DO480 – Multicluster Management with Red Hat OpenShift Platform Plus — Lesson 3: Observability, GitOps Applications, Placement Rules, Quay, and Image Governance

Learning Objectives

• Evaluate integration, security, resilience, performance, and exceptions affecting fleet observability, GitOps applications, and placement rules.
• Apply Red Hat Quay and image governance while preserving reviewable technical evidence.
• Recognize and correct the condition where the implementation succeeds normally but fails during dependency loss, scale, policy enforcement, or recovery.

Detailed Topics

• fleet observability: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• GitOps applications: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• placement rules: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• Red Hat Quay: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• image governance: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates observability, gitops applications, placement rules, quay, and image governance by tracing architecture, commands, configuration, system messages, and evidence. The walkthrough tests how the implementation succeeds normally but fails during dependency loss, scale, policy enforcement, or recovery and explains how to isolate the cause without masking related issues.

Hands-On Exercise

Introduce a realistic boundary condition and test corrective behavior for Observability, GitOps Applications, Placement Rules, Quay, and Image Governance and add the verified result to the multicluster platform design, governance policy set, observability dashboard, GitOps deployment, and fleet-security runbook.

1. Confirm scope, versions, access, dependencies, assumptions, and acceptance criteria.
2. Perform the workflow while recording commands, configuration, output, events, and decisions.
3. Test the normal path and one course-specific exception or boundary condition.
4. Retest the correction and document rollback, ownership, and follow-up actions.

Scenario Analysis

• Identify which dependency most strongly influences fleet observability in the stated scenario.
• Compare two approaches for Red Hat Quay and explain the security, reliability, performance, and support trade-offs.
• Decide what evidence must be retained in the multicluster platform design, governance policy set, observability dashboard, GitOps deployment, and fleet-security runbook before operational acceptance.

Troubleshooting Guidance

Begin with the first observable difference from the expected result. Check integration, security, boundary conditions, resilience, and performance separately, then correlate logs, events, commands, metrics, and configuration history. Treat the assumption that the implementation succeeds normally but fails during dependency loss, scale, policy enforcement, or recovery as a hypothesis until a reproducible retest confirms the cause.

Validation Checklist

• The required integration, security, boundary conditions, resilience, and performance were checked and recorded.
• The normal path and a course-specific exception were tested.
• The multicluster platform design, governance policy set, observability dashboard, GitOps deployment, and fleet-security runbook links conclusions to commands, configuration, logs, metrics, or other objective evidence.
• Corrective actions, rollback, ownership, and handover notes are complete.

Lesson Outcome

Learners can apply Observability, GitOps Applications, Placement Rules, Quay, and Image Governance, explain the observed platform behavior, and support the result with a reviewable multicluster platform design, governance policy set, observability dashboard, GitOps deployment, and fleet-security runbook.