What you'll learn

Learn to manage OpenShift worker nodes, recover failures, centralize monitoring and logging, and secure your image supply chain. Keep your cluster healthy and observable!

Modern OpenShift environments can become difficult to manage when node configuration, workload placement, observability, and image security are handled inconsistently. In this course, OpenShift Scaling, Monitoring, and Enterprise Data Management, you’ll gain the ability to manage cluster nodes and improve visibility into system health and application behavior. First, you’ll explore how to configure machine pools, machine configurations, taints, tolerations, and node selectors for controlled workload placement. Next, you’ll discover how to implement centralized monitoring and logging with metrics, alerts, log collection, and external log forwarding. Finally, you’ll learn how to secure the image supply chain by signing container images, scanning for vulnerabilities using Quay and Clair, and enforcing admission policies that prevent unsigned or vulnerable images from being deployed. When you’re finished with this course, you will have the skills and knowledge of OpenShift cluster operations needed to support stable worker nodes, troubleshoot failures, improve operational insight, and protect the platform from compromised or unverified workloads.