Kubernetes Int/Adv

Overview

This hands-on int/Adv Kubernetes course is designed for developers who have a basic understanding of Kubernetes concepts and want to deepen their knowledge and skills. The course will be delivered from a developer's perspective, focusing on practical use cases and best practices for deploying and managing containerized applications in a Kubernetes environment.

Prerequisites

• Basic familiarity with Kubernetes concepts (pods, deployments, services, etc.)

• Understanding of containerization

• Basic knowledge of Docker and its CLI

• Ability to work with a command-line shell

Course Length: 3 Days

Course Outline

Core Concepts and Deployments

• Kubernetes Architecture Deep Dive

  • Review of core Kubernetes components (control plane, worker nodes, pods, containers)

  • Communication and interaction between components

• Installation & Configuration Management

  • Setting up a local Kubernetes cluster using Minikube or Docker Desktop (instructions provided)

  • Exploring cluster configuration with kubectl commands

• Deployment Strategies

  • Deploying applications with Deployments and understanding replica sets

  • Rolling updates and blue/green deployments for zero-downtime application updates

  • Exploring advanced deployment strategies with Helm charts

• Extending Applications with Services

  • Exposing containerized applications with various service types (ClusterIP, NodePort, LoadBalancer)

  • Understanding service discovery and load balancing mechanisms

• Secrets and Configuration Management

  • Securely storing sensitive information with Kubernetes Secrets

  • Managing application configuration with ConfigMaps

Data Persistence and Advanced Workloads

• Persistent Storage

  • Understanding the challenges of managing stateful applications in Kubernetes

  • Utilizing Persistent Volumes (PVs) and Persistent Volume Claims (PVCs) for data persistence

  • Exploring different storage options (hostPath, NFS, cloud storage)

• Managing Stateful Applications

  • Deploying and managing stateful applications using StatefulSets

  • Ensuring data availability and consistency across pod restarts

• DaemonSets and Cluster Management

  • Understanding the purpose and use cases for DaemonSets

  • Scheduling and managing background tasks across the cluster

• Role-Based Access Control (RBAC)

  • Implementing RBAC for fine-grained authorization and access control

  • Securing access to Kubernetes resources for different users and roles

Advanced Networking and Operations

• Ingress Controllers and External Access

  • Exposing applications outside the cluster using Ingress controllers

  • Configuring routing rules and managing external traffic

• Common Kubernetes Patterns

  • Exploring best practices for deploying applications in Kubernetes

  • Implementing sidecar containers for application extensions

  • Understanding other common Kubernetes patterns (init containers, probes, etc.)

• Package Management with Helm

  • Introduction to Helm for managing Kubernetes applications as charts

  • Installing and deploying applications from public and private repositories

• Monitoring and Logging

  • Introduction to Kubernetes monitoring tools (Prometheus, Grafana)

  • Understanding logging best practices and aggregation tools (Fluentd)

• Advanced Scheduling and Operations

  • Scheduling tasks with Jobs and CronJobs

  • Managing authentication and authorization mechanisms

  • Exploring advanced troubleshooting techniques

Note:

• This outline is a guide and can be adjusted based on the specific interests and needs of the audience.

• Exercises will be provided throughout the course to reinforce concepts through practical application.