Applied intelligence (AI) is our AIOps solution for DevOps, site reliability engineers, and on-call teams.
At its core, applied intelligence helps you find, troubleshoot, and resolve problems more quickly. Specifically, it’s a hybrid machine learning engine that reduces alert noise, correlates incidents, and automatically detects anomalies. By applying machine learning to your data and feedback, applied intelligence is designed to improve functionality and deliver smarter context over time.
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After connecting your data sources to applied intelligence, it looks for potential problems and improves based on your feedback.
How you respond to an incident can mean thousands of dollars or clicks for your company. applied intelligence helps you solve problems faster.
Troubleshoot and respond to incidents
Our solution helps you understand your incidents and gives you ideas for what to do next. Here are a few examples:
Less noise, more focus
As tools and systems become more complex, alert noise can overwhelm DevOps and SRE teams. applied intelligence correlates related incidents and suppresses noise, so you're only notified when human action is required.
Incidents with a hybrid approach
Applied intelligence streamlines your incidents by combining its built-in inputs with your knowledge and feedback. Over time, the system delivers more accurate insights. For example:
Automatic anomaly detection
Applied intelligence provides automatic anomaly detection on all your APM-monitored applications. We detect anomalies in throughput, latency, and error rate, with no action required from you. Benefits include:
As part of applied intelligence, incident intelligence helps you correlate incident events and reduce noise in your environment. With it, you can get an overview of all your issues, see suggested responders, and configure your own correlation logic.
To get started, see incident intelligence.
Another feature of applied intelligence is proactive detection. proactive detection is, by default, always on and detecting anomalies. These anomalies are surfaced in the applied intelligence anomalies feed, New Relic activity streams, and can be queried, alerted on, and added to dashboards. Anomalies can be sent to Slack or via webhooks, and/or added as a source for incident intelligence correlation and issue notification. proactive detection also provides automatic analysis of anomalies and alerts via the analysis page.
To get started, see proactive detection.