Book Image

Mastering Kubernetes - Fourth Edition

By : Gigi Sayfan
3.3 (3)
Book Image

Mastering Kubernetes - Fourth Edition

3.3 (3)
By: Gigi Sayfan

Overview of this book

The fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters. You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes. Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management. By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.
Table of Contents (21 chapters)
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Index

The rise of managed Kubernetes platforms

Pretty much every cloud provider has a solid managed Kubernetes offering these days. Sometimes there are multiple flavors and ways of running Kubernetes on a given cloud provider.

Public cloud Kubernetes platforms

Here are some of the prominent managed platforms:

  • Google GKE
  • Microsoft AKS
  • Amazon EKS
  • Digital Ocean
  • Oracle Cloud
  • IBM Cloud Kubernetes service
  • Alibaba ACK
  • Tencent TKE

Of course, you can always roll your own and use the public cloud providers just as infrastructure providers. This is a very common use case with Kubernetes.

Bare metal, private clouds, and Kubernetes on the edge

Here, you can find Kubernetes distributions that are designed or configured to run in special environments, often in your own data centers as a private cloud or in more restricted environments like edge computing on small devices:

  • Google Anthos for GKE
  • OpenStack
  • ...