Day Two Agenda
Outcomes
By the end of day two, participants will have expanded their operational understanding of OpenShift and gained experience with advanced platform capabilities. The following learning outcomes are expected:
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Manage Image Artifacts Inside and Outside of a Cluster:
Learn how to work with container images using internal OpenShift image registries as well as external registries, and understand how image policies impact builds and deployments. -
Configure Applications with Secrets and ConfigMaps:
Use Kubernetes-native resources to securely manage application configuration, environment variables, and sensitive data without hardcoding values. -
Track Metrics and Logging of User Workloads:
Explore observability tools available in OpenShift to view pod-level logs, inspect metrics, and monitor application health using the built-in dashboard and command-line utilities. -
Scale Applications with Horizontal Pod Autoscalers:
Configure and observe autoscaling behavior based on CPU utilization or custom metrics to meet changing demand automatically. -
Debug Applications with Built-In Tools:
Leverage OpenShift’s built-in debugging capabilities—such as remote shell access, live container inspection, and diagnostic events—to troubleshoot issues effectively. -
Understand the Different Workload Strategies for Applications:
Learn how OpenShift helps manage modern deployment strategies like Canary Rollouts, Blue/Green Deployments, and A/B Testing.