DO432 – Multicluster Management with Red Hat Advanced Cluster Management for Kubernetes — Lesson 3: Observability, Search, Application Lifecycle, GitOps, and Fleet Insights

Learning Objectives

• Evaluate integration, security, resilience, performance, and exceptions affecting observability, resource search, and application lifecycle.
• Apply GitOps and fleet insights 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

• observability: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• resource search: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• application lifecycle: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• GitOps: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• fleet insights: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates observability, search, application lifecycle, gitops, and fleet insights 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, Search, Application Lifecycle, GitOps, and Fleet Insights and add the verified result to the RHACM hub design, managed-cluster inventory, governance policies, GitOps placement plan, and fleet operations 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 observability in the stated scenario.
• Compare two approaches for GitOps and explain the security, reliability, performance, and support trade-offs.
• Decide what evidence must be retained in the RHACM hub design, managed-cluster inventory, governance policies, GitOps placement plan, and fleet operations 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 RHACM hub design, managed-cluster inventory, governance policies, GitOps placement plan, and fleet operations 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, Search, Application Lifecycle, GitOps, and Fleet Insights, explain the observed platform behavior, and support the result with a reviewable RHACM hub design, managed-cluster inventory, governance policies, GitOps placement plan, and fleet operations runbook.