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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
  • Fundamental Kubernetes Concepts: Pods, Labels, Controllers, Services, Secrets, Persistent Volume Claims, Namespaces, and Quotas.

Day 2

  • Kubernetes Reference Architecture and Its Core Components
  • Networking Model for Containers in Kubernetes
  • Service Discovery, Scaling, and Load Balancing
  • DNS for Service Discovery
  • Ingress Controller and Reverse Proxy
  • Stateful Application Persistence and Data Volume Model in Kubernetes
  • Storage Backend 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
  • 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 file system, Linux networking, and Bash scripting. Knowledge of computer programming concepts and methodologies. Familiarity with Docker container technology and Linux.

 21 Hours

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