead of your spending limits

Empower your engineering teams to leverage observability tools effectively while maintaining financial predictability!

Learn more in our blog posts and documentation:

Augmenting User Experiences: Leveraging Session Replay for Core Web Vital Optimization

Thu, 31 Jul 2025 00:00:00 +0000

We're excited to announce a powerful new update to the Browser performance monitoring that directly connects your Core Web Vitals (CWV) data with our Session Replays feature.

The Problem We're Solving

Previously, identifying and troubleshooting the root cause of poor Core Web Vitals performance could be a time-consuming process. You could see that your Largest Contentful Paint (LCP) was high or your Interaction to Next Paint (INP) was slow, but you lacked a quick, direct way to see exactly what users were experiencing. This often involved manual guesswork, searching through logs, or attempting to recreate the issue on your own.

What's Changed

We've integrated Session Replays directly into your CWV data tables across various dashboards, including:

Geography: See which countries are experiencing the slowest performance and watch real user sessions from those locations.
Operating System: Understand if performance issues are isolated to specific OS types.
Device Type & Browser: Quickly pinpoint if a particular browser or device is a root cause.
Page URLs: Focus on the exact pages where CWV metrics are struggling.

You'll now see the Session Replays column next to your CWV metrics (LCP, INP, CLS) in these tables. This column shows the count of available session replays for that specific data point.

How to Use the New Feature

Clicking on the session replay count will take you directly to the Session Replay list view. The view will be pre-filtered to highlight the sessions most relevant to the performance issue. The filter priority is set to address the most critical CWV issues first:

Largest Contentful Paint (LCP): Sessions with a poor LCP will be prioritized.
Interaction to Next Paint (INP): If LCP is good, we'll focus on sessions with slow INP.
Cumulative Layout Shift (CLS): Finally, sessions with high CLS will be highlighted.

This new workflow allows you to move from identifying a problem (e.g., high LCP for a specific page) to observing the user experience (watching the session replay) in a single click.

Use Cases & Benefits

Faster Root Cause Analysis: Instantly move from a metric to a visual representation of the user experience. See firsthand what is causing a poor LCP or a slow INP without digging through code and logs.
Prioritize Fixes with Real-World Context: Instead of just knowing a page is slow, you can watch a replay and see a large image loading late, a script blocking rendering, or a pop-up causing a layout shift.
Validate Performance Improvements: After deploying a fix, you can use the Session Replays count to monitor if the sessions associated with the CWV issue are decreasing, providing a clear way to validate your efforts.

Who is Affected?

This update is now available to all users with Browser entity instrumentation and Session Replays enabled. It is particularly beneficial for Product Managers and Developers focused on enhancing user experience and performance.

We anticipate this integration will greatly simplify your performance analysis, leading to the creation of faster and more reliable web applications.

Note: If you're not seeing session replays for a specific CWV data point, your sampling rate may be too low. To capture more sessions and troubleshoot effectively, you can increase the sampling rate for both total and errored sessions in your Browser Application settings.

To adjust your sampling rate:

Go to your Browser app's settings.
Find the "Session Replay" configuration.
Increase the sampling rate percentages for "Total sessions" and "Sessions with errors"

Note: You must have Session Replay Modify/Update permissions.

You can now sort by Newest Errors

Tue, 08 Jul 2025 00:00:00 +0000

New Feature: Sort by Newest Errors

We're excited to announce that you can now sort errors in your Errors Inbox by newest first, making it easier to identify and prioritize the most recently occurring issues in your applications.

How It Works

The new sorting option appears in the Errors Inbox’s Sort By drop-down alongside existing sorting methods - Occurrences and Last Seen. Select "Newest" from the sort drop-down to view your errors with the most recent occurrences at the top of the list.

This enhancement streamlines your error management workflow by allowing you to quickly spot emerging issues and newly introduced bugs. Whether you're monitoring a fresh deployment or investigating recent changes, sorting by newest errors helps you focus on what's happening right now in your applications.

P.S. The "Sort by Newest" feature will display only the most recent errors that occurred during your selected timeframe. To view the newest errors within a specific timeframe, adjust your time picker to the desired period.

NRQL Predictions and Predictive Alerting are now Generally Available

Tue, 22 Jul 2025 00:00:00 +0000

New Relic is excited to announce the general availability of Predictive analytics, featuring NRQL predictions and Predictive alerting. These powerful tools help allow you to anticipate issues before they arise and take proactive measures to optimize system performance, providing foresight into your system's behavior to enhance your observability strategy.

NRQL predictions: Visualize future trends

NRQL predictions leverages historical data patterns to forecast future metric trends using the Holt-Winters algorithm and supports both seasonal and non-seasonal time series, making it ideal for metrics with strong trends or defined seasonal patterns. By integrating predictions into your dashboards, you gain a quick visual indicator of where your metrics are headed, enabling timely interventions.

Monitor increasing logs in production to prevent disk space exhaustion.
Anticipate memory depletion to avoid container crashes.
Project future revenue based on observed seasonal and trend patterns.

Predictive alerting: Proactive issue detection

Predictive alerting complements NRQL predictions by generating alerts when predicted metrics are expected to breach static thresholds. This feature empowers you to address potential issues before they impact your system, enhancing productivity and decision-making.

Receive notifications when critical application metrics trend toward set limits.
Get advance alerts for disk capacity nearing its limit to plan upgrades.

Pricing and usage

Predictive analytics features is an Advanced Compute Product feature offered as an add-on or as a part of the Compute pricing model. For detailed pricing information, please contact our sales team or refer to your Order.

Learn more in our blog posts and documentation:

Cardinality controls

Tue, 26 Aug 2025 00:00:00 +0000

New Relic introduces Cardinality Controls, a solution that helps you manage dimensional metrics as your data needs grow. You can now purchase additional account cardinality beyond the standard 15 million metric limit, with expanded capacity up to 200 million metrics per account.

This feature eliminates unexpected costs when you hit cardinality limits. Instead of facing service disruptions, you can scale your observability data based on your actual usage and budget. Cardinality Controls gives you flexibility to optimize your monitoring investments while maintaining complete visibility into your systems. For more information about cardinality management, refer to Manage cardinality.

Collect marks and measures with the browser agent

Tue, 30 Sep 2025 00:00:00 +0000

We're excited to announce that New Relic Browser offers the ability to capture any marks and measures you are setting in your application code. Marks and measures are standard methods to observe and report on the performance of your web pages. They're generic events native to the browser and will be stored as BrowserPerformance events. With this telemetry data, you can:

Gain Front-End Insights: Use marks and measures to capture any number of task durations in your web apps that are key to your business insights or app health. Read our blog for what we track at New Relic.

Include in Custom Dashboards: Query the BrowserPerformance event and then add this data to any new or existing, custom dashboards to track performance metrics. Here is an optional, example dashboard for marks and measures to install.

Monitor Health via Alerts: Also you can set up NRQL alert conditions to monitor the health of these metrics in your apps. See our docs.

In addition to key measurement durations, you can even opt to collect any custom details from the native Performance API that would then be added to the BrowserPerformance event as well. In the browser UIs, you would be able to filter for these attributes or query for them to include in custom dashboards.

UniqueCount High Precision Mode and Increased Argument Support is now Generally Available

Wed, 13 Aug 2025 00:00:00 +0000

We are excited to announce the general availability of a high precision mode and increased argument support for the uniqueCount() NRQL function. These new features will allow you to make your uniqueCount() queries more powerful and accurate, giving you greater confidence in your results.

Obtaining Higher Precision Results From UniqueCount

The uniqueCount() function returns the number of unique values recorded for one or more attributes. It provides exact results for up to 256 unique values, and if more are found it will give an approximate result with a standard error of 3.25%.

You can now supply a precision argument to uniqueCount() with a value in the range of 256 - 50,000 to increase the threshold for exact results up to 50,000! Higher precision values also proportionally reduce the standard error when returning an approximate result, with a precision of 50,000 having a standard error of 0.14%.

Increased Argument Support Within UniqueCount

The uniqueCount() function accepts one or more arguments and returns the number of unique combinations of all the arguments provided. The uniqueCount() function previously allowed a maximum of 20 arguments. You can now use the uniqueCount() function with up to 32 arguments!

Check out the uniqueCount() function documentation for more details.

New Relic Agent Control and Fleet Control are now generally available for Kubernetes!

