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

Comparing Minikube, KinD and k3d

Minikube is an official local Kubernetes release. It's very mature and very full-featured. That said, it requires a VM and is both slow to install and to start. It also can get into trouble with networking at arbitrary times and sometimes the only remedy is deleting the cluster and rebooting. Also, minikube supports a single node only. I suggest to use Minikube only if it supports some feature that you need that is not available in either KinD or k3d. See https://minikube.sigs.k8s.io/ for more info.

KinD is much faster than Minikube and is used for Kubernetes conformance tests, so by definition it is a conformant Kubernetes distribution. It is the only local cluster solution that provides HA cluster with multiple control-plane nodes. It is also designed to be used as a library, which I don't find as a big attraction because it is very easy to automate CLIs from code. The main downside of KinD for local development is that