DO346 – Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform — Lesson 3: Ansible Automation Platform, Workflow Jobs, Conversion, Waves, and Validation

Learning Objectives

• Evaluate integration, security, resilience, performance, and exceptions affecting Ansible Automation Platform, workflow jobs, and conversion.
• Apply migration waves and validation 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

• Ansible Automation Platform: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• workflow jobs: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• conversion: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• migration waves: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• validation: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates ansible automation platform, workflow jobs, conversion, waves, and validation 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 Ansible Automation Platform, Workflow Jobs, Conversion, Waves, and Validation 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 Ansible Automation Platform in the stated scenario.
• Compare two approaches for migration waves 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 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 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 Ansible Automation Platform, Workflow Jobs, Conversion, Waves, and Validation, 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.