advanced91 lessons · 14 chapters
Kubernetes Mastery
A complete, certification-aligned path through Kubernetes — 91 lessons across 14 chapters. From architecture and core workloads through networking, storage, scheduling, RBAC and advanced security, observability, CRDs and operators, service mesh and autoscaling, deep internals (API server, etcd, scheduler, kubelet), and production operations at scale. Tagged throughout for CKA, CKAD, and CKS relevance.
kubernetesdevopsckackadcksservice-meshgitops
prerequisites
- →Comfortable with containers (Docker/OCI images, Dockerfiles, container runtimes)
- →Basic YAML and command-line fluency
- →No prior Kubernetes experience required — the course builds from first principles
you'll learn
- ✓Understand the control plane and worker node internals — API server, etcd, scheduler, kubelet
- ✓Run every core workload type correctly — Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs
- ✓Design cluster networking, storage, and multi-dimensional scheduling for real production constraints
- ✓Apply RBAC, Pod Security Standards, admission control, and runtime security end to end
- ✓Build CRDs and a working Operator, and diagnose clusters with real kubectl debugging workflows
- ✓Operate Kubernetes at scale — upgrades, disaster recovery, multi-tenancy, GitOps, and cost optimization
course structure
Chapter 1 — Foundations & Architecture5Chapter 2 — Core Workloads7Chapter 3 — Configuration & Secrets6Chapter 4 — Networking7Chapter 5 — Storage4Chapter 6 — Scheduling & Resource Management7Chapter 7 — Security: RBAC & Identity5Chapter 8 — Security: Advanced7Chapter 9 — Observability & Debugging6Chapter 10 — Advanced Patterns7Chapter 11 — GitOps & Manifest Management1Chapter 12 — Service Mesh, Autoscaling & Cloud-Native Tooling10Chapter 13 — Deep Internals7Chapter 14 — Production Operations at Scale12