DO336: Automate and Manage Red Hat OpenShift Virtualization with Ansible — Lesson 2: Virtual Machine Provisioning, Templates, Instance Types, Images, and Cloud-Init

Learning Objectives

• Configure the principal services, objects, workflows, and controls for VM provisioning, templates, and instance types.
• Apply images and cloud-init 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

• VM provisioning: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• templates: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• instance types: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• images: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• cloud-init: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates virtual machine provisioning, templates, instance types, images, and cloud-init 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 Virtual Machine Provisioning, Templates, Instance Types, Images, and Cloud-Init 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 VM provisioning in the stated scenario.
• Compare two approaches for images 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 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 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 Virtual Machine Provisioning, Templates, Instance Types, Images, and Cloud-Init, explain the observed platform behavior, and support the result with a reviewable OpenShift Virtualization automation repository, controller workflow, validation evidence, and operations guide.