AU467 Managing Enterprise Automation with Red Hat Ansible Automation Platform — Lesson 4: High Availability, Backup, Monitoring, Troubleshooting, Governance, and Service Improvement

Learning Objectives

• Explain the structures, services, data, settings, roles, and dependencies governing high availability and backup and restore.
• Implement and validate monitoring, troubleshooting, and governance using reviewable evidence.
• Evaluate the condition where a technically valid implementation creates operational risk because ownership, monitoring, rollback, or handover controls are incomplete and select a proportionate corrective response.

Detailed Topics

• high availability applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• backup and restore applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• monitoring applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• troubleshooting applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• governance applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.

Instructor Demonstration

The instructor traces an automation platform team operating a secure, scalable shared service for multiple engineering groups. The walkthrough connects navigation, commands, configuration logic, system messages, and evidence captured in the Automation Platform operating model, controller configuration evidence, content lifecycle design, and resilience runbook. It also tests the exception where a technically valid implementation creates operational risk because ownership, monitoring, rollback, or handover controls are incomplete.

Hands-On Exercise

Complete a controlled Red Hat exercise covering High Availability, Backup, Monitoring, Troubleshooting, Governance, and Service Improvement and preserve the verified result in the Automation Platform operating model, controller configuration evidence, content lifecycle design, and resilience runbook.

1. Confirm scope, prerequisites, versions, identities, dependencies, and acceptance criteria.
2. Execute the workflow while recording commands, settings, outputs, events, and system messages.
3. Test normal behavior, one boundary condition, and the stated exception.
4. Document corrections, evidence, ownership, retest criteria, rollback, and handover actions.

Scenario Analysis

• Identify which object, service, policy, setting, or sequence most strongly influences high availability.
• Compare two defensible responses and explain technical, security, operational, and support trade-offs.
• Determine how the Automation Platform operating model, controller configuration evidence, content lifecycle design, and resilience runbook should be approved, retained, retested, and updated.

Troubleshooting Guidance

Start where expected behavior first differs from the observed result. Check prerequisites, identity, configuration order, version compatibility, connectivity, status, resource limits, and evidence separately. Treat “a technically valid implementation creates operational risk because ownership, monitoring, rollback, or handover controls are incomplete” as a hypothesis until commands, logs, settings, and retest outcomes confirm the cause.

Validation Checklist

• Required platform components, identities, permissions, settings, and dependencies are present.
• The Automation Platform operating model, controller configuration evidence, content lifecycle design, and resilience runbook connects each conclusion to objective, reviewable evidence.
• Normal processing, a boundary condition, dependency behavior, and the stated exception were tested.
• Corrections, ownership, retest criteria, rollback, documentation, and operational handover are complete.

Lesson Outcome

Learners can apply High Availability, Backup, Monitoring, Troubleshooting, Governance, and Service Improvement, explain the resulting platform behavior, and defend the outcome through the Automation Platform operating model, controller configuration evidence, content lifecycle design, and resilience runbook.