Tue, 30 Sep 2025 00:00:00 +0000

We're thrilled to announce the General Availability of New Relic Control for Kubernetes, a major milestone in observability management that brings together Agent Control and Fleet Control as a unified, intelligent control plane to manage observability at scale.

Agent Control acts as the essential lightweight supervisor installed on your clusters to keep infrastructure instrumentation healthy and configurations up to date and compliant. Fleet Control serves as the remote command center, centralizing configurations and deployments with safe, progressive rollouts, RBAC permissions, and a clear audit trail.

In addition, we're excited to launch a Public Preview of Fleet & Agent Control for Linux host-based fleets, extending the same remote instrumentation management capabilities beyond Kubernetes to Linux host environments.

This release eliminates the high complexity and toil of agent lifecycle management so you can maintain an optimized and consistent observability posture with minimal operational overhead.

Key features

Agent Control: Instrumentation supervisor for Kubernetes

Agent Control is a lightweight, Kubernetes-native supervisor that installs on your clusters to manage New Relic and open source telemetry agents. It keeps your instrumentation healthy and in sync with remote configurations received from Fleet Control.

Seamless remote updates: Agent Control can remotely update itself and its managed agents to stay current with the latest features and security patches.
Kubernetes-native design: Leverage a declarative approach to agent management, ensuring consistency across your entire environment with a single source of truth for agent configuration.
Enhanced security and control: Robust security features include integration with Kubernetes Secrets and Vault for credential handling and system identities for secure, authenticated onboarding.
Expanded agent support: This release includes support for a curated set of infrastructure agent types, including the New Relic infrastructure agent, New Relic eBPF agent, Fluent Bit, Prometheus, and New Relic OpenTelemetry collector (NRDOT).

Fleet Control: Centralized management at scale

Fleet Control is the centralized command center to define and reuse configurations across fleets and deploy instrumentation changes with safe, progressive rollouts. It enables consistent deployments at scale with deployment rings, fine-grained RBAC permissions, and a full audit trail.

Centralize agent operations: Install, monitor, configure, and update managed agents and integrations across your environment from a single experience and API.
Customize fleets for bulk management: Group your Kubernetes clusters into logical fleets based on instrumentation needs and easily make changes to the entire fleet in a few clicks.
Prevent configuration drift: Maintain consistent, compliant configurations across all entities in a fleet, eliminating hidden observability gaps and reducing manual toil.
Delegate access with confidence: Define RBAC roles and assign fine-grained access permissions to control who can change what and track every action with a clear audit trail.

Get started and learn more

To begin centrally managing instrumentation on Kubernetes clusters, install Agent Control on your clusters, then use the Fleet Control to define configuration and roll out changes to your agents across fleets.

Fleet Control and Agent Control for Linux host-based fleets are also available in Public Preview and your feedback is invaluable. We encourage you to try it out and let us know what you think!

New Relic AWS Metric Streams Integration Now Supports OpenTelemetry 1.0 Format

Mon, 13 Oct 2025 00:00:00 +0000

We're excited to announce a significant enhancement to our AWS infrastructure monitoring capabilities. Our AWS CloudWatch Metric Streams integration now supports the OpenTelemetry (OTel) 1.0 output format. This update allows you to leverage the latest industry standards for telemetry data, providing a more efficient and future-proof way to stream metrics from your AWS environment into New Relic.

What's Changed

You can now configure your AWS Metric Stream integration to send data using the OTel 1.0 format, which uses an efficient binary protobuf encoding. To ensure backward compatibility and a seamless transition for existing users, our updated CloudFormation and Terraform integrations will continue to default to the OTel 0.7 format. You can easily change the default to use the new 1.0 format.

This enhancement provides several key benefits:

Improved Performance and Efficiency: Use the highly efficient binary protobuf format of OTel 1.0, reducing data transfer volume and processing overhead compared to JSON-based formats.
Richer Metadata and Future-Proofing: Align with the latest OpenTelemetry standards, ensuring compatibility with future enhancements and enabling richer, more detailed metric attributes.

How to Enable OpenTelemetry 1.0

You can enable the OTel 1.0 format based on your integration method.

CloudFormation Template

For New Stacks

When setting up a new stack with our latest template, you will have the option to select opentelemetry1.0 as the output format. The template continues to default to opentelemetry0.7.

For Existing Stacks

If you have an existing stack, you must perform a stack update.

Navigate to your stack in the AWS CloudFormation console.
Initiate an update and choose Replace existing template.
Provide the following updated template URL: https://nr-downloads-main.s3.amazonaws.com/cloud_integrations/aws/cloudformation/newrelic-cloudformation-mstreams.yml
Proceed with the stack update, selecting opentelemetry1.0 when prompted for the output format.

Terraform

Note: Support for the OTel 1.0 format is available starting with version 3.70.6 of the New Relic Terraform provider.

Our Terraform configuration uses the official newrelic provider to create the necessary AWS and New Relic resources. To enable OTel 1.0, you define a variable for the output format and set its value to opentelemetry1.0.

First, define the variable in your variables.tf file, defaulting to opentelemetry0.7 for backward compatibility:

variable "output_format" {
  description = "The output format for the CloudWatch Metric Stream. Use 'opentelemetry0.7' for OTel 0.7 or 'opentelemetry1.0' for OTel 1.0."
  type        = string
  default     = "opentelemetry0.7"
}

Then, in your main.tf, reference this variable in the aws_cloudwatch_metric_stream resource:

resource "aws_cloudwatch_metric_stream" "newrelic_metric_stream" {
  # ... other properties like name, role_arn, firehose_arn ...

  output_format = var.output_format

  # ... include/exclude filters ...
}

When you run your Terraform plan, you can set output_format to opentelemetry1.0 to enable the new format.

Manual setup

If you configured your integration manually, you can update the format directly in the AWS console.

Navigate to CloudWatch > Metrics > Streams.
Select the metric stream that forwards data to New Relic's Kinesis Firehose.
Click Edit.
Under Output format, change the selection to OpenTelemetry 1.0.
Click Save.

Automate your searches with Scheduled Search and Reporting (Preview)

Wed, 29 Oct 2025 00:00:00 +0000

Stop running the same NRQL queries over and over. Whether you're checking daily failed transactions or monitoring failures in your log data, manual reporting is time-consuming and makes it easy to miss insights.

We're excited to introduce Scheduled Search and Reporting (Preview). This new feature, built on our Workflow Automation platform, lets you automate your repetitive queries and delivers the results straight to key stakeholders inboxes on a schedule you control.

How it works

Automate any query: Turn any NRQL query into an automated workflow.
Flexible scheduling: Use standard cron expressions to run queries at any interval—every 15 minutes, daily at 9:00 AM, or the first day of every month.
Email notifications: Send results to multiple team members or email destinations.
Multiple formats: Get your query results as an attached CSV or JSON file, ready for reporting or analysis.
Centralized management: View, edit, and manage all your scheduled searches from a single page in the Administration UI.

Set up your email notification, schedule, and output format (CSV or JSON).

To get started, navigate to Administration > Scheduled Searches. Please note that you'll need Workflow Automation permissions to create schedules.

This feature is currently in preview and available for customers in US data centers.

New Region Support Added for AWS API Polling and AWS Cloud Watch Metric Streams Integrations

Fri, 03 Oct 2025 00:00:00 +0000

We are excited to announce the expansion of our AWS infrastructure monitoring capabilities. Support for both our API Polling and AWS Cloud Watch Metric Streams integrations has been extended to include four new AWS regions. This update allows you to gain complete visibility into your AWS services across an even wider geographical footprint, ensuring you have a comprehensive view of your entire infrastructure.

What's Changed

You can now monitor resources in four additional AWS regions, closing potential gaps in your observability strategy. By enabling these new regions in your integration settings, you can seamlessly pull metrics, tags and metadata into your dashboards, alerts, and analysis tools.

This enhancement provides several key benefits:

Eliminate blind spots
- Gain full visibility into your applications and services deployed in the newly supported regions. Ensure consistent monitoring coverage across your entire global AWS deployment.
Unified observability
- Integrate data from these new regions into a single, unified platform. View, query, and alert on performance metrics from all your environments without needing to switch between different tools or contexts.

