DO432 – Multicluster Management with Red Hat Advanced Cluster Management for Kubernetes — Lesson 2: Governance Policies, Compliance, Placement, Configuration, and Remediation

Learning Objectives

• Configure the principal services, objects, workflows, and controls for governance policies, compliance, and placement.
• Apply configuration standards and remediation while preserving reviewable technical evidence.
• Recognize and correct the condition where a valid change produces the wrong outcome because variables, permissions, mapping, or sequencing are incorrect.

Detailed Topics

• governance policies: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• compliance: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• placement: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• configuration standards: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• remediation: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates governance policies, compliance, placement, configuration, and remediation by tracing architecture, commands, configuration, system messages, and evidence. The walkthrough tests how a valid change produces the wrong outcome because variables, permissions, mapping, or sequencing are incorrect and explains how to isolate the cause without masking related issues.

Hands-On Exercise

Implement the core workflow for Governance Policies, Compliance, Placement, Configuration, and Remediation 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 governance policies in the stated scenario.
• Compare two approaches for configuration standards 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 configuration, permissions, sequence, connectivity, and functional behavior separately, then correlate logs, events, commands, metrics, and configuration history. Treat the assumption that a valid change produces the wrong outcome because variables, permissions, mapping, or sequencing are incorrect as a hypothesis until a reproducible retest confirms the cause.

Validation Checklist

• The required configuration, permissions, sequence, connectivity, and functional behavior 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 Governance Policies, Compliance, Placement, Configuration, and Remediation, 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.