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Instant Observability (I/O)Prometheus OpenMetrics integration

Prometheus OpenMetrics integration

Prometheus OpenMetrics integration
Prometheus' ability to monitor a wide variety of data necessitates monitoring the toolkit itself. New Relic helps store, manage, and view telemetry data from your Prometheus setup, relieving you of a significant operational burden.
See installation docsView repo

What's included

Prometheus installation docs

Use Prometheus remote_write or New Relic's Prometheus OpenMetrics integration

Doc

Prometheus monitoring

Prometheus is an open-source monitoring and alerting toolkit. Setting up Prometheus is straightforward, but scaling up and managing is not. That’s where New Relic steps in.

New Relic's Prometheus quickstart

New Relic offers two Prometheus integration schemes, Remote Write and OpenMetrics.

Remote Write is ideal for well-established Prometheus infrastructures. It provides easy access to your metrics and only takes one line of yaml in your configuration for access.

OpenMetrics allows for more visibility across multiple container platforms. Once the integration is set up, you can query data on memory usage for pods in deployment, facet any metrics, and view raw metric values all in one place.

New Relic's Prometheus Integration stores various kinds of telemetry data - whether open-source, vendor-specific, or vendor-agnostic.

Value of the Prometheus quickstart

New Relic’s quickstart makes DevOps easier. Although there are many ways to use Prometheus data in New Relic, we’ll break these down into OpenMetrics and Remote Write to help you decide on the best option for you:

  • Use pre-built dashboards to monitor Kubernetes HPA capacity, or build your own!
  • Monitor node readiness, and create alerts to let you know if a node is having issues and should not accept workloads
  • Automatically instrument and monitor any OpenMetrics endpoint.

See all of your metrics in one place

  • Combine and group all data across an entire software stack
  • Connect Grafana dashboards
  • Better understand the relationship between data and behaviors related to your software stack
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