KBS-103 Kubernetes Administration - Detailed Course Outline

Course Length

3 days

Course Overview

Kubernetes is the de-facto system for container orchestration, e.g. automating the deployment, scaling and management of microservices-based, containerized applications.

This training introduces participants to the basic concepts and architecture of Kubernetes, its initial install, setup and access control, Kubernetes Pods and Workloads, Scheduling and Node management, Accessing the applications, Persistent storage in Kubernetes as well as its Logging, Monitoring and Troubleshooting facilities. This course prepares for the daily administration of Kubernetes based systems.

Learning Objectives

Upon completion of this course, participants will be able to:

• Understand the basic concepts and architecture of Kubernetes
• Install and set up Kubernetes clusters
• Configure access control and security for Kubernetes
• Deploy and manage Kubernetes Pods and Workloads
• Implement scheduling and node management strategies
• Configure application access through Services and Ingress
• Manage persistent storage in Kubernetes environments
• Work with special workloads like StatefulSets, Jobs, and DaemonSets
• Implement logging, monitoring and troubleshooting practices
• Upgrade and maintain Kubernetes clusters

Prerequisites

Proficiency with the Linux CLI. A broad understanding of Linux system administration. Basic knowledge of Linux containers, e.g. Docker.

Course Modules

Module 1: Kubernetes introduction

Cloud computing in general
Cloud types
Cloud native computing
Container orchestration
Kubernetes
Kubernetes concepts
Kubernetes objects categories
Custom resource definitions
Kubernetes architecture
Kubernetes master
Kubernetes node
Kubernetes Lab: Health check

Module 2: Accessing Kubernetes

Accessing the Kubernetes cluster
Controlling access to the API
Authorization
Role Based Access Control
Roles and ClusterRoles
Role bindings
Admission control
Kubernetes Lab: Accessing API

Module 3: Kubernetes Workloads

The pod
Our first Pod
Operations on pods
Pod Status and Lifecycle
Pod probe examples
RestartPolicy examples
InitContainers Pod resource management
Pod security context
Patterns for Composite Containers
ReplicationController and ReplicaSet
Working with ReplicationController, ReplicaSet
Deployments
Working with Deployments
Kubernetes Lab: Workloads

Module 4: Scheduling and node management

The Kubernetes Scheduler
Pod priorities and preemption
Assigning Pods to Nodes
Assigning Pods to Nodes – Node affinities
Assigning Pods to Nodes – Pod affinities
Taints and tolerations
Managing nodes
Kubernetes Lab: Scheduling

Module 5: Accessing the applications

Services
Service types
Working with Services
Ingress
Ingress definition
Working with Ingress
Network Policies
Network Policy example
Kubernetes Lab: Accessing Applications

Module 6: Persistent storage in Kubernetes

Volumes
Volume example
Volume types
Persistent Volumes
Persistent Volume example
Dynamic PVC provisioning
Secrets
Using Secrets as environmental variables
Using Secrets as volumes
ConfigMaps
Kubernetes Lab: Persistent Storage

Module 7: Kubernetes Special Workloads

StatefulSets
StatefulSets - Limitations
StatefulSet example
StatefulSet example with PVC
Jobs, CronJobs
Jobs example
CronJobs example
DaemonSets
Kubernetes Lab: Special workloads

Module 8: Logging, monitoring and troubleshooting

Logging architecture
Monitoring
Troubleshooting
Kubernetes Lab: Logging and Monitoring

Module 9: Installing and upgrading Kubernetes

Picking the right solution
One node Kubernetes install
Kubernetes universal installer
Install using kubeadm on CentOS
Upgrading Kubernetes
Kubernetes Networking
Kubernetes Lab: Upgrading Kubernetes

Appendix: Application containers

Application containers
Containers on Linux
Container runtime

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KBS-103

Kubernetes Administration