Understand and use data from Infrastructure integrations

With New Relic Infrastructure integrations, you can monitor the performance of popular services, including AWS, Azure, MySQL, and Cassandra. This document will give you some tips on how to find, understand, and use data reported from these integrations.

Explore your integration's data

The best way to understand an integration's data and see what you can do with it is to enable an integration and explore the data in the New Relic UI.

Some recommendations for exploring:

Types of integration data

New Relic separates integrations into two categories:

An integration can generate four types of data:

  • Metrics: Numeric measurement data. Examples: message counts, error counts, and CPU used percentage. Metric data appears in an integration's charts, and you can run custom queries of that data. For details on what metrics an integration reports and how to find and query it, see an integration's documentation.
  • Inventory: Information about the state and configuration of a service or host. Examples of inventory data: configuration settings, the name of the host the service is on, the AWS region, the port being used. Inventory data appears in the Inventory UI page. Inventory data also appears in integration dashboards. Changes to inventory data generates event data.
  • Events: Events represent important activity on a system. Examples of event data: an admin logging in; a package install or uninstall; a service starting; a table being created. Most events represent changes to inventory data.
  • Attributes: Some integrations will generate other non-metric attributes (key-value pairs) that can be queried in New Relic.

Create alert conditions

To create an alert condition for integration data in Infrastructure, Go to infrastructure.newrelic.com, choose an integration, and then select an available alert option. For more information, see Infrastructure and Alerts.

For on-host integrations, you can also create alert conditions using NRQL queries. (NRQL alerts are not supported or recommended for cloud integrations, due to issues related to data latency.)

For more help

Recommendations for learning more: