Introduction
Kubernetes is an open-source platform that automates the deployment, scaling, networking, and management of containerized applications across a cluster.
- Kubernetes Foundations: Containers vs Kubernetes, cluster concepts, control plane vs worker nodes
Useful commands:
kubectl version, kubectl cluster-info, kubectl get nodes
2. Kubernetes Architecture: API Server, Scheduler, Controller Manager, etcd, kubelet, kube-proxy
Useful commands:
kubectl get pods -A, kubectl describe node
3. Cluster Installation: kubeadm, kubelet, kubectl, container runtime, cluster bootstrap
Useful commands:
kubeadm init, kubeadm join, kubectl get nodes
4. Pods & API Objects: Pods, YAML, namespaces, labels, annotations
Useful commands:
kubectl run, kubectl get pod, kubectl describe, kubectl apply -f
5. Deployments & Workloads: ReplicaSets, Deployments, scaling, rolling updates, rollback
Useful commands:
kubectl create deployment, kubectl scale, kubectl rollout
6. Services & Networking: ClusterIP, NodePort, service discovery, DNS, pod networking
Useful commands:
kubectl expose, kubectl get svc, kubectl get endpoints
7. Ingress & Gateway: Ingress Controller, HTTP routing, Gateway API
Useful commands:
Create an Ingress and route traffic to two Services
8. Kubernetes Storage: Volumes, PV, PVC, StorageClass, CSI, Ceph integration
Useful commands:
kubectl get pv,pvc,sc, create PVC and mount into a Pod
9. Helm & Kustomize: Package management, Helm charts, templating, overlays
Useful commands:
helm install, helm list, helm upgrade, kubectl apply -k
10. Scheduling & Security: Scheduler, affinity, taints/tolerations, RBAC, ServiceAccounts
Useful commands:
kubectl taint, kubectl auth can-i, kubectl create role
11. Troubleshooting & Logging: Logs, events, failed Pods, networking, resource problems
Useful commands:
12. HA + CKA Review: HA control plane, etcd, CRDs, backup/recovery, exam-style troubleshooting
Useful commands:
Mixed troubleshooting lab + CKA-style exercises
Conclusion
Kubernetes simplifies the deployment, scaling, management, and operation of containerized applications reliably and efficiently.