DO346 – Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform — Lesson 4: Cutover, Rollback, Troubleshooting, Performance, Evidence, and Handover

Learning Objectives

• Operate, diagnose, document, recover, and improve cutover, rollback, and troubleshooting.
• Apply performance checks and evidence and handover while preserving reviewable technical evidence.
• Recognize and correct the condition where the technical result is restored but monitoring, rollback, evidence, ownership, or handover remains incomplete.

Detailed Topics

• cutover: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• rollback: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• troubleshooting: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• performance checks: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• evidence and handover: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates cutover, rollback, troubleshooting, performance, evidence, and handover by tracing architecture, commands, configuration, system messages, and evidence. The walkthrough tests how the technical result is restored but monitoring, rollback, evidence, ownership, or handover remains incomplete and explains how to isolate the cause without masking related issues.

Hands-On Exercise

Conduct an operational acceptance review for Cutover, Rollback, Troubleshooting, Performance, Evidence, and Handover and add the verified result to the migration inventory, mapping design, Ansible workflow, wave test results, rollback plan, and cutover 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 cutover in the stated scenario.
• Compare two approaches for performance checks and explain the security, reliability, performance, and support trade-offs.
• Decide what evidence must be retained in the migration inventory, mapping design, Ansible workflow, wave test results, rollback plan, and cutover runbook before operational acceptance.

Troubleshooting Guidance

Begin with the first observable difference from the expected result. Check monitoring, troubleshooting, rollback, ownership, evidence, and handover separately, then correlate logs, events, commands, metrics, and configuration history. Treat the assumption that the technical result is restored but monitoring, rollback, evidence, ownership, or handover remains incomplete as a hypothesis until a reproducible retest confirms the cause.

Validation Checklist

• The required monitoring, troubleshooting, rollback, ownership, evidence, and handover were checked and recorded.
• The normal path and a course-specific exception were tested.
• The migration inventory, mapping design, Ansible workflow, wave test results, rollback plan, and cutover 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 Cutover, Rollback, Troubleshooting, Performance, Evidence, and Handover, explain the observed platform behavior, and support the result with a reviewable migration inventory, mapping design, Ansible workflow, wave test results, rollback plan, and cutover runbook.