Master Kubernetes

A CKA and CKAD-aligned path from the control-plane mental model to secure application delivery, troubleshooting, autoscaling and cluster maintenance - paired with 20 realistic simulator labs.

Modules

• Kubernetes Architecture and API - Why orchestration exists and how the API-driven control plane converges desired state.
• Pods and Workload Design - Pod lifecycle, container patterns, init containers and workload selection.
• Deployments and Release Strategies - ReplicaSets, rollout mechanics, rollback, canary and blue-green delivery.
• Services, DNS and Cluster Networking - Pod networking, Services, DNS, kube-proxy, ingress and traffic debugging.
• Configuration, Secrets and Extensibility - ConfigMaps, Secrets, ServiceAccounts, CRDs, operators and admission.
• Volumes and Persistent Storage - Ephemeral volumes, PV/PVC binding, StorageClasses and data lifecycle.
• Scheduling and Availability - Requests, selectors, affinity, taints, topology spread and disruption budgets.
• Jobs, CronJobs and Batch Reliability - Finite work, retries, parallelism, schedules and idempotent batch design.
• StatefulSets and Distributed Systems - Stable identity, headless Services, ordered rollout and quorum-aware operations.
• RBAC and Workload Security - Least privilege authorization, security contexts, capabilities and policy boundaries.
• NetworkPolicy and Traffic Security - Default deny, additive allow rules, ingress/egress and policy troubleshooting.
• Observability, Probes and Troubleshooting - A systematic workflow using status, events, logs, probes and ephemeral debugging.
• Resources and Autoscaling - Requests, limits, QoS, OOM behavior, HPA and capacity feedback loops.
• Cluster Installation and Maintenance - Cluster configuration, kubeadm, etcd, upgrades, drains and node recovery.
• Production Design and Exam Practice - Integrate application and administrator skills into resilient operational decisions.