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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. 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 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. 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 Controllers

State Persistence

  1. Persisting 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.
  • Programming experience in Python, Node.js, Go, or Java.
  • Access to an OCI-compliant container runtime, such as Docker or rkt.

Target Audience

  • Developers
  • Kubernetes Users
 21 Hours

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