OpenShift monitoring with Datadog

The text provides a comprehensive guide on using Datadog to monitor Red Hat OpenShift environments, emphasizing the deployment of Datadog Cluster Agent and node-based Agents for end-to-end visibility. It discusses the integration of Datadog with OpenShift's metrics, logs, and application performance monitoring (APM) through features like Autodiscovery and security context constraints (SCC) management. The guide covers the use of Helm for deployment, enabling log collection, and setting up APM for detailed application insights, while highlighting the importance of choosing the appropriate security level for data collection. Additional benefits of the Datadog Cluster Agent include reduced load on the Kubernetes API server and enhanced security. The text also outlines the use of tags for monitoring dynamic infrastructures and provides instructions for enabling various Datadog features, such as log analysis and application tracing, to optimize and troubleshoot application performance in OpenShift clusters.