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)
19
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Index

Karmada

Karmada is a CNCF sandbox project that focuses on deploying and running workloads across multiple Kubernetes clusters. Its claim to fame is that you don’t need to make changes to your application configuration. While CAPI was focused on the lifecycle management of clusters, Karmada picks up when you already have a set of Kubernetes clusters and you want to deploy workloads across all of them. Conceptually, Karmada is a modern take on the abandoned Kubernetes Federation project.

It can work with Kubernetes in the cloud, on-prem, and on the edge.

See https://github.com/karmada-io/karmada.

Let’s look at Karmada’s architecture.

Karmada architecture

Karmada is heavily inspired by Kubernetes. It provides a multi-cluster control plane with similar components to the Kubernetes control plane:

  • Karmada API server
  • Karmada controller manager
  • Karmada scheduler

If you understand how Kubernetes works, then it is pretty...