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Inspired by Cloud Native Computing Foundation (CNCF) and kubernetes.io, the Kubernetes Fundamentals course is designed for developers and system engineers who want to get started with Kubernetes. It is focused on hands-on practice and it will help you to develop basic skills needed to interact with the Kubernetes ecosystem.

This course together with the “Kubernetes Pro”, align with the Certified Kubernetes Administrator and Certified Kubernetes Application Developer exams from the CNCF. 

Once you master Kubernetes, you can manage other container-orchestration solutions such as RedHat Openshift, Amazon EKS, Azure AKS or Google GKE.

Difficulty level: Beginner to Intermediate

• Docker and Kubernetes architecture
• Containerize and deploy an application on Kubernetes
• Understand multi-container pod design
• Implement services and load balancing
• Autoscale your application based on compute metrics

Developers, system engineers and architects who want to get started with Kubernetes and gain more skills.

• To get the most out of this course, you should have:

  • Basic Linux command line skills
  • File editing skills (yaml, json)
  • Overview of Cloud Native application concepts and architectures
  
  

  Recommended free courses:

  • Introduction to Cloud Infrastructure Technologies (LFS151x)
  • Introduction to Kubernetes (LFS158)

Day 1

 Course introduction

• Course goals
• Recommended lectures
• Kubernetes certifications
• Your practice environment

 Docker Overview

• Docker internals and security
• Containers vs VMs
• Dev vs Ops - separation of concerns
• Docker components (architecture)

Lab: Set up your Docker host machine

Application containerization

• Docker images
• Containers
• Resource quotas
• Container operations
• Docker networking
• Docker volumes

Lab: Configure, build and run applications using Docker

Kubernetes architecture

• Kubernetes adoption
• Kubernetes features
• Self-Healing

Lab: Set up your Kubernetes lab cluster

Understanding the Kubernetes API

• API Terminology
• Interact with Kubernetes API
• Namespaces
• Labels, annotations and selectors

Lab: Interacting with Kubernetes API using kubectl and the Kubernetes dashboard

Day 2

Pods

• Pod manifest
• Pod operations (create, list, delete, update, debug)
• Pod Lifecycle
• Container probes (self-healing with Readiness and Liveness probes)
• Resource Management (resource requests vs resource limits)

Lab: Deploy, monitor and configure resource management for Pods

 Services and Load Balancing

• Multi-Port Services
• Service types
• Cluster internal DNS
• Gateway API
• HTTPRoute

Lab: Exposing your application inside and outside of a Kubernetes cluster

ReplicaSets and Deployments

• Controller Objects
• ReplicaSets and Deployments
• Taints and Tolerations
• Deployment strategies
• Autoscaling applications deployed on Kubernetes

Lab: Deploy a real application on a Kubernetes cluster

Persistence in Kubernetes

• Types of Volumes
• Persistent Volume
• Persistent Volume Claim

Lab: Add persistence to an existing application deployed on a Kubernetes cluster