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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Stretched Kubernetes clusters versus multi-cluster Kubernetes

There are several reasons to run multiple Kubernetes clusters:

  • You want redundancy in case the geographical zone your cluster runs in has some issues
  • You need more nodes or pods than a single Kubernetes cluster supports
  • You want to isolate workloads across different clusters for security reasons

For the first reason it is possible to use a stretched cluster; for the other reasons, you must run multiple clusters.

Understanding stretched Kubernetes clusters

A stretched cluster (AKA wide cluster) is a single Kubernetes cluster where the control plane nodes and the work nodes are provisioned across multiple geographical availability zones or regions. Cloud providers offer this model for HA-managed Kubernetes clusters.

Pros of a stretched cluster

There are several benefits to the stretched cluster model:

  • Your cluster, with proper redundancy, is protected from data center...