Book Image

DevOps with Kubernetes

By : Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu
Book Image

DevOps with Kubernetes

By: Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu

Overview of this book

Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.
Table of Contents (12 chapters)

Cluster Administration

We've learned most of our basic DevOps skills with Kubernetes in previous chapters, from how to containerize our application to deploying our containerized software into Kubernetes seamlessly via continuous deployment. Now, it's time to have a deeper insight into how to administer a Kubernetes cluster.

In this chapter, we'll learn:

  • How to utilize namespaces to set administrative boundaries
  • Using kubeconfig to switch between multiple clusters
  • Kubernetes authentication
  • Kubernetes authorization

While minikube is a fairly simple environment, we will use the Google Container Engine (GKE) and self-hosted cluster in AWS as the example, instead of minikube in this chapter. For the detailed setting, please refer to Chapter 9, Kubernetes on AWS, and Chapter 10, Kubernetes on GCP.