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DOCKER FOUNDATIONS AND CORE PRACTICALS SESSION 1 — Docker Fundamentals and Basic Application Deployment Topics What is a container VM vs container Docker Engine architecture Installing Docker Basic commands: pull, run, ps, stop, rm, logs, exec, images, rmi Running NGINX / Python / Node containers Debugging containers Troubleshooting Container not starting Port conflicts Image pull errors SESSION 2 — Docker Images, Dockerfile, Volumes, Networking and CI/CD Docker Topics Dockerfile instructions: FROM, RUN, COPY, WORKDIR, EXPOSE, CMD, ENTRYPOINT Building custom images Image optimization and multi-stage builds Tagging and pushing to Docker Hub .dockerignore Volumes: named volumes and bind mounts Real-world volume usage (MySQL persistence, NGINX bind mount) Docker networks: bridge, host, none Custom networks and multi-container communication Reverse proxy basics Resource limits Cleaning unused images and containers CI/CD What CI/CD means Typical stages: build → test → scan → Docker build → push → deploy Overview of Jenkins, GitHub Actions, GitLab CI How CI/CD interacts with Docker and Kubernetes Troubleshooting Volume not attaching Containers unable to reach each other Reverse proxy routing issues KUBERNETES CORE AND INTERMEDIATE TOPICS SESSION 3 — Kubernetes Architecture, Kubectl, Pods, Labels and Selectors Topics Why Kubernetes is needed Master and worker components API server, controller manager, scheduler, kubelet, kube-proxy, etcd kubeconfig and namespaces Kubectl commands: get, describe, apply, delete, logs, exec, port-forward Pods, pod YAML structure, pod lifecycle Multi-container pods and initContainers Labels and selectors in pods, services, deployments Troubleshooting CrashLoopBackOff ImagePullBackOff Selector mismatch issues SESSION 4 — ReplicaSets, Deployments, Services, ConfigMaps, Secrets, Storage and Helm Main Kubernetes Topics ReplicaSets and desired state Deployments: rolling updates, rollbacks, revision history Services: ClusterIP, NodePort, LoadBalancer DNS and service discovery ConfigMaps and Secrets (env and volume-based) Storage: emptyDir, hostPath, PersistentVolumes, PersistentVolumeClaims StorageClasses and dynamic provisioning Helm What Helm is and why it is used Charts, templates and values files How Helm simplifies deployments Differences between Helm and kubectl apply Example of a Helm-based install Troubleshooting PVC stuck in Pending DNS/service routing problems ConfigMap/Secret misconfigurations ADVANCED KUBERNETES, NETWORKING, SECURITY AND MONITORING SESSION 5 — Ingress, Probes, Resource Management, Scheduling, Taints and Tolerations Topics Ingress basics Path-based and host-based routing NGINX Ingress Controller Probes: liveness, readiness, startup Resource requests and limits, QoS classes, OOMKilled Scheduling: nodeSelector, affinity, anti-affinity Pod affinity and anti-affinity Taints and tolerations Troubleshooting 404 and 503 errors Probes causing restarts Pods not scheduling on any node Taints preventing workload placement SESSION 6 — RBAC, Network Policies, Autoscaling, Logging and Prometheus/Grafana + Final Troubleshooting Lab Main Kubernetes Topics RBAC: service accounts, roles, rolebindings, clusterroles Network policies: allow/deny traffic Horizontal Pod Autoscaler using CPU metrics Vertical Pod Autoscaler (concept) Basic Kubernetes logging: kubectl logs, node logs, sidecar logging pattern Prometheus/Grafana Why monitoring is required What Prometheus does (metrics collection, pull model, exporters) What Grafana does (dashboards and visualization) High-level idea of PromQL and alerts How clusters are monitored in production environments Final Troubleshooting Lab Pod Pending Node NotReady DNS failures ImagePullBackOff OOMKilled Ingress routing issues NetworkPolicy blocking traffic Storage attach failures

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