The newly supported regions are detailed below:

Region Name	Region Code	Identifier
Asia Pacific (Malaysia)	ap-southeast-5	AP_SOUTHEAST_5
Asia Pacific (Thailand)	ap-southeast-7	AP_SOUTHEAST_7
Asia Pacific (Taipei)	ap-east-2	AP_EAST_2
Mexico (Central)	mx-central-1	MX_CENTRAL_1

New Relic MCP Server Launches into Public Preview

Wed, 05 Nov 2025 00:00:00 +0000

Unify your AI agents with a single, standard bridge to your observability data

New Relic is excited to announce that the New Relic AI Model Context Protocol (MCP) server is now available in public preview as of November 4th, 2025. This update provides a standardized, scalable way to connect your favorite AI development tools directly to the rich context of the New Relic platform, breaking down data silos and accelerating AI-driven operations.

Get started:

Navigate to the Previews & Trials page in the New Relic UI and enable the New Relic AI MCP Server preview.

MCP: A centralized bridge for AI-driven observability

Historically, connecting AI agents to observability platforms meant building complex, custom integrations for each tool. This integration sprawl creates significant development and maintenance overhead.

The New Relic AI MCP server solves this. It acts as a single, centralized bridge, allowing your AI agents to retrieve powerful context and tools from New Relic using one consistent protocol. This helps you and your AI:

Troubleshoot faster: Analyze error logs and find probable causes with AI-powered insights.
Automate operations: Perform tasks like checking alert statuses or generating incident reports.
Simplify queries: Ask questions in plain English, and the MCP server converts them to NRQL to get results—even if you're not a NRQL expert.

What's New in public preview

This public preview expands on our initial offering with key updates:

More approved partners: We've grown the ecosystem, allowing you to connect New Relic to more of the AI development environments you already use.
More tools: The MCP server now provides an expanded set of tools and capabilities for your AI agents to use, enabling richer queries and more powerful automation.

Check out our documentation to get started:

New Relic Outlier Detection in public preview

Wed, 05 Nov 2025 00:00:00 +0000

Proactively find "noisy neighbors" and abnormal behavior in your stack.

New Relic is excited to announce that Outlier Detection is now available in Public Preview as of November 4, 2025!

This feature automatically identifies entities (like hosts or containers) that are behaving significantly differently from their peers. Unlike anomaly detection, which tracks changes over time, outlier detection spots deviations within a group, helping you pinpoint problems early and reduce your MTTD and MTTR.

What's New in public preview

Based on feedback from our limited preview, we've made key improvements:

New 'Auto Mode': We've introduced an Automatic mode that dramatically simplifies setup. Just set your desired Sensitivity and New Relic handles the algorithm configuration for you.
Opt-In Required: For our valued users who participated in the limited preview, please note you will need to opt-in again to access the new Public Preview features.

Key use cases

Find imbalanced Kafka brokers with abnormal CPU I/O wait times.
Identify resource utilization outliers (both under- or over-utilized).
Detect "noisy neighbor" applications hogging shared resources.
Spot Java applications with abnormal Out of Memory (OOM) error rates.

Get started

Outlier detection is now available to try in public preview.

To create your first condition, navigate to All capabilities > Alerts > Alert Conditions. When you reach the Set thresholds page, simply select the outliers option. You can then choose the new Automatic Mode for simplicity or Manual Mode (DBSCAN) for fine-grained control.

Check out our documentation to get started:

Setup guide

Browser Update: Soft navigations improvements & New SPA launches

Tue, 11 Nov 2025 00:00:00 +0000

We’re launching improvements to the SPA browser agent that adopt soft navigation heuristics from Google, reduce conflicts with third-party libraries, simplify interaction determinations, and more.

What’s changing?

The new soft navigation release adopts heuristics from Google and includes a refactor of our SPA functionality/agent, reducing code conflicts with third-party libraries.

Currently, the SPA agent experiences occasional third-party conflicts, particularly around promises, which disrupts code functionality. Performance bottlenecks include conflicts with code using timers, RAF, and promise chaining, leading to some issues like slowdowns and freezes.

After the change, improvements include:

Unwrapped execution: By not wrapping core globals, the new SPA experience boosts execution speed for your application.

Aligned with soft navigation heuristics: Adopts Google Chrome's heuristics for more accurate interaction tracking and improved browser behavior alignment.

Simplified interaction determination: Interactions are now defined as a UI event (click/keydown/submit -> route change -> DOM modification), offering a clearer and more efficient capture approach.

Please note: Previously, we relied on wrapping many native browser APIs and a complex tracking system to now monitoring long running tasks (>= 50ms) on select callbacks. Metrics derived this way include jsDuration, timeToSettle, and timeToLastCallbackEnd.

For more details on Browser SPA monitoring, see our documentation.

For more on SPA data collection, see our docs here.

AI Log Alert Summarization (Preview)

Thu, 13 Nov 2025 00:00:00 +0000

When a log-based alert fires, the race to find the root cause begins. Sifting through thousands of log lines to find the "why" is time-consuming and stressful.

We're excited to introduce AI Log Alert Summarization (Preview), a new feature in our Logs Intelligence suite. Instead of just notifying you of a problem, this feature provides an immediate hypothesis for why it's happening.

AI Log Alert Summarization in action

How it works

When an alert issue is triggered by log conditions, the AI summary automatically analyzes over 100,000 log entries for the triggering entity from the contextual time window. It then gives you a clear, actionable summary right in the alert issue, including:

What happened: A detailed summary of the potential cause of the incident.
Findings: 3-4 key patterns, anomalies, or potential causes.
Recommendations: Detailed recommendations to go with each finding.

This analysis helps you understand the potential cause and resolve incidents faster by surfacing the critical information from thousands of logs in seconds.

To join the preview, login to New Relic select your account in the bottom left and select Administration -> Previews and Trials. Once in the Previews page find AI Log Summarization and accept the terms to get started.

Fine Grained Access for Logs

Tue, 04 Nov 2025 00:00:00 +0000

As your organization scales, managing who can access specific log data is vital for security, compliance, and data governance. Your security teams may need to monitor critical logs that contain sensitive information (PII), while development teams should only see logs relevant to their specific services.

We're excited to introduce fine grained access for log data. This new capability, available for Pro and Enterprise accounts, gives Administrator's fine-grained control over which users can view specific log data.

How it works

With Fine Grained Access control for Logs, you create policies that define exactly which log partitions users can access. These policies are assigned to access grants and allow you to:

Allow access: Grant access only to a specific set of partitions.
Deny access: Block access to specific partitions, like those containing sensitive data.
Use wildcards: Easily manage multiple partitions at once (e.g., log_prod% matches all partitions starting with "log_prod").

This enables you to restrict logs access to only the data a user should need. When a user belongs to multiple grants for an account, any deny policy will always override an allow policy.

Create policies to allow or deny access to specific log partitions from the Access Management UI.

Automate with the NerdGraph API

In addition to the UI, you can now manage your data access policies using our NerdGraph API. This is ideal for automating your security workflows and integrating with your existing identity and access management systems. You can use NerdGraph to programmatically:

Create, query, and update policies
Delete policies
Assign policies to access grants

Learn more about managing policies via NerdGraph.

To get started in the UI, users with the Authentication domain manager role can navigate to Administration > Access Management > Data access policies.

Errors Inbox is now integrated within Workloads

Wed, 06 Aug 2025 00:00:00 +0000

We are excited to announce that Errors Inbox now sits within Workloads, a simple-yet-powerful change designed to help you proactively detect, triage, and resolve errors with greater context and efficiency. By integrating Errors Inbox directly within your Workloads, you can now focus on the errors that are most relevant to the services and entities you care about without leaving the Workloads section, streamlining your incident response and reducing mean time to resolution (MTTR).

What's Changed:

The new scoped view is now available on the secondary level navigation within Workloads - allowing you to see only the errors that are impacting the specific entities within a defined workload. This means you can cut through the noise and immediately identify issues that are relevant to your team's area of responsibility.

This enhancement streamlines your error management by allowing you to:

Faster troubleshooting: By narrowing the scope of error analysis, you can pinpoint the root cause of issues more quickly without much context switching, all within workloads.
Improved team collaboration: Scoped Errors Inbox for Workloads allows your team to now have a shared view of the errors affecting their services, leading to better collaboration and a more efficient workflow for incident response.

How to Get Started:

To start using Scoped Errors Inbox for Workloads, simply navigate to any of your existing Workloads in New Relic. The "Errors" tab will now be available, providing you with a scoped view of all the errors within that workload. If you haven't created a workload yet, you can easily group your entities and create one to start taking advantage of this new feature.

