DO336: Automate and Manage Red Hat OpenShift Virtualization with Ansible — Lesson 1: Automation Architecture, OpenShift Authentication, Inventories, Collections, and Variables

Learning Objectives

• Explain the architecture, purpose, dependencies, and expected behavior of automation architecture, OpenShift authentication, and inventories.
• Apply Ansible collections and variables while preserving reviewable technical evidence.
• Recognize and correct the condition where an unstated prerequisite or ownership gap causes the initial design to be incomplete.

Detailed Topics

• automation architecture: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• OpenShift authentication: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• inventories: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• Ansible collections: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• variables: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates automation architecture, openshift authentication, inventories, collections, and variables by tracing architecture, commands, configuration, system messages, and evidence. The walkthrough tests how an unstated prerequisite or ownership gap causes the initial design to be incomplete and explains how to isolate the cause without masking related issues.

Hands-On Exercise

Establish a controlled baseline for Automation Architecture, OpenShift Authentication, Inventories, Collections, and Variables 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 architecture in the stated scenario.
• Compare two approaches for Ansible collections 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 architecture, scope, identities, prerequisites, and starting conditions separately, then correlate logs, events, commands, metrics, and configuration history. Treat the assumption that an unstated prerequisite or ownership gap causes the initial design to be incomplete as a hypothesis until a reproducible retest confirms the cause.

Validation Checklist

• The required architecture, scope, identities, prerequisites, and starting conditions 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 Automation Architecture, OpenShift Authentication, Inventories, Collections, and Variables, explain the observed platform behavior, and support the result with a reviewable OpenShift Virtualization automation repository, controller workflow, validation evidence, and operations guide.