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Course Outline

Core Concepts

  1. Kubernetes architecture
  2. Cluster components

Application Construction

  1. Container creation
  2. Configuring local Docker repositories

Pod Design

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

Security

  1. Security contexts
  2. Service accounts
  3. Secrets management
  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 deployments, and canary deployments
  5. Helm for deployment management
  6. Kubernetes API resources

Multi-Container Pods

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

Services & Networking

  1. Service types and configurations
  2. Load balancing mechanisms
  3. Ingress controllers

State Persistence

  1. Managing 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
  • Kubernetes Users
 21 Hours

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