APM+Serverless convergence with Rust-based extension now available

Tue, 09 Dec 2025 00:00:00 +0000

Serverless architectures have transformed how we build applications, but observing them has remained fragmented. Teams often struggle to trace requests that span traditional services and serverless functions, leading to blind spots and slower troubleshooting.

New Relic's APM+Serverless Convergence solves this by bringing serverless monitoring directly into APM, providing unified observability across your entire application stack—from containers and APIs to Lambda functions—all in one seamless view.

A single view for AWS Lambda and traditional applications

True APM-grade observability for serverless: Take advantage of transaction tracing, dependency mapping, and performance insights for your Lambda functions and serverless architecture.

Seamless stitching across your entire application journey: Watch requests flow from your traditional services through your serverless functions with complete visibility and context.

Platform-wide intelligence that drives real efficiency: Correlate serverless performance with your broader application ecosystem and uncover optimization opportunities.

By reducing context switching and providing AI-driven cost optimization, you'll detect and resolve issues faster—while lowering unnecessary cloud spend.

What makes New Relic's APM+Serverless convergence stand out

Unified view across your stack – Correlate Lambda invocation data, API calls, and database queries in one trace
Integration with all APM benefits – Serverless monitoring now provides easy access to all APM capabilities (TXN360, Error Inbox, NR AI, etc.) for Lambda functions
Faster root cause analysis – Trace errors, latency, and cold starts to pinpoint bottlenecks
Cold start and latency tracking – Detect high-latency invocations and failure patterns automatically
New Rust-based extension – Enhanced efficiency and reliability with our optimized Rust-based Lambda extension

Enhanced performance with rust

Our new Rust-based extension delivers improved performance and reliability for Lambda function monitoring. This optimization reduces overhead while providing more accurate telemetry data, ensuring your serverless functions run efficiently without compromising observability.

Get started

Ready to unlock full-stack visibility in your serverless applications? Learn more about APM+Serverless Convergence to start monitoring your complete application journey—without the guesswork.

Additional resources:

eAPM General Availability and eBPF Network Metrics Public Preview

Wed, 03 Dec 2025 00:00:00 +0000

Background

Our customers are faced with these challenges:

The first challenge is the traditional observability gap. Traditional APM tools lack kernel-level network and system metrics. This means that during an incident, it is difficult to pinpoint the root cause between application code issues and network-related issues.

Secondly, in microservices environments, customers often deploy heterogeneous agents. This creates operational overhead, potential agent conflicts, and requires application modification and restarts—significant pain points for DevOps teams.

The third problem is siloed data. After data is collected, correlating application logs with network spans and infrastructure metrics is manual and time-consuming, leading to incomplete observability.

With eAPM and eBPF network metrics, we aim to solve these problems by unification and simplification by pushing observability into the kernel. By operating at the kernel level, our single agent can simultaneously collect observability data including application span, logs, network traffic, and infra metrics. This natively eliminates the data silo problem. In addition, this approach simplifies rollout in microservices-heavy environments because we can now instrument the system without modifying applications.

What's New in eAPM (GA)

Architecture support: Full support for both x86 and ARM64 architectures.
Kubernetes and host support: Comprehensive Linux host support in addition to Kubernetes.
Simplified onboarding: Get started quickly with the dedicated Integration Tile for ease of installation.
Single-agent deployment: Only one agent is required per host or node.
Continuous service discovery: Automatically maps your application services and lights up your APM UI.
Segmented linking: Transactions now support multiple segments for deeper APM visibility.

Introducing eBPF Network Metrics (Public Preview)

Deep Dive into application communication with rich network behavior insights. This capability delivers granular TCP and DNS telemetry (for example, handshake latency, retransmissions, DNS failures, and many more) captured directly from the Linux kernel.

When correlated with your application telemetry, this unified view helps engineers pinpoint root causes faster, improve reliability, and eliminate the cost and complexity of multiple monitoring tools.

This capability is complementary to APM. It works independently of your APM instrumentation method, providing a complete picture of your application's network communication health.

Data Budgets now generally available

Tue, 09 Dec 2025 00:00:00 +0000

We are excited to announce the General Availability (GA) of New Relic Data Budgets, a new feature empowering administrators with proactive cost management capabilities. You can now set granular monthly budgets, monitor usage against those budgets in real-time, and receive timely notifications.

Key Features

Default Organization Budget: Customers begin with an automatic organization budget set to their minimum contract value, with the flexibility for Organization Managers to edit as needed; those without a minimum contract commitment can establish an Organization budget themselves.
Flexible Budget Creation: Customers can set custom monthly budgets for their account(s) and customize budget limits based on specific Data Ingest usage.
Real-Time Budget Monitoring: Track actual usage against your set budgets in real-time, without impacting billable usage.
Proactive Notifications: Customers can define ingest thresholds at which they wish to receive notifications and get notified via Email or Webhooks based on actual usage to ensure they stay ahead of their spending limits

Empower your engineering teams to leverage observability tools effectively while maintaining financial predictability!

Want to know more? Check out our Data Budgets Documentation.

New Relic Teams, Scorecards, Catalogs, Maps, and SAI GitHub integration now GA

Tue, 09 Dec 2025 00:00:00 +0000

New Relic announces the general availability of New Relic Teams, Scorecards, Catalogs, Maps, and Service Architecture Intelligence (SAI) integration with GitHub. Available in Advanced Compute pricing, these new innovations are designed to enhance IT team productivity and scale team performance.

Key Capabilities

These new features provide crucial context and collaboration tools:

New Relic Teams connect ownership information for interdependent resources in the tech stack and facilitate collaboration across the enterprise.
New Relic Scorecards help define, track, improve, and standardize engineering best practices that scale team performance.
New Relic Catalogs provide an inventory of services, APIs, repositories, infrastructure, and components in a customer's digital environment, establishing a central system of record with crucial context for each service.
New Relic Maps provides a dynamic, visual representation of your complex software systems, enabling you to understand dependencies, troubleshoot issues faster, and improve collaboration.
Entities & Relationships via NRQL simplifies your analysis by treating entities and relationships as queryable data within NRDB. This eliminates the need for complex cross-platform joins, allowing you to correlate system context with telemetry to resolve issues faster.
The New Relic SAI integration with GitHub allows users to import essential data on teams, team members, repos, owners, and pull request (PR) metadata directly into New Relic. This reduces configuration setup time for Teams, Scorecards, Catalogs, and other New Relic platform innovations.

These capabilities are included in New Relic’s Advanced Compute innovations. Billing is usage-based, optimizing spend by removing static license fees.

Want to know more? Check out our webpage for more information and our documentation.

Introducing the Cross-cluster UI Public Preview

Wed, 10 Dec 2025 00:00:00 +0000

As organizations scale their cloud-native infrastructure, the number of Kubernetes clusters grows exponentially. Managing these environments individually creates silos, making it difficult for Platform Engineers and DevOps teams to understand their fleet's overall health. Constantly switching between different cluster views to identify issues is inefficient and cumbersome, often leading to delayed mean time to detection (MTTD).

New Relic introduces the cross-cluster UI Public Preview to solve this fragmentation. This new experience delivers a centralized "single pane of glass" for your entire Kubernetes fleet, letting you visualize, filter, and compare cluster health in one place. By aggregating key metrics and status indicators, teams can identify cascading issues or regional outages instantly without navigating through multiple browser tabs.

Key features

Unified Fleet Visibility: View the health status and key metrics of all your Kubernetes clusters in a single, sortable list.
Global Filtering: Easily narrow down your view by filtering across all clusters using attributes like region, environment, or team labels.
At-a-glance Health Indicators: Instantly spot clusters with alerting conditions or resource bottlenecks using color-coded health statuses.
Seamless Drill-down: Navigate from the high-level fleet view directly into specific cluster dashboards for deep-dive troubleshooting with a single click.

This experience supports clusters monitored with the Kubernetes integration provided by New Relic and also our OpenTelemetry monitoring for Kubernetes.

Get started

To get started, navigate to the Kubernetes option in the main New Relic menu and click the "Try it out" button located in the top right.

Want to know more? Check out our docs.

Introducing Transaction 360: Unified, transaction-centric observability is here

Mon, 15 Dec 2025 00:00:00 +0000

New Relic's Transaction 360 is the industry's first transaction-centric observability solution designed to streamline troubleshooting—automatically correlating components, telemetry, and change data into a single, unified view.

