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Course Outline

Core Concepts

  1. Kubernetes Architecture
  2. Cluster Components

Building the Application

  1. Creating Containers
  2. Configuring the Local Docker Repository

Pod Design

  1. Base 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, DaemonSets, and StatefulSets
  2. Jobs and CronJobs
  3. ConfigMaps
  4. Rolling Upgrades, Blue-Green Deployment, and Canary Deployment
  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 Different Types
  2. Load Balancing
  3. Ingress Controller

State Persistence

  1. Persistence of Application State in Kubernetes
  2. Ephemeral Storage
  3. Persistent Volumes and Claims
  4. Storage Classes

Requirements

  • A solid understanding of cloud-native application concepts and architectures.
  • Experience programming in Python, Node.js, Go, or Java.
  • An OCI-compliant Container Runtime, such as Docker or rkt.

Audience

  • Developers
  • Kubernetes Users
 21 Hours

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