Software Engineering Goal Templates Kubernetes

Kubernetes

Kubernetes is an open-source container orchestration system for automating software deployment, scaling, and management. Originally designed by Google, the project is now maintained by the Cloud Native Computing Foundation. Use this learning plan to gain proficiency in Kubernetes and its concepts, components and best practices.

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Use this learning plan to master Kubernetes and automate the deployment, scaling, and management of containerized applications.

  1. Basics of Containers

    • Understand the fundamentals of containerization, container engines (Docker), and container images.
    • Learn how containers provide isolation, portability, and scalability for applications.

  2. Introduction to Kubernetes

    • Familiarize yourself with the basic concepts of Kubernetes, including Pods, Services, Deployments, and Nodes.
    • Understand the benefits of using Kubernetes for container orchestration.

  3. Kubernetes Architecture

    • Explore the architecture of Kubernetes, including the control plane components (API server, controller manager, scheduler, etcd) and worker node components (kubelet, kube-proxy, container runtime).
    • Learn about the role of networking, storage, and DNS in Kubernetes.

  4. Kubernetes Installation and Setup

    • Install a local Kubernetes cluster using Minikube or a cloud-based cluster using managed services like Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), or Azure Kubernetes Service (AKS).
    • Configure and validate the cluster setup.

  5. Managing Pods and Deployments

    • Learn how to create and manage Pods, which encapsulate one or more containers.
    • Understand Deployments and ReplicaSets for managing application lifecycles, scaling, and rolling updates.

  6. Service Discovery and Load Balancing

    • Explore Kubernetes Services and how they provide a stable network endpoint to access a set of Pods.
    • Understand different types of Services (ClusterIP, NodePort, LoadBalancer) and their use cases.

  7. Persistent Storage and Volumes

    • Learn about Persistent Volumes (PV) and Persistent Volume Claims (PVC) for managing data storage in Kubernetes.
    • Understand different storage options like local storage, network-attached storage (NAS), and cloud-based storage.

  8. Scaling and Auto-Scaling

    • Explore horizontal and vertical scaling of applications in Kubernetes.
    • Learn about Kubernetes Auto-Scaling features based on CPU utilization and custom metrics.

  9. Service Mesh and Networking

    • Understand the role of service meshes like Istio or Linkerd for advanced networking, traffic management, and security in Kubernetes.
    • Learn about Ingress controllers and how to expose services to external traffic.

  10. Monitoring and Logging

    • Explore monitoring and logging techniques in Kubernetes using tools like Prometheus, Grafana, and Elasticsearch.
    • Learn about Kubernetes-specific metrics, logging best practices, and troubleshooting strategies.

  11. Application Configuration and Secrets

    • Understand how to manage application configurations using ConfigMaps and Secrets.
    • Explore best practices for handling sensitive information securely within Kubernetes.

  12. Deploying Stateful Applications

    • Learn how to deploy and manage stateful applications in Kubernetes using StatefulSets and Operators.
    • Understand concepts like persistent state, ordered pod startup, and pod identity.

  13. Kubernetes Security

    • Explore security best practices for securing Kubernetes clusters and applications.
    • Learn about RBAC (Role-Based Access Control), network policies, Pod security policies, and container runtime security.

  14. Kubernetes Upgrades and Maintenance

    • Understand the process of upgrading Kubernetes clusters and managing rolling updates of applications.
    • Learn about backup and restore strategies for Kubernetes resources.

  15. Advanced Topics and Ecosystem

    • Dive deeper into advanced topics based on your interests, such as custom resource definitions (CRDs), Operators, Helm charts, and GitOps.
    • Explore the Kubernetes ecosystem and related tools like Kustomize, Skaffold, and ArgoCD.

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