Kubernetes Tutorials


Kubernetes Tutorials Roadmap


Section 1: Introduction to Kubernetes

  • What is Kubernetes?
    • An open-source container orchestration platform.
    • Automates deployment, scaling, and management of containerized applications.
    • Developed by Google.
  • Why Kubernetes?
    • Handling complex deployments.
    • Scaling applications easily.
    • Self-healing and high availability.
    • Resource utilization efficiency.
  • Core Concepts Overview:
    • Nodes, Clusters, Pods, Deployments, Services, Namespaces.
  • Setting up a Local Kubernetes Environment:
    • Using Minikube.
    • Using Docker Desktop (with Kubernetes enabled).
    • Using k3s or Kind.

Section 2: Kubernetes Architecture and Components

  • Kubernetes Cluster Architecture:
    • Control Plane (Master Node): API Server, etcd, Scheduler, Controller Manager, Cloud Controller Manager (optional).
    • Worker Nodes: Kubelet, Kube-proxy, Container Runtime (Docker, containerd, CRI-O).
  • Understanding Core Objects:
    • Pods: The smallest deployable units.
    • ReplicaSets: Ensuring a stable set of replicas.
    • Deployments: Managing stateless applications.
    • Services: Exposing applications (ClusterIP, NodePort, LoadBalancer).
    • Namespaces: Providing a scope for resources.
  • YAML for Kubernetes Objects:
    • Understanding the structure of Kubernetes YAML files.
    • apiVersion, kind, metadata, spec.

Section 3: Deploying and Managing Applications

  • Deploying a Simple Application:
    • Creating a Deployment YAML.
    • Using kubectl apply to create resources.
    • Checking deployment status.
  • Exposing Your Application:
    • Creating a Service YAML.
    • Accessing the application using different Service types.
  • Scaling Applications:
    • Manually scaling Deployments using kubectl scale.
    • Introduction to Horizontal Pod Autoscaler (HPA).
  • Updating Applications:
    • Rolling updates.
    • Rollbacks.
  • Deleting Resources:
    • Using kubectl delete.

Section 4: Configuration and Storage

  • ConfigMaps:
    • Storing non-sensitive configuration data.
    • Mounting ConfigMaps as volumes or environment variables.
  • Secrets:
    • Storing sensitive information (passwords, keys).
    • Accessing Secrets.
  • Volumes and Persistent Storage:
    • Understanding different volume types (emptyDir, hostPath, persistent volumes).
    • PersistentVolumes (PV) and PersistentVolumeClaims (PVC).
    • StorageClasses.

Section 5: Networking and Services

  • Kubernetes Networking Model:
    • Pod-to-Pod communication.
    • Pod-to-Service communication.
    • External-to-Service communication.
  • Ingress:
    • Managing external access to services.
    • Ingress Controllers.
    • Ingress resources.
  • Network Policies:
    • Controlling network traffic between pods.

Section 6: Advanced Concepts

  • StatefulSets:
    • Managing stateful applications (databases, etc.).
    • Stable network identities and persistent storage.
  • DaemonSets:
    • Ensuring a copy of a pod runs on all (or a subset) of nodes.
  • Jobs and CronJobs:
    • Running batch jobs.
    • Scheduling recurring jobs.
  • Resource Management:
    • Requests and Limits for CPU and Memory.
  • Health Checks (Liveness and Readiness Probes):
    • Ensuring applications are running and ready to serve traffic.
  • Node Selectors and Affinity/Anti-Affinity:
    • Controlling where pods are scheduled.

Section 7: Logging and Monitoring

  • Accessing Pod Logs:
    • Using kubectl logs.
  • Monitoring Cluster Resources:
    • Using Metrics Server.
    • Introduction to Prometheus and Grafana for Kubernetes monitoring.
  • Distributed Tracing (Optional):
    • Understanding tracing concepts.

Section 8: Security in Kubernetes

  • Authentication and Authorization:
    • Users, groups, and ServiceAccounts.
    • Role-Based Access Control (RBAC).
  • Secrets Management Best Practices:
    • Using external secret stores.
  • Network Policies for Security:
    • Restricting network access.
  • Security Contexts:
    • Defining privilege and security settings for pods and containers.

Section 9: Advanced Deployment Strategies and CI/CD

  • Rolling Updates and Rollbacks (Revisited):
    • More in-depth look at deployment strategies.
  • Canary Deployments.
  • Blue/Green Deployments.
  • Introduction to CI/CD with Kubernetes:
    • Integrating Kubernetes with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).

Section 10: Real-World Scenarios and Troubleshooting

  • Deploying a multi-tier application.
  • Troubleshooting common Kubernetes issues (pods not starting, services not accessible).
  • Understanding events and logs for debugging.

Section 11: Kubernetes Ecosystem and Resources

  • Related Tools and Projects:
    • Helm: Package manager for Kubernetes.
    • Istio/Linkerd: Service meshes.
    • Operators: Automating complex application management.
  • Learning Resources:
    • Official Kubernetes documentation.
    • Kubernetes tutorials and guides.
    • Certified Kubernetes Administrator (CKA) curriculum.
    • Community blogs, forums, and conferences.