Mastering Kubernetes: From Fundamentals to Advanced Deployment

What Will You Learn?

• 1. The Foundations of Kubernetes
• What Kubernetes is and why it's used
• How Kubernetes automates container orchestration
• Core concepts: Pods, Nodes, Deployments, Services
• The architecture: API Server, etcd, Kubelet, Controller Manager, and Scheduler
• 2. Set Up and Use Kubernetes Clusters
• Install and configure Kubernetes locally (with Minikube or kind) or on the cloud (GKE, EKS, AKS)
• Use kubectl to interact with the cluster
• Deploy your first containerized application
• 3. Deploy and Manage Applications
• Deploy applications using Pods, Deployments, and ReplicaSets
• Perform rolling updates and rollbacks
• Ensure high availability and scalability
• 4. Expose and Network Applications
• Use Services to expose applications internally or externally
• Set up Ingress controllers to manage external access with routing rules
• Understand DNS, service discovery, and cluster networking
• 5. Work with Configurations and Secrets
• Use ConfigMaps to manage app settings
• Secure data with Secrets (passwords, tokens)
• Inject configuration into Pods via environment variables or mounted volumes
• 6. Manage Storage in Kubernetes
• Use Volumes, Persistent Volumes (PVs), and Persistent Volume Claims (PVCs)
• Understand dynamic provisioning and StorageClasses
• Attach cloud-based storage (e.g., AWS EBS, GCE PD)
• 7. Organize and Scale Workloads
• Use Namespaces to isolate environments (dev, staging, prod)
• Apply resource limits and quotas for fair usage
• Label and select resources with selectors and annotations
• 8. Automate Deployment with Helm
• Install and manage applications using Helm charts
• Create custom Helm charts for your own apps
• Use values files to configure deployments easily
• 9. Run Advanced and Stateful Workloads
• Deploy stateful apps with StatefulSets
• Run background jobs and scheduled tasks with Jobs and CronJobs
• Use DaemonSets for node-wide agents
• 10. Secure and Control Access
• Apply RBAC (Role-Based Access Control) to manage permissions
• Manage service accounts and secrets securely
• Write NetworkPolicies to control traffic flow
• 11. Monitor, Log, and Troubleshoot
• Monitor clusters with Prometheus and Grafana
• Centralize logs using the EFK stack (Elasticsearch, Fluentd, Kibana)
• Use health checks (liveness and readiness probes)
• Debug using kubectl logs, exec, describe, and events
• 12. Use Kubernetes in Production
• Scale apps with Horizontal Pod Autoscalers (HPA)
• Perform blue-green and canary deployments
• Backup and restore workloads
• Understand best practices for uptime and performance
• 13. Integrate Kubernetes into CI/CD Pipelines
• Automate deployments using Jenkins, GitHub Actions, or ArgoCD
• Use GitOps workflows
• Build and deploy containers directly to your clusters
• By the End of the Course, You Will Be Able To:
• Deploy, scale, and manage containerized applications in Kubernetes
• Build production-ready Kubernetes environments
• Understand and use Kubernetes networking, storage, security, and monitoring
• Apply Kubernetes to real-world use cases and integrate it with CI/CD and DevOps pipelines

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