Practice pods, services, deployments, and K8s architecture with orchestration scenarios
Start Practicing NowUnderstand K8s components, control plane, and worker nodes
Master pods, deployments, StatefulSets, and DaemonSets
Learn services, ingress, network policies, and service mesh
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Answer realistic Kubernetes interview questions in a simulated environment
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Monitor your improvement and identify strengths and weaknesses
Pods, deployments, and StatefulSets
Services and networking
ConfigMaps and Secrets
Ingress and load balancing
Helm charts and package management
Monitoring and logging strategies
A: Control plane: API server (entry point), etcd (state storage), scheduler (assigns pods to nodes), controller manager (maintains desired state). Worker nodes: kubelet (manages pods), kube-proxy (networking), container runtime. Control plane makes decisions, workers run containers.
A: Deployment: stateless apps, rolling updates, random pod names. StatefulSet: stateful apps, stable network IDs, ordered deployment/scaling, persistent storage. DaemonSet: runs one pod per node (logging, monitoring). Use Deployment for web apps, StatefulSet for databases, DaemonSet for node-level services.
A: Services provide stable networking for pods. Types: ClusterIP (internal only), NodePort (exposes on node IP:port), LoadBalancer (cloud load balancer), ExternalName (DNS). Services use selectors to find pods. kube-proxy maintains network rules. Services enable discovery and load balancing across pod replicas.
A: Both store configuration. ConfigMaps for non-sensitive data (config files, env vars). Secrets for sensitive data (passwords, tokens), base64 encoded, encrypted at rest if enabled. Secrets can be mounted as volumes or env vars. Use RBAC to restrict Secret access. Never commit Secrets to git.
Understand pod lifecycle and readiness/liveness probes
Master kubectl commands for debugging: logs, exec, describe, get
Know how to write Kubernetes manifests (YAML) for different resource types
Practice with Helm charts for packaging applications
Understand resource requests, limits, and cluster autoscaling
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