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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 core concepts: Pods, labels, controllers, services, secrets, persistent data volumes, claims, namespaces, quotas.

Day 2

  • Kubernetes reference architecture and its primary 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 volume data 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: DaemonSets and StatefulSets
  • Jobs and CronJobs
  • 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 the Linux command line, Linux file system, Linux networking, and bash scripting. Understanding of computer programming concepts and methodologies. Prior knowledge of Docker container technology and Linux is recommended.

 21 Hours

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