DO180 Red Hat OpenShift Administration I: Operating a Production Cluster — Lesson 4: Production Operations, Monitoring, Troubleshooting, and Application Recovery

Learning Objectives

• Explain the structures, services, data, settings, roles, and dependencies governing workload monitoring and logs and events.
• Implement and validate rollouts, failure diagnosis, and recovery validation 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

• workload monitoring applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• logs and events applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• rollouts applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• failure diagnosis applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• recovery validation applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.

Instructor Demonstration

The instructor traces a platform operations team onboarding containerized services onto a shared OpenShift production cluster. The walkthrough connects navigation, commands, configuration logic, system messages, and evidence captured in the OpenShift workload operations portfolio, deployment evidence, health checks, and incident 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 Production Operations, Monitoring, Troubleshooting, and Application Recovery and preserve the verified result in the OpenShift workload operations portfolio, deployment evidence, health checks, and incident 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 workload monitoring.
• Compare two defensible responses and explain technical, security, operational, and support trade-offs.
• Determine how the OpenShift workload operations portfolio, deployment evidence, health checks, and incident 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 OpenShift workload operations portfolio, deployment evidence, health checks, and incident 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 Production Operations, Monitoring, Troubleshooting, and Application Recovery, explain the resulting platform behavior, and defend the outcome through the OpenShift workload operations portfolio, deployment evidence, health checks, and incident runbook.