Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380) — Lesson 2: GitOps, Declarative Configuration, Automation, and Platform Standardization

Learning Objectives

• Explain the structures, services, data, settings, roles, and dependencies governing GitOps workflows and Argo CD concepts.
• Implement and validate configuration repositories, promotion controls, and drift correction using reviewable evidence.
• Evaluate the condition where a change succeeds in one environment but fails elsewhere because inventory, policy, version, or runtime assumptions differ and select a proportionate corrective response.

Detailed Topics

• GitOps workflows applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• Argo CD concepts applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• configuration repositories applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• promotion controls applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.
• drift correction applied to the course scenario, expected platform behavior, dependencies, controls, and evidence.

Instructor Demonstration

The instructor traces an enterprise platform team scaling standardized OpenShift services across multiple clusters and business units. The walkthrough connects navigation, commands, configuration logic, system messages, and evidence captured in the enterprise OpenShift scaling blueprint, GitOps repository design, policy evidence, and resilience improvement plan. It also tests the exception where a change succeeds in one environment but fails elsewhere because inventory, policy, version, or runtime assumptions differ.

Hands-On Exercise

Complete a controlled Red Hat exercise covering GitOps, Declarative Configuration, Automation, and Platform Standardization and preserve the verified result in the enterprise OpenShift scaling blueprint, GitOps repository design, policy evidence, and resilience improvement plan.

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 GitOps workflows.
• Compare two defensible responses and explain technical, security, operational, and support trade-offs.
• Determine how the enterprise OpenShift scaling blueprint, GitOps repository design, policy evidence, and resilience improvement plan 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 change succeeds in one environment but fails elsewhere because inventory, policy, version, or runtime assumptions differ” 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 enterprise OpenShift scaling blueprint, GitOps repository design, policy evidence, and resilience improvement plan 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 GitOps, Declarative Configuration, Automation, and Platform Standardization, explain the resulting platform behavior, and defend the outcome through the enterprise OpenShift scaling blueprint, GitOps repository design, policy evidence, and resilience improvement plan.