kubernetes for professional

Prerequisites

• Basic understanding of Linux and networking concepts
• Familiarity with Docker and containerization principles

Course Duration

• Instructor-led: 3 weeks (intensive)

Course Content

Module 1: Introduction to Kubernetes

• What is Kubernetes?
• Core concepts: pods, nodes, clusters, namespaces
• Benefits of Kubernetes
• Comparing Kubernetes with Docker Swarm

Module 2: Kubernetes Architecture

• Kubernetes control plane components: etcd, kube-apiserver, kube-scheduler, kube-controller-manager
• Node components: kubelet, kube-proxy
• Cluster setup and configuration

Module 3: Deploying Applications on Kubernetes

• Creating Kubernetes objects: deployments, pods, services, and replication controllers
• Using kubectl to manage Kubernetes resources
• Configuring deployments and replications
• Understanding rolling updates and canary deployments

Module 4: Kubernetes Networking

• Kubernetes network models: pod network, service network, and ingress controller
• Configuring network policies
• Load balancing and service discovery

Module 5: Kubernetes Storage

• Persistent volumes and persistent volume claims
• Dynamic provisioning of storage
• Backing up and restoring data

Module 6: Kubernetes Security

• Securing Kubernetes clusters: RBAC, network policies, and secrets management
• Image scanning and vulnerability assessment
• Auditing and logging

Module 7: Kubernetes Monitoring and Logging

• Monitoring Kubernetes clusters with tools like Prometheus and Grafana
• Logging with tools like Elasticsearch, Logstash, and Kibana (ELK stack)
• Alerting and notification systems

Practical Projects

• Deploying a Simple Web Application:
  • Create a Docker image for a web application.
  • Deploy the application to a Kubernetes cluster.
  • Configure load balancing and scaling.
• Building a Microservices Architecture:
  • Deploy multiple microservices to a Kubernetes cluster.
  • Configure service discovery, load balancing, and communication between services.
• Setting Up a CI/CD Pipeline with Kubernetes:
  • Integrate Kubernetes with a CI/CD tool like Jenkins or GitLab CI/CD.
  • Automate the deployment process.