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Course Outline

Core Concepts

  1. Kubernetes architecture
  2. Cluster components

Building the Application

  1. Creating containers
  2. Configuring a local Docker repository

Pod Design

  1. Basic configuration
  2. Liveness and readiness probes
  3. CPU and memory constraints
  4. Resource limits for a namespace

Security

  1. Security context
  2. Service accounts
  3. Secrets
  4. Kubernetes network policy
  5. Linux capabilities

Deployment Configuration

  1. Controllers: deployments, daemon sets, and stateful sets
  2. Jobs and cron jobs
  3. Config maps
  4. Rolling upgrades, blue-green deployments, and canary deployments
  5. Using Helm for managing deployments
  6. Kubernetes API resources

Multi-container Pods

  1. Sidecar, ambassador, and adapter containers
  2. Init containers

Services & Networking

  1. Services and their various types
  2. Load balancing
  3. Ingress controller

State Persistence

  1. Persisting application state in Kubernetes
  2. Ephemeral storage
  3. Persistent volumes and claims
  4. Storage classes

Requirements

  • A solid grasp of cloud-native application concepts and architectures.
  • Programming experience in Python, Node.js, Go, or Java.
  • Familiarity with an OCI-compliant container runtime, such as Docker or rkt.

Target Audience

  • Software Developers
  • Kubernetes Users
 21 Hours

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