DO336: Automate and Manage Red Hat OpenShift Virtualization with Ansible — Lesson 4: Controller Workflows, Testing, Error Handling, Troubleshooting, and Governance

Learning Objectives

• Operate, diagnose, document, recover, and improve automation controller, workflow templates, and testing.
• Apply error handling and governance 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

• automation controller: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• workflow templates: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• testing: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• error handling: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• governance: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates controller workflows, testing, error handling, troubleshooting, and governance 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 Controller Workflows, Testing, Error Handling, Troubleshooting, and Governance and add the verified result to the OpenShift Virtualization automation repository, controller workflow, validation evidence, and operations guide.

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 automation controller in the stated scenario.
• Compare two approaches for error handling and explain the security, reliability, performance, and support trade-offs.
• Decide what evidence must be retained in the OpenShift Virtualization automation repository, controller workflow, validation evidence, and operations guide 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 OpenShift Virtualization automation repository, controller workflow, validation evidence, and operations guide 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 Controller Workflows, Testing, Error Handling, Troubleshooting, and Governance, explain the observed platform behavior, and support the result with a reviewable OpenShift Virtualization automation repository, controller workflow, validation evidence, and operations guide.