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DevOps with Kubernetes

DevOps with Kubernetes

By : Hideto Saito, Hui-Chuan Chloe Lee, Wu
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DevOps with Kubernetes

DevOps with Kubernetes

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

Overview of this book

Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry. This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Table of Contents (14 chapters)
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Cluster Administration and Extension

In previous chapters, we familiarized ourselves with basic DevOps skills and Kubernetes objects. This included looking at many areas, such as how to containerize our application and deploy our containerized software into Kubernetes. It is now time to gain a deeper insight into Kubernetes cluster administration.

In this chapter, we'll learn about the following topics:

  • Utilizing namespaces to set administrative boundaries
  • Using kubeconfig to switch between multiple clusters
  • Kubernetes authentication
  • Kubernetes authorization
  • Dynamic admission control
  • Kubernetes Custom Resources Definition (CRD) and controllers

While minikube is a fairly simple environment, we will use the Google Kubernetes Engine (GKE) in this chapter. For cluster deployment in GKE, please refer to Chapter 11, Kubernetes on GCP.

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