Modern applications have become increasingly complex, featuring interconnected services and diverse components like serverless functions and AI models. Traditional monitoring tools often struggle to deliver the unified visibility required to diagnose issues, forcing teams to switch between multiple dashboards. This fragmentation slows down troubleshooting, increases MTTD/R, and leads to extended downtime.

New Relic's Transaction 360 solves this by providing a holistic, "east-to-west" view of your business-critical transactions. By combining transaction tracing and distributed tracing, it aggregates everything you need—APM, Browser, Infrastructure, alerts, and deployment changes—into one consolidated, context-rich experience.

A single view for business-critical transactions

Correlated observability: Get a comprehensive view showing all services involved in a transaction's journey automatically, without additional instrumentation.
Reduce data overload: Automatically aggregate entities and telemetry for problematic transactions, cutting through the noise to help you identify issues faster.
View and analyze related changes in context: Quickly understand the impact of recent deployments and configuration changes by viewing aggregated data across relevant entities to pinpoint the cause of slowdowns or errors.
Accelerate troubleshooting: Eliminate context switching with a comprehensive, full-stack, cross-trace view that spans extended historical periods rather than limited snapshots.

What makes Transaction 360 stand out

Unified transaction-centric observability: Combine all monitoring elements across different environments and data types with a single click.
Automatic Dynamic Workload Creation: Automatically aggregate entities, alerts, and changes for problematic transactions into one dynamic workload view.
Comprehensive Trace Flow Map: Leverage combined distributed tracing (DT) and transaction tracing for an unsampled flow map that spans days or weeks.
Instant root cause analysis: Isolate the impact of deployments immediately to enable faster rollbacks or fixes.

Proactively prevent issues

Manual monitoring of complex transactions is often reactive. Transaction 360 incorporates advanced, AI-powered anomaly detection to identify potential issues before they escalate. Automated alerts ensure rapid team engagement, dramatically reducing the mean time to detect and respond (MTTD/R) and safeguarding user experience.

Get started

Ready to streamline your troubleshooting? To use Transaction 360, first navigate to your New Relic account settings and enable distributed tracing. Then, log into New Relic One and go to APM and Services > Transactions > Transaction Details > View transaction 360 workload.

Streamlined access management experience

Tue, 09 Dec 2025 00:00:00 +0000

We've refreshed the access management experience to make user and access management faster and more intuitive. You can now manage granular permissions for all access grant types (Organization, Account, and Group) seamlessly within a unified interface.

Simplified access grants

We've streamlined the workflow for assigning permissions to make it easier to manage how users access your data. You can now create all access grant types-whether for an Organization, Account, or Group—directly from the Access grants tab.

This update removes the need to navigate the "Edit group" modal, providing a straightforward path for getting your access grants configured.

Full role management in the UI

You can now create all role types directly from the Roles tab. This update brings full management capabilities into the user interface, giving you a comprehensive visual builder for your permissions.

When creating a role, you can toggle between setting a role scope for the organization, specific accounts, or single entities. Today, you can only create entity-scoped access grants for your New Relic fleets. We will continue to enable more entity-scoped access grants for finer-grained access control of your assets. This new experience will give you fine-grained control over your entities without leaving the administration section.

General interface improvements

To ensure a consistent experience, we've also cleaned up the Accounts, Groups, and Data access policies tabs. These updates align with the new design, making it easier to scan, search, and manage your access configurations in one place.

Mobile Session Replay in Public Preview

Thu, 11 Dec 2025 00:00:00 +0000

We are excited to announce the Public Preview of Mobile Session Replay. This new capability allows you to review replays for your mobile apps synced with detailed telemetry data, giving you the context needed to understand user interactions and resolve issues faster.

What is Mobile Session Replay?

Mobile Session Replay provides a visual reproduction of user interactions within your mobile application. Unlike standard crash reporting, it allows you to review high-fidelity replays that are perfectly synced to detailed telemetry data, giving you a complete picture of the user journey alongside the technical performance data.

Why Mobile Session Replay?

Understanding user behavior is crucial for optimizing website usability and improving user experience. With Mobile Session Replay, you can:

Troubleshoot faster with full-stack visibility: Review replays synced to detailed telemetry data for faster troubleshooting to deliver better customer experiences.
Industry-leading Privacy & Security: No PII is collected out-of-the-box. Fully customizable masking and sampling settings can be updated server-side and are not dependent on latest app adoption.
Only record replays your teams care about: Use errored-session sampling to only record sessions when something breaks, or take full control and start/pause replays with the API.

Get started

Mobile Session Replay is available on the latest agents for iOS, Android, and React Native apps.

Dashboard operations for read-only users

Mon, 19 Jan 2026 00:00:00 +0000

Why it's changing

This change ensures that read-only access is enforced consistently across the New Relic platform, maintaining uniform governance and technical integrity.

Additionally, limiting dashboard creation to specific groups follows best practices for Compute Capacity Unit’s management, helping your organization maintain effective compute cost control and build confidence in your platform scalability.

What's changing

Standard read-only users can currently create, edit, and delete dashboards. Effective April 30, 2026, their dashboard access will be limited to view-only.

Actions to take

If you have users who currently rely on the read-only role but still need to manage dashboards, you can easily maintain their workflow by creating a custom role.

To configure continued access:

Navigate to the Admin settings to add or edit a role.
Locate the new Dashboards section within the role configuration.
Enable the specific permissions required for your users:
- View: Allows users to view dashboards (enabled by default).
- Modify: Allows users to create and edit dashboards.
- Delete: Allows users to delete or restore dashboards.

Note on permissions: These new role-based access controls (RBAC) work alongside existing dashboard-level permissions. For example, a user with the Modify role capability still can't edit a specific dashboard that has been individually set to read-only at the dashboard level.

Key dates

Mid-January 2026: In-product notifications will begin appearing in dashboard and admin pages to provide final warnings and instructions.
April 30, 2026: The capability removal becomes effective for all users assigned to the standard read-only role.

Enhance account security with multi-factor authentication

Wed, 28 Jan 2026 00:00:00 +0000

Protect your data and control access to your New Relic organization by enabling multi-factor authentication (MFA). This feature allows administrators to add an essential layer of security to authentication domains, ensuring that users provide two or more verification factors to gain access.

By requiring MFA, you significantly reduce the risk of unauthorized access resulting from compromised credentials. This feature is available for organizations that do not use a third-party identity provider (IdP) for SAML SSO but still want to maintain high security standards for their users.

To get started, navigate to the Authentication domains UI under Administration. From there, you can select an authentication domain and toggle the MFA requirement. Once enabled, users in that authentication domain will be prompted to verify their email at their next login and all subsequent logins. They will also receive ten backup codes the first time they are required to verify their email that can be used in case they cannot access their email. Ensure that your users copy these codes to a secure location.

Learn more about configuring authentication domains and securing your account.

Nomenclature changes - "Incidents" are now "Alert events"

Tue, 27 Jan 2026 00:00:00 +0000

Key Information for Users

Action Required: None. These updates are purely cosmetic and will be applied automatically to your workspace.

Operational Continuity: Your existing alert conditions, workflows, and account permissions will continue to function without interruption.

Visual Update: Starting 16th February 2026, all visual references to "Incidents" within the New Relic UI will transition to "Alert events."

Background

This shift supports a streamlined flow: individual Alert events are correlated into Issues, which can then be triaged to determine if they warrant a formal Incident response. This evolution ensures our platform remains intuitive and consistent with the industry's direction, providing you with a clearer path from initial signal to resolution.

Soon we will be introducing the formal concept of an Incident on the New Relic platform, which will round out the three-part flow and align our platform terminology with common ITSM practices as we develop more incident management and response features. By aligning our language across the platform, we are making it easier for you to navigate and manage your operational health and identify real problems faster.

What's changing

Updated terminology

We are updating naming across the following areas to ensure a unified and simplified experience and pave the way for more incident management features on the New Relic platform:

Alert condition builders: The term "Incident" will be changed to "Alert event" across all alert condition building and editing experiences.
Decisions UI: Terminology within the Decisions capability—including builders, previews, logic samples, and tooltips—will be updated. For example, "Entire incident" will now be labeled "Entire alert event."
Muting rules: All visual references to "violations" and "incidents" within Muting Rules configuration and management views will be updated to "Alert events."
Workflows & notifications: Terminology within Workflow configurations and notification templates (email, Slack, etc.) will reflect the new "Alert event" standard.
Admin panel: Access management roles and account-level privileges will be updated from "Incident" to "Alert event" for better clarity.
Issue page: All visual references on the Issue details page and associated views will be renamed to "Alert events."

