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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
  • Core Kubernetes concepts: Pods, labels, controllers, services, secrets, persistent data volumes, claims, namespaces, and 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 controllers and reverse proxies
  • Stateful applications persistence and Kubernetes data volume models
  • 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
  • Autonomy of 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 systems, Linux networking, and Bash scripting. Understanding of fundamental computer programming concepts and methodologies. Prior knowledge of Docker container technology and Linux is also recommended.

 21 Hours

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