About the course

Docker & Containers (overview & why use containers) — benefits, container vs VM comparison, and deployment workflow
Running Containers (Docker CLI & lifecycle) — docker run / docker ps / logs / exec, container states (running / stopped / removed) and lifecycle commands
Working with Images & Registries — image anatomy, Dockerfile basics, building/tagging/pushing, public vs private registries
Kubernetes — 10,000-foot overview — what K8s is, control plane vs data plane, why use Kubernetes vs plain Docker
Kubernetes Architecture — control plane components (API server, scheduler, controller-manager, etcd, cloud-controller-manager) and worker node components (kubelet, kube-proxy, container runtime)
kubectl CLI & tooling — kubectl usage patterns, completion/alias tips, imperative vs declarative workflows
Pods & Pod lifecycle — pod concept, phases (Pending / Running / Succeeded / Failed / Unknown), restart policies, CrashLoopBackOff and debugging commands
Exposing Pods: Services — ClusterIP, NodePort, LoadBalancer types, examples of kubectl expose and declarative Service YAML
Namespaces, ResourceQuotas & multi-tenant controls — creating namespaces, resource quotas and examples (apply/fail examples when quota exceeded)
ReplicaSets & Deployments — ReplicaSet purpose, Deployments (rolling updates, rollbacks), sample YAML and kubectl rollout commands
Update strategies & rollouts — RollingUpdate vs Recreate strategy, maxSurge / maxUnavailable, rollbacks and rollout history.
Labels, Selectors & Annotations — organizing resources with labels, using selectors, annotations use-cases and examples..
Networking & Ingress — service networking, Ingress concepts (path/host routing, TLS termination), installing an Ingress controller and example flow
NetworkPolicy, CNI & DNS — network plugins, CoreDNS, NetworkPolicy examples to control pod traffic
Storage & Volumes — emptyDir, hostPath, local, PersistentVolume (PV) / PersistentVolumeClaim (PVC), StorageClass and provisioners; hostPath/NFS examples and best practices
Taints & Tolerations / Node affinity — taints to prevent scheduling, tolerations to allow pods on tainted nodes, NoSchedule / NoExecute semantics.
Probes: Startup / Liveness / Readiness — probe types, key parameters (periodSeconds, timeoutSeconds, failureThreshold, initialDelaySeconds) and probe decision flow
Troubleshooting & Monitoring — commands and workflows for debugging pods/nodes (describe, logs, events, exec), monitoring basics and troubleshooting flow
Kubernetes API & Extensibility — API model, resource schema (kind/apiVersion/metadata/spec/status), controller reconciliation loop, CRDs and Operators.
Manifests & Best practices — YAML manifest structure, imperative vs declarative usage, examples and common patterns.

Syllabus

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