Dynamic runbooks with Notebook in Public Preview

Wed, 25 Feb 2026 00:00:00 +0000

New Relic Notebooks enables you to create structured documents with individual blocks for queries, visualizations and text. This helps facilitate collaborative data analysis and storytelling, investigation, and the saving and sharing of analytical workflows. (Sign up for Preview)

Notebooks is designed to help users sequentially build and refine queries, compare results to find anomalies, and document their investigation process for future reference and collaboration, turning temporary troubleshooting into dynamic, reusable runbooks.

Find out more:

Decoupled browser logs configuration: Independent controls for console and manual logs

Tue, 23 Dec 2025 00:00:00 +0000

We're excited to announce decoupled browser logs configuration. This new capability allows you to independently manage console logs and manual logs, giving you precise control over what data you collect and how much you spend on browser observability.

What is decoupled browser logs configuration?

Decoupled browser logs configuration gives you separate controls for the two types of browser logs:

Console logs: Automatic console logs captured from your application
Manual logs: Custom logs you've instrumented through the New Relic API

You can now enable, disable, and configure verbosity and sampling for each log type independently, allowing you to optimize your browser observability strategy without compromising on the data that matters most to your team.

Why decoupled browser logs configuration?

Effective browser monitoring requires the right balance between visibility and cost. With decoupled browser logs configuration, you can:

Stop paying for noise: Reduce or disable high-volume console logs from third-party libraries while keeping the custom logs that matter to your team.
Debug without compromise: Temporarily capture verbose console logs during troubleshooting without changing your production manual logging strategy.
Tailor your strategy: Set different sampling rates and verbosity levels for each log type based on your specific needs and budget.

Get started

Decoupled browser logs configuration is available on agent version 1.306.0 and above. Navigate to your application settings to configure console and manual logs independently.

Collector Observability Public Preview

Tue, 24 Feb 2026 00:00:00 +0000

New Relic’s Collector Observability provides customers with a dedicated, first-class experience for monitoring the health and performance of their OTel Collectors, a proxy that acts as the ‘middleware’ for a business’s observability data. Operating OTel Collectors can leave engineers flying blind because it’s a challenge to distinguish between resource saturation, configuration errors, or connectivity issues. New Relic’s Collector Observability capability reduces these barriers and provides real-time visibility into collector health and performance. This empowers customers to resolve bottlenecks before they lead to data loss, ensuring a seamless and scalable path to OTel adoption.

Key Benefits:

End-to-end pipeline health monitoring visualizes the entire "receive-process-export" lifecycle to pinpoint misconfigurations and bottlenecks instantly.
Predictive resource saturation to track CPU and memory consumption to identify memory leaks and prevent collector crashes before they occur.
Real-time backpressure detection surfaces internal queue usage to identify overwhelmed collectors before they start dropping telemetry data.

Start leveraging OpenTelemetry seamlessly within New Relic’s unified platform today.

Find out more:

The new New Relic homepage (public preview)

Tue, 24 Feb 2026 00:00:00 +0000

Your personalized launchpad

The new homepage is built to be your starting point for the day.

Scope your view: Use the Select entities button to choose the specific services you find yourself checking most often.
Performance-minded limits: You can scope your view to include up to 500 entities across all your accounts to maintain high performance.
Private customization: You can personalize your homepage as much as you want—your changes are private and won't affect anyone else in your account.

Spot issues with system health

The Your system health section provides a real-time summary to help you spot exactly where your attention is needed.

Health summaries: View a clear count of critical, warning, and operational alerts, along with entities that have no alerts set up or are not reporting data.
Status filtering: Use the filter tool to focus only on specific health states, such as critical and warning, to clear away unnecessary information.
Direct entity access: Use the health icons to quickly identify and navigate to specific entities.

Correlate change with performance

The What's changed widget provides a timeline of events to help you troubleshoot faster.

Event timeline: Track issues, deployments, error groups, and synthetics failures in one place to see how they line up over time.
Interactive discovery: Click on any event to see more information and navigate directly to the relevant place in the UI for deeper troubleshooting.
Zoom to focus: Zoom into problematic areas by brushing across the visualization to see a more granular view of the event timeline.

Dashboards at your fingertips

Your favorite dashboards are now front and center, acting as a quick-reference guide for your most critical metrics.

Custom cover charts: You can change the cover charts of your favorite dashboards to see specific data points at a glance without opening the full dashboard.
Easy access: Track the dashboards you use most often and navigate to them with a single click.

Consolidated global favorites

The All your favorites widget provides a single destination to access your most important assets from across the New Relic platform.

Access everything: Quickly find any favorite entity, whether it's an APM service, a dashboard, or a specific host.
Recently viewed: Toggle to the Last viewed tab to immediately return to the entities you were working on most recently.
Local filtering: Use the widget-specific filter to sort your favorites by type, such as APM & services, Alerts & AI, or Infrastructure.

How to get started

As this is currently in Public Preview, a billing admin must first opt in to enable access for the account. Once opted in, your team will receive a welcome email and the Home icon will appear in your sidebar.

Admin instructions to opt in:

Navigate to the User Menu > Administration.
Select Previews & Trials.
Search for homepage and click Opt in.

Windows Host Support and Enhanced Agent Selection now in New Relic Control Public Preview

Thu, 26 Feb 2026 00:00:00 +0000

Windows host support in New Relic Agent Control and Fleet Control is now available in Public Preview. This release brings the same automated, centralized management experience you use for Kubernetes and Linux hosts to your Windows infrastructure.

Windows host support

Agent Control now extends its agent supervisor capabilities to Windows hosts, including VMs, bare metal, and cloud instances.

Zero-touch management: Manage instrumentation on Windows hosts remotely without needing to RDP into servers or handle local MSI packages manually.
Automated lifecycle: Deploy, configure, and update the New Relic infrastructure agent and NRDOT collectors across your entire Windows fleet from a single pane of glass in Fleet Control.
Unified package distribution: Download agent packages from our Open Container Initiative (OCI)-compliant package repository to ensure agent distribution is fast, reliable, and cryptographically signed for Windows environments.

Simplified agent version management

Simplify one of the biggest hurdles in managing instrumentation across complex environments by mapping specific agent versions to their underlying requirements.

No more manual mapping: Skip the toil associated with manually mapping Helm chart versions to agent versions for Kubernetes or tracking individual MSI and package versions for hosts.
Direct version selection: Simply choose the desired agent version within Fleet Control, start a deployment, and let the platform handle the underlying orchestration and upgrade steps automatically.

Unified fleet management

Fleet Control allows you to group Windows hosts into logical fleets by environment, application, or business unit and manage them alongside your existing Linux and Kubernetes clusters.

Cross-platform consistency: Apply fine-grained RBAC, configuration templates, and deployment strategies to your fleets regardless of the operating system.
Bulk operations: Roll out a configuration change to thousands of Windows servers just as you would to a single cluster.

Advanced modular configurations

This release introduces multi-configuration support, allowing for a more modular approach to instrumentation.

Reusable templates: Define a standard Windows configuration once and apply it consistently across many fleets to streamline governance.
Reduced sprawl: Keep your environment organized by inheriting global settings while allowing for specific overrides where necessary.

Enterprise-grade security

Security is at the core of New Relic Control, and this release adds more security protections.

Secure secrets management: Native integration with secure secrets providers like HashiCorp Vault, AWS Secrets Manager, and Kubernetes Secrets ensures that license keys and credentials are never stored in plain text.
Validated packages: New Relic signs and validates all Windows agent packages distributed via Fleet Control to keep your production environments secure.

Get started with Public Preview

If you're already part of the New Relic Control Public Preview for Host-based Fleets, you can begin adding Windows hosts today.

Intelligent Workloads: Bridge the gap between system health and business outcomes

Tue, 24 Feb 2026 00:00:00 +0000

In today's rapidly evolving, AI-driven cloud environments, a simple "system up" indicator on a dashboard can be misleading. SREs and DevOps teams are swimming in telemetry data, yet they often lack the context needed to answer the most critical question: Is this technical issue actually impacting our customers or revenue? A minor database latency spike might seem harmless in a vacuum, but if it is quietly blocking user registrations or draining transaction volume, the cost is immense.

