Kubernetes Fundamentals and Cluster Operations

Course Description

Kubernetes Fundamentals and Cluster Operations develops hands-on understanding of Container concepts, images, registries, runtime basics, Pods, ReplicaSets, Deployments. Learners move from requirements and dependencies to implementation, validation, troubleshooting, and supportable VMware operations.

Later lessons examine Volumes, persistent volumes, claims, storage classes, RBAC, service accounts, network policies. Participants use cluster architecture diagram and kubectl access verification, workload deployment trace and service-connectivity test, stateful workload validation and scheduling analysis, cluster operations runbook and incident evidence pack to distinguish configuration, access, network, storage, performance, and lifecycle issues rather than treating them as one generic failure.

After the four lessons, learners can help establish a maintainable Kubernetes cluster practice covering container fundamentals, workload deployment, networking, storage, security, observability, upgrades, and incident handling. They also document follow-up actions for performance, security, lifecycle, support, and adoption.

What You Will Learn

• Explain how Container concepts, images, and registries establish the technical foundation and influence later design decisions.
• Configure runtime basics, Kubernetes architecture, control plane, worker nodes, API objects, kubectl, manifests, and namespaces, then confirm readiness through cluster architecture diagram and kubectl access verification instead of relying on completion messages alone.
• Execute a controlled workflow covering Pods, ReplicaSets, and Deployments, preserving prerequisites, changes, and resulting service behavior.
• Read workload deployment trace and service-connectivity test to isolate a selector mismatch leaving a service with no endpoints, separate symptoms from causes, and choose a correction that can be safely retested.
• Integrate Volumes, persistent volumes, and claims with access, capacity, resilience, and downstream operational expectations.
• Challenge storage classes, scheduling, taints, tolerations, affinity, requests, limits, autoscaling, and disruption budgets using normal and boundary cases, then defend the outcome with stateful workload validation and scheduling analysis.
• Investigate a readiness probe removing healthy pods because the threshold is unsuitable for startup behavior by reviewing RBAC, service accounts, and network policies before applying a reversible fix.
• Prepare cluster operations runbook and incident evidence pack that demonstrates security contexts, logging, metrics, health probes, backup, node maintenance, upgrades, troubleshooting, and recovery and supports handover, monitoring, governance, and the next improvement decision.

SkillDynamo Training Approach

Training uses instructor walkthroughs, hands-on implementation, role-based exercises, boundary testing, troubleshooting drills, review checkpoints, and structured handover. Learners practise explaining why a result is acceptable rather than merely showing that a task completed.