Prerequisites:

• Familiarity with Docker and basic Linux commands.
• Familiarity with Git/GitHub
• Visual Studio Code
• Comfortable with Command line interface ( Windows/Linux/Mac )
• Tools: Minikube/Kind, kubectl, Helm

Learning Outcomes:

• Understand Kubernetes architecture and key concepts.
• Deploy and manage containerized applications.
• Use advanced features like Ingress, Persistent Volumes, and StatefulSets.
• Implement basic security and monitoring practices.

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Kubernetes Foundations

Session 1: Introduction to Kubernetes

• Topics Covered:
  • What is Kubernetes and why use it?
  • Core Kubernetes components: Nodes, Pods, Clusters
  • The Kubernetes architecture: API server, etcd, kubelet, controller manager, scheduler
  • Overview of declarative vs. imperative configurations
• Hands-On Lab:
  • Set up kubectl with Cloud based Lab cluster

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Session 2: Kubernetes Building Blocks

• Topics Covered:
  • Pods, ReplicaSets, Deployments
  • Namespaces and labels/selectors
  • Services: ClusterIP, NodePort, LoadBalancer
• Hands-On Lab:
  • Create and manage a Pod using YAML manifests.
  • Scale an application using ReplicaSets.
  • Expose an application with a Service.

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Session 3: Networking in Kubernetes

• Topics Covered:
  • Kubernetes networking basics
  • CNI plugins (e.g., Calico, Flannel)
  • Service discovery and DNS
  • Ingress and egress traffic
• Hands-On Lab:
  • Deploy an NGINX application with an Ingress resource for routing.

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Session 4: Storage in Kubernetes

• Topics Covered:
  • Persistent Volumes (PV) and Persistent Volume Claims (PVC)
  • StorageClasses
  • Dynamic provisioning
  • ConfigMaps and Secrets
• Hands-On Lab:
  • Deploy an application using PVC for storage.
  • Use ConfigMaps and Secrets to manage environment variables.

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Foundation Wrap-Up

• Q&A and recap of foundational concepts.
• Assign homework: Create a Deployment and expose it using a LoadBalancer service.

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Advanced Kubernetes Concepts

Session 1: Managing Workloads

• Topics Covered:
  • StatefulSets and DaemonSets
  • Jobs and CronJobs
  • Horizontal Pod Autoscaling (HPA)
• Hands-On Lab:
  • Deploy a database using StatefulSet.
  • Create a CronJob to run periodic tasks.

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Session 2: Security in Kubernetes

• Topics Covered:
  • Role-Based Access Control (RBAC)
  • Network Policies
  • Securing Secrets
  • Pod security policies
• Hands-On Lab:
  • Create RBAC roles and bind them to users.
  • Implement a NetworkPolicy to restrict pod communication.

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Session 3: Monitoring and Logging

• Topics Covered:
  • Overview of monitoring tools (Prometheus, Grafana)
  • Logging with Fluentd, ELK, or Loki
  • Using kubectl logs and kubectl top
• Hands-On Lab:
  • Deploy a sample Prometheus and Grafana stack.
  • Visualize metrics and logs for an application.

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Session 4: CI/CD and Kubernetes

• Topics Covered:
  • Kubernetes in a CI/CD pipeline
  • Tools: Helm, ArgoCD, Flux
  • Deploying applications with Helm
• Hands-On Lab:
  • Package and deploy an application using Helm.
  • Implement a basic GitOps pipeline with ArgoCD.

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Final Wrap-Up

• Recap of advanced concepts.
• Discussion on Kubernetes best practices and real-world use cases.
• Resources for further learning (certifications, documentation, etc.)
• Q&A session.