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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, Quotas

Day 2

  • Kubernetes Reference Architecture and Its Key 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 Kubernetes Data Volume Model
  • 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
  • Control Plane High Availability
  • Auto-Scaling
  • Cluster Monitoring
  • Troubleshooting

Requirements

Familiarity with the Linux command line, Linux filesystem, Linux networking, and bash scripting. Basic knowledge of programming concepts and methodologies. Prior experience with Docker and Linux container technologies.

 21 Hours

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