Course Outline

Day 1

  • Docker and Linux container technology
  • Docker container lifecycle
  • Working with Docker images
  • Network communication between containers
  • Data persistence in containers
  • Container orchestration requirements and available options
  • Introduction to Kubernetes and other orchestration systems
  • Fundamental concepts of Kubernetes: Pods, labels, controllers, services, secrets, persistent data volumes, claims, namespaces, quotas.

Day 2

  • Reference architecture of Kubernetes and its main components
  • Container network model in Kubernetes
  • Service discovery, scaling, and load balancing
  • DNS for service discovery
  • Ingress controller and reverse proxy
  • Application state persistence and data volume model in Kubernetes
  • Storage backends in Kubernetes: local, NFS, GlusterFS, Ceph
  • Cluster management
  • Deploying applications and services on a Kubernetes cluster

Day 3

  • Advanced controllers: Daemon Sets and Stateful Sets
  • Jobs and Cron jobs
  • Autonomous pods
  • Storage classes and dynamic storage provisioning
  • Network policies
  • Securing a Kubernetes cluster
  • Authentication, authorization, and access control
  • High availability of the control plane
  • Automatic scaling
  • Cluster monitoring
  • Troubleshooting

Requirements

Familiarity with using the Linux command line, Linux file system, Linux networking, bash scripting. Concepts and methodologies of computer programming. Familiarity with Docker and Linux container technology.

 21 Hours

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