Intelligent Workloads eliminates this blind spot. Instead of forcing you to manually piece together disparate metrics, it automatically clusters your infrastructure, applications, and services into unified, context-rich views that measure technical health against actual business impact.

Connect telemetry directly to your bottom line

Business-Centric Observability: Redefine what a "healthy" system means. You can now track custom business indicators, such as successful user onboarding rates, API monetization metrics, or order processing throughput, right alongside your standard infrastructure metrics.
Frictionless, Automated Grouping: Eliminate the administrative headache of manually updating tags every time a container spins up or down. Intelligent Workloads automatically detects your most vital application pathways (Focal Transactions) and generates comprehensive, observable groupings with a single click.
AI-Powered Command Center: Stop hunting for the needle in the haystack. Our AI engine automatically isolates the "Golden Signals" during an anomaly, cutting through alert noise to provide your team with a prioritized, step-by-step investigation path.
Quantify Technical Debt: Translate infrastructure degradation into financial risk. By clearly showing how a failing microservice impacts a specific user journey, engineering leaders can prioritize fixes based on revenue protection rather than just CPU spikes.

What makes Intelligent Workloads stand out

Focal Transaction Mapping: Automatically trace the exact routing of your most valuable business activities, seamlessly mapping every dependency along the critical path.
Intelligent Alert Bubbling: Prevent hidden failures. If a crucial nested component degrades, its failing health status automatically propagates up to the highest-level workload view.
Strategic Exclusion: Reduce alert fatigue by configuring your workloads to ignore non-essential dependencies. If an asynchronous analytics tracker goes down, it won't trigger a critical alert for your core payment processing workload.
End-to-End Journey Tracking: Visualize complex, multi-stage user interactions—such as a multi-page insurance quote process or a customer support ticketing lifecycle—as one continuous, monitorable flow.

Get started

Moving from reactive monitoring to proactive, business-aligned observability is a seamless process. Built natively into our existing platform, you can jump straight from APM into setting up your first workload:

Map Vital Pathways: Utilize our automated discovery features to highlight the specific transaction flows that drive your core business.
Generate Your Workload: Apply the one-click recommendation tool to instantly build a comprehensive view of that specific pathway.
Attach Business Logic: Link your underlying technical health to the financial or user-experience KPIs that leadership cares about.
Activate AI Insights: Allow the Command Center to analyze your new workload and serve up immediate optimization recommendations.

Explore the Intelligent Workloads Documentation for in-depth setup instructions.

Additional resources

Workflow Automation now generally available

Tue, 24 Feb 2026 00:00:00 +0000

New Relic is excited to announce the general availability of Workflow Automation, a powerful feature that enables you to automate routine tasks and incident responses without writing code. Connect New Relic with AWS, Azure, Slack, PagerDuty, and custom HTTP APIs to build workflows that respond to alerts, manage infrastructure, and streamline operational tasks.

Automate your operational workflows

Workflow Automation transforms how teams respond to incidents and manage infrastructure by embedding intelligent automation directly into your observability platform. Build workflows that automatically remediate issues, integrate with your existing tools, and execute complex automation logic—all without leaving New Relic.

Key features

Versatile Triggers: Start workflows from alert events, on-demand, or on a recurring schedule using cron expressions.
Drag-and-Drop Builder: Chain actions, add conditional logic (if/else), and create loops without managing scripts or servers.
Pre-built templates: Deploy ready-to-use workflows for common scenarios including Slack notifications, deployment rollbacks, EC2 auto-scaling, and more.
AWS, Azure & Tool Ecosystem: Direct, secure integrations with AWS (EC2, Lambda, API Gateway), Azure, Slack, PagerDuty, and more.
NerdGraph (GraphQL) Integration: Query and mutate your own New Relic data directly within workflows, enabling power users to make automation decisions based on their observability data.
Production-Safe Gates: Add human-in-the-loop approvals. Require a "thumbs up" in Slack before scaling production infrastructure or rolling back a deployment.
Version control: Automatically track workflow versions with the ability to pin specific versions for scheduled executions, ensuring stability while you iterate.

Common use cases

Auto-Remediation: Automatically restart services or resize EC2 instances when performance thresholds are breached—reducing MTTR without manual intervention.
Deployment Guardrails: Trigger an automatic rollback if a deployment causes error rate spikes or performance degradation, protecting production stability.
Enriched Notifications: Don't just send an alert—send a Slack message with captured log snippets, stack traces, and relevant context to accelerate troubleshooting.
Infrastructure Management: Scale services on schedules, manage AWS and Azure resources, and execute runbooks automatically based on your operational needs.

Pricing and availability

Workflow Automation is now generally available and included in the New Relic platform. Advanced executions and heavy data processing may contribute to your Advanced Compute usage. Start building today via the Workflow Automation menu in your All Capabilities.

Want to know more? Check out our Workflow Automation documentation.

Query External Data Sources with New Relic Lens: no ingest required

Wed, 25 Feb 2026 00:00:00 +0000

New Relic Lens allows you to connect and query multiple external data sources like Snowflake, Iceberg, Google Sheets, and many more using SQL – all from within the New Relic UI. Users can combine, analyze and correlate telemetry and non-telemetry (business) data using sophisticated cross-database joins without ingesting the external data. You can run a Lens query in the Query Builder, within the new Notebooks feature, or saved within a Dashboard.

Whether you are a DevOps engineer wanting to combine data from different databases, or a Product Manager looking to display revenue data alongside usage for your executive suite, or a comms manager trying to find the correct person to contact, New Relic Lens can help you query data where it lives and enhance your Observability experience.

Find out more:

eBPF Network Metrics reach GA with enhanced APM capabilities

Wed, 11 Mar 2026 00:00:00 +0000

As we move through 2026, the landscape of software engineering is accelerating at an unprecedented pace. We’re excited to share several updates across the New Relic eBPF platform, including the General Availability of New Relic eBPF Network Metrics, enhancements to eBPF APM.

New Relic eBPF Network Metrics is now GA!

We are excited to announce that eBPF Network Metrics has officially reached General Availability (GA).

In today’s cloud-native environments, the "network blind spot" is a major source of MTTR. Traditional tools tell you a request is slow, but they often can't tell you if the culprit is a DNS failure, a TCP handshake delay, or a hidden retransmission. In addition, we have ensured eBPF can intelligently coexist with APM agent - check out our detailed blog post for a deep dive into how this changes the game for NetOps and DevOps teams alike - all the telemetry is right in the context of service entities of interest in the industry-leading APM UI.

Enhancements to New Relic eBPF APM

Since the General Availability of New Relic eBPF-powered APM in December 2025, we have been hard at work refining the engine. We’ve introduced several key enhancements to broaden your visibility across languages and infrastructure:

Expanded Linux Distro Support: You can now deploy with confidence across more environments, including BottleRocket and Amazon Linux.
Broader Protocol Support: In addition to our existing support for MySQL, MongoDB, Redis, and Postgres, we’ve expanded our reach to include Apache Thrift, MSSQL, and DynamoDB.
JVM Reporting via eBPF: You can now capture critical JVM metrics (such as heap usage and garbage collection statistics), directly through the eBPF agent, providing deep Java insights without requiring an APM agent.

The Exciting Road Ahead

We are just scratching the surface of what eBPF can do for the future of intelligent observability. We can’t wait to share even more capabilities with you in the near future.

In the meantime, we invite you to explore New Relic eBPF Network Metrics and let us know your thoughts. Your feedback is the primary driver of our roadmap!

Beyond Deployments: Track Every Change in One View

Thu, 12 Mar 2026 00:00:00 +0000

Change Tracking Events Plus Timerseries Data

Key benefits

Capture all changes impacting your system: Send change events for any type of change, including feature flags changes, configuration changes, and business events, or create any custom change event based on your requirements. Easily send change events for various event types using our new Nerdgraph mutation, changeTrackingCreateEvent.
Gain a comprehensive view to manage change across your system: Seamlessly view and filter change events across all of your entities and accounts from one unified interface. Effortlessly identify changes by filtering by team, type, custom attributes, and more.
Quickly correlate changes to telemetry and accelerate root cause analysis and discovery: Enhance your understanding of how changes impact your system by visualizing change events with time series data. Find the root cause faster by adding a timeseries query to visualize change events alongside specific data to correlate changes to your metrics.
Enrich your change events with comprehensive metadata: Track all the necessary information about your changes using custom attributes, categories, and types. Tailor your change events to include all specifics needed for thorough system clarity.

