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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
  • Kubernetes fundamental concepts: Pods, labels, controllers, services, secrets, persistent data volumes, claims, namespaces, quotas.

Day 2

  • Kubernetes reference architecture and its main components
  • Container networking model in Kubernetes
  • Service discovery, scaling, and load balancing
  • DNS for service discovery
  • Ingress controller and reverse proxy
  • Application state persistence and the data volume model in Kubernetes
  • Kubernetes storage backends: 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
  • Standalone Pods
  • Storage classes and dynamic storage provisioning
  • Network policies
  • Securing a Kubernetes cluster
  • Authentication, authorization, and access control
  • High availability of the control plane
  • Auto-scaling
  • Cluster monitoring
  • Troubleshooting

Requirements

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

 21 Hours

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