vSphere Kubernetes Service: Design, Deploy and Operate [V9.0] — Lesson 3: Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup

Learning Objectives

• Identify the architecture and operational choices that shape Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup.
• Run normal and boundary tests and record the outcome in application deployment evidence and cluster lifecycle checklist.
• Separate root cause from symptom when investigating an application rollout failing because image-pull credentials are missing from the namespace.

Detailed Topics

• Cluster lifecycle
• Kubectl access
• Workloads
• Services
• Ingress
• Secrets
• Persistent volumes
• Registries
• Policies
• Autoscaling
• Upgrades
• And backup
• Decision ownership, prerequisites, and acceptance evidence for Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup
• Relevant access, security, capacity, dependency, performance, recovery, and support considerations

Instructor Demonstration

The demonstration traces Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup from requirement through execution and review. Learners see where evidence should be collected, how application deployment evidence and cluster lifecycle checklist supports validation, and which warning signs require investigation.

Hands-On Exercise

Build or execute Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup for a defined scenario. Introduce the condition “an application rollout failing because image-pull credentials are missing from the namespace,” inspect the evidence, correct the cause without discarding the audit trail, and document the accepted state in application deployment evidence and cluster lifecycle checklist.

1. Confirm scope, access, sample workloads, and acceptance criteria.
2. Perform the configuration or operation using a controlled sequence.
3. Inspect outputs and downstream effects rather than relying on task status alone.
4. Close with a support note, preventive action, and reproducible validation step.

Scenario Analysis

• Clarify the service trigger, affected components and roles, prerequisites, and acceptable result for Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup.
• Compare at least two implementation or correction choices and identify which evidence would distinguish them.
• Decide how application deployment evidence and cluster lifecycle checklist should be reviewed, approved, retained, and handed to the next owner.

Troubleshooting Guidance

Diagnose Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup by checking effective state, ownership, dependencies, health, logs, and recent changes. Use application deployment evidence and cluster lifecycle checklist to locate the earliest divergence. Treat “an application rollout failing because image-pull credentials are missing from the namespace” as a hypothesis until the same test passes after correction and under a boundary condition.

Validation Checklist

• The requirement for Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup is linked to an owner and observable acceptance condition.
• Application deployment evidence and cluster lifecycle checklist contains enough detail for another practitioner to repeat the check.
• Normal operation, one boundary condition, and the identified failure path have been tested.
• Access, security, downstream impact, rollback, monitoring, and support ownership are recorded.

Lesson Outcome

Learners can apply Cluster lifecycle, kubectl access, workloads, services, ingress, secrets, persistent volumes, registries, policies, autoscaling, upgrades, and backup, explain the decisions made, and defend the result with application deployment evidence and cluster lifecycle checklist.