Learn More

Learn how to get started in the docs

PHP agent RPM key rotation for enhanced security

Thu, 19 Mar 2026 00:00:00 +0000

Security is at the heart of everything we do at New Relic. As part of our ongoing commitment to security best practices, we're rotating the RPM signing key for the New Relic PHP Agent. Starting March 2026, all new PHP Agent RPM packages will be signed with an updated key.

What you need to do

To ensure uninterrupted operation of the PHP Agent, import the new public key before installing or upgrading from RPM packages. This is a one-time action that takes just seconds:

rpm --import https://download.newrelic.com/php_agent/NEWRELIC_RPM_BD2E199C.public

Verify successful import

After importing the key, confirm it's trusted by running:

rpm -qa | grep gpg-pubkey-bd2e199c

You should see the following output confirming successful import:

gpg-pubkey-bd2e199c-6970e650

Understanding the impact

If you update the key: Your PHP Agent installations and upgrades will continue seamlessly with enhanced security.

If you don't update the key: New PHP Agent installs and upgrades will fail after March 2026, displaying an error message such as Error: GPG check FAILED.

Note: If you're pinned to an older agent version, your current installation will continue to function. However, we strongly recommend importing the new key now to avoid any issues when you're ready to upgrade.

Questions?

Visit our complete guide to PHP agent RPM key rotation for detailed information and troubleshooting steps.

New Dashboards features

Thu, 26 Mar 2026 00:00:00 +0000

We're releasing new exciting features in Dashboards:

Support for urls in widget titles and widgets descriptions
New "visibility" options for Dashboards Template Variables
Template Variables now available in markdown widgets and titles

Widget Links and Widget Descriptions

Are you looking for ways to provide essential context and navigation for your dashboard widgets without cluttering the view? Our enhanced widget functionality, featuring Widget Links and Widget Descriptions, is designed to solve exactly that. These tools allow you to seamlessly embed extra information and connectivity, helping you communicate data insights more effectively and ensuring your team can quickly explore related resources.

Widget Descriptions: Deliver contextual information and crucial data nuances as simple tooltips that appear only when a user hovers over the widget. This lets you add context (like thresholds, importance, or caveats) without taking up permanent space on your valuable dashboard real estate.
Widget Links: Turn widget titles into clickable links that guide users directly to related detailed analysis dashboards, external documentation, runbooks, or any other important resource. This creates an efficient, navigable path for stakeholders to dive deeper into the data they need.

By using both features, you create dashboards that aren't only informative and visually clean but also highly actionable and easy to navigate.

For detailed instructions, please visit this section of the documentation

Variables visibility

The Variables Visibility feature allows you to control which template variables appear in your dashboard's variables bar. This helps you create cleaner, more focused dashboards by hiding variables that viewers don't need to edit, while keeping them accessible in Edit mode for dashboard creators and editors.

What Are Hidden Variables?

Hidden variables are template variables that:

Work normally behind the scenes to power your dashboard's logic
Don't appear in the variables bar when viewing the dashboard
Remain visible in Edit mode, marked with a special icon so editors can identify and manage them

Hidden variables allow the dashboard editor to deliver powerful filtering for the dashboard consumer without burdening them with the selection of variables they don't understand because they're:

Variables that are used only for calculations or logic
Nested variables that support other variables but don't need user input
Variables with default values that rarely need changing

For detailed instructions, please visit this section of the documentation

Template Variables Now Available in Markdown Widgets and titles

Your dashboards more dynamic and contextual than ever: you can now use dashboard template variables directly within your widget titles and Markdown widgets.

This expansion ensures that your dashboards are fully self-documenting, with text and titles that automatically update as users interact with template variable filters.

Key Capabilities

Dynamic Widget Titles

Widget titles will now dynamically reflect the user's variable selection. For example, a title containing {{products}} will update to "Page views per nerdlet: APM" when the user selects "APM." This feature supports single and multi-select variable choices, providing instant context on the specific data being viewed.

For full details and examples, visit the official documentation

Contextual Markdown Widgets

Insert template variables like {{appName}} or {{environment}} into your Markdown text. The text will dynamically update, allowing you to create contextual notes, documentation, or even dynamic code for visualizations like Mermaid diagrams. This is perfect for creating help text that guides users based on their current variable selection. These enhancements work together to provide a clear, professional, and intuitive experience for anyone using your dashboards.

For full details and examples, visit the official documentation

Improve notification workflows with new Slack integration features

Thu, 12 Sep 2024 00:00:00 +0000

We are pleased to announce the release of two highly-requested features for improved Slack issue notification troubleshooting.

Slack channel broadcasting

While tracking multiple issues as individual threads in Slack, the details can easily get buried in your thread notifications which makes it difficult to keep up with the latest developments of a particular issue. With our new broadcasting feature, automated replies to an issue will not only be added to the issue thread, but also sent to the entire channel. (This feature offers a similar functionality to the “Also send to [channel]” checkbox that appears while adding to a thread in Slack). This improves the visibility of each update and ensures everyone in the channel is informed with the latest information for an issue.

To use this feature, select the “Receive notification updates on the channel as well” checkbox while configuring your Slack notification channel.

Uncheck Slack notification overrides

While addressing an issue in Slack, you may sometimes need a snapshot of what was happening when the notification was originally issued. Previously, the initial Slack issue notification would be overwritten as the issue was updated. Now, the Override notifications option on the context menu for new Slack notification workflows offers the ability to disable this behavior. This box is checked by default; if unchecked, the original notification will remain unchanged - making it easier to understand the state of your system at the time of the alert.

More information about our alerts notification integration for Slack and other applications can be found in our documentation.

No-Code Log Parsing

Thu, 19 Feb 2026 00:00:00 +0000

New Relic believes, extracting value from your logs should be easy. We’ve overhauled the custom parsing experience to make it faster, more intuitive, and accessible for everyone.We’ve overhauled the custom parsing experience to remove this technical barrier, make it faster. With the new No-Code Parsing experience, you can transform unstructured log data into queryable attributes in minutes, without needing deep technical expertise (Parsing without the code)

Traditionally, creating custom ingest-time parsing rules requires manual Grok or Regex patterns. With our new No-Code Parsing feature, you can now transform unstructured logs into searchable attributes using the new experience

Auto-Detect Mode: As soon as you open the editor, New Relic automatically identifies common data patterns and formats like key-value pairs or standard delimiters and drafts a rule for you instantly.
Select to Parse: Simply highlight a section of a log message with your cursor to extract it. The UI intelligently detects the underlying pattern and guide you as you authored the rule.
In-Context Rule Creation: Start creating parsing rules directly from where you are. Click any value in the Log Details View action menu to pre-populate filters and jump straight into the visual editor.

Refined control for power users

While the new experience is enabled by default to save you time, we’ve kept the flexibility you need. You can choose the Write your own mode to manually edit Grok logic or switch back to the Classic View at any time.

Why it matters

Reduced MTTR: Spend less time configuring rules and more time querying data during incidents.
Better Data Hygiene: Easily turn wall-of-text logs into structured, faceted attributes for cleaner dashboards and more precise alerting.
Lower Barrier to Entry: Empower your entire team to enrich log data without needing to learn complex parsing syntax.

Get started

The new experience is available now and enabled by default for all users.

Try it: Navigate to any log message, click a field value, and select Parse value.
Learn more: Check out our updated Log Parsing Documentation.

Alerts and Applied Intelligence new landing page

Tue, 01 Dec 2020 00:00:00 +0000

Alerts and Applied Intelligence have a new landing page that surfaces and highlights insights and analytics about how your alert configuration is performing. If you're using Incident Intelligence, you'll find the Issue and Incident feeds on the tabs in the Overview page.

The new landing page includes three tabs:

Summary - An overview highlighting analytics about how your alert configuration is performing.
Issues - Groups of incidents that describe the underlying problem. When a new incident is created, Applied Intelligence opens an issue and evaluates other open issues for potential correlation. By default, the feed is filtered to show only the active issues with the most recently updated at the top. Clicking on an issue opens a page with additional details specific to that issue.
Incidents - Groups of events that describe the symptoms of your system over time. These symptoms are detected by monitoring tools that evaluate your data streams and events. The incident feed includes all of your environment’s issues including those from New Relic, PagerDuty, and all other supported sources. By default most recent incidents are displayed on top and clicking on an incident opens a page with additional relevant details.