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Course Outline

Core Concepts

  1. Kubernetes architecture
  2. Cluster components

Application Development

  1. Container creation
  2. Configuration of local Docker repositories

Pod Design

  1. Basic configuration
  2. Liveness and readiness probes
  3. CPU and memory constraints
  4. Namespace resource limits

Security

  1. Security contexts
  2. Service accounts
  3. Secrets
  4. Kubernetes network policies
  5. Linux capabilities

Deployment Configuration

  1. Controllers: Deployments, DaemonSets, and StatefulSets
  2. Jobs and CronJobs
  3. ConfigMaps
  4. Rolling upgrades, blue-green deployment, and canary deployment
  5. Managing deployments using Helm
  6. Kubernetes API resources

Multi-Container Pods

  1. Sidecar, Ambassador, and Adapter patterns
  2. Init containers

Services and Networking

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

State Persistence

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

Requirements

  • Familiarity with cloud-native application concepts and architectures.
  • Programming experience in Python, Node.js, Go, or Java.
  • Proficiency with an OCI-Compliant Container Runtime, such as Docker or rkt.

Target Audience

  • Software Developers
  • Existing Kubernetes Users
 21 Hours

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