OpenShift monitoring with Datadog

In this article, we discuss how to use Datadog to monitor Red Hat OpenShift environments. We cover the three primary types of metrics for monitoring your environment and explore how logs and events from both the control plane and pods provide valuable insights into performance. The text then delves into using Datadog to get end-to-end visibility into an entire OpenShift environment, including deploying the Datadog Cluster Agent and node-based Agents, leveraging Autodiscovery for dynamic workloads, setting up log collection and APM, and more.