Kubernetes Foundations

This two-day course is the first step in learning about Containers and Kubernetes. Through a series of lectures and lab exercises, the fundamental concepts of Kubernetes will be presented and put to practice by containerizing and deploying a two-tier application into Kubernetes.

Intended Audience

Anyone involved with using or building a Kubernetes cluster

Objectives

By the end of the course, you should be able to meet the following objectives:

• Build, test, and publish Docker container images
• Become familiar with authoring YAML files and its syntax
• Understand Kubernetes core user-facing concepts, including Pods, Services, and Deployments
• Use kubectl the Kubernetes CLI, and become familiar with its commands and options
• Understand the architecture of Kubernetes (Control plane and its components, worker nodes, and kubelet)
• Learn to debug issues with application deployments on Kubernetes
• Apply resource requests, limits, and probes to deployments
• Manage dynamic application configuration using ConfigMaps and Secrets
• Deploy other workloads, including StatefulSets, DaemonSets, Jobs, CronJobs
• Learn about user-facing security best practices using ServiceAccounts, RBAC, and NetworkPolicies

Prerequisites

• Linux concepts and command line proficiency
• General networking proficiency

Course Outline

1 Introduction to Containers

• What and Why Containers
• Building images
• Running containers
• Debugging containers
• Registry and image management

2 Kubernetes Fundamentals

• Why Kubernetes?
• YAML
• Pods
• Services
• Deployments

3 Kubernetes Architecture & Troubleshooting

• Cluster architecture
• Cluster components
• Namespaces
• Debugging 101

4 Deployment Management

• Application deployment strategies
• Controlling active deployments

5 Pod and Container Configurations

• Resource requests, limits, and quotas
• Probes

6 Kubernetes Networking

• Pod networking
• Services deep dive
• Ingress controllers

7 Kubectl and Resource Organization

• kubeconfig
• Namespaces deep dive
• Labels
• Node/Pod affinity
• Taints/Tolerations

8 Stateful Applications

• Persistent storage
• StatefulSets

9 Dynamic Application Configuration

• Docker dynamic configuration
• ConfigMaps
• Secrets

10 Additional Workloads

• Jobs
• CronJobs
• DaemonSets

11 Security

• Service accounts
• Role-Based access control
• Network policies
• SecurityContext