DO080 – Containers, Kubernetes and Red Hat OpenShift Technical Overview — Lesson 2: Kubernetes Architecture, Pods, Deployments, Services, and Desired State

Learning Objectives

• Configure the main services, objects, and controls involved in Kubernetes architecture, pods, and deployments.
• Apply services and controllers while preserving reviewable technical evidence.
• Recognize and correct the risk where a valid command creates the wrong outcome because variables, identity, or sequencing are incorrect.

Detailed Topics

• Kubernetes architecture: apply the concept to a technology group assessing containers and OpenShift for application modernization, record the relevant settings or decisions, and explain the operational consequence.
• pods: apply the concept to a technology group assessing containers and OpenShift for application modernization, record the relevant settings or decisions, and explain the operational consequence.
• deployments: apply the concept to a technology group assessing containers and OpenShift for application modernization, record the relevant settings or decisions, and explain the operational consequence.
• services: apply the concept to a technology group assessing containers and OpenShift for application modernization, record the relevant settings or decisions, and explain the operational consequence.
• controllers: apply the concept to a technology group assessing containers and OpenShift for application modernization, record the relevant settings or decisions, and explain the operational consequence.

Instructor Demonstration

The instructor demonstrates kubernetes architecture, pods, deployments, services, and desired state by tracing the relevant architecture, commands, configuration, messages, and evidence. The walkthrough highlights how a valid command creates the wrong outcome because variables, identity, or sequencing are incorrect and shows how to isolate the cause without masking dependent issues.

Hands-On Exercise

Implement the core workflow and compare expected versus observed behavior for Kubernetes Architecture, Pods, Deployments, Services, and Desired State. Add verified outcomes to the container platform assessment, workload suitability matrix, adoption risks, and next-step roadmap.

1. Confirm the scope, versions, access, dependencies, and success criteria.
2. Perform the workflow while recording commands, settings, output, and platform events.
3. Test one expected case and one controlled exception specific to this lesson.
4. Retest the correction and document ownership, rollback, and follow-up actions.

Scenario Analysis

• Identify which dependency most strongly influences Kubernetes architecture in the stated scenario.
• Compare two approaches for services and explain the security, reliability, and support trade-offs.
• Decide what evidence must be retained in the container platform assessment, workload suitability matrix, adoption risks, and next-step roadmap before operational acceptance.

Troubleshooting Guidance

Begin with the first observable difference from the expected result. Check configuration, permissions, sequencing, and functional behavior separately, then correlate logs, events, commands, and configuration history. Do not accept the initial assumption that a valid command creates the wrong outcome because variables, identity, or sequencing are incorrect; confirm the cause with a reproducible retest.

Validation Checklist

• The required configuration, permissions, sequencing, and functional behavior were checked and recorded.
• The normal path and a course-specific exception were tested.
• The container platform assessment, workload suitability matrix, adoption risks, and next-step roadmap links conclusions to commands, configuration, logs, or other objective evidence.
• Corrective actions, rollback steps, ownership, and handover notes are complete.

Lesson Outcome

Learners can apply Kubernetes Architecture, Pods, Deployments, Services, and Desired State, explain the observed Red Hat platform behavior, and support the result with a reviewable container platform assessment, workload suitability matrix, adoption risks, and next-step roadmap.