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kubernetes.md

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Kubernetes

  • Brief overview of Kubernetes and its purpose
  • Explanation of key concepts (e.g., clusters, nodes, pods, services, deployments)
  • Advantages of using Kubernetes
  • High-level overview of the Kubernetes architecture
  • Explanation of the control plane and worker nodes
  • Roles and responsibilities of each component (e.g., API server, etcd, scheduler, kubelet)
  • Instructions on installing Kubernetes locally (e.g., Minikube, Kind)
  • Overview of managed Kubernetes services (e.g., GKE, EKS, AKS)
  • Explanation of the different types of workload resources (e.g., deployments, pods, replica sets)
  • Step-by-step guide to creating a basic deployment
  • Techniques for scaling applications horizontally and vertically
  • Introduction to Kubernetes services and their role in networking
  • Explanation of service types (e.g., ClusterIP, NodePort, LoadBalancer)
  • Exposing services internally and externally
  • Overview of statefulsets and their use cases
  • Introduction to persistent volumes and persistent volume claims
  • Demonstrating how to deploy a stateful application
  • Using ConfigMaps and Secrets for managing application configuration
  • Autoscaling applications based on CPU or custom metrics
  • Introduction to Horizontal Pod Autoscaling (HPA) and Vertical Pod Autoscaling (VPA)
  • Overview of Kubernetes monitoring and logging best practices
  • Introduction to metrics and logs collection using tools like Prometheus and Fluentd
  • Demonstrating how to set up a basic monitoring stack
  • Strategies for rolling updates and blue/green deployments
  • Using rollout commands to manage application updates
  • Performing rollbacks in case of issues
  • Introduction to commonly used Kubernetes tools and frameworks
  • Overview of Helm, Operators, and other ecosystem projects

Co-authored-by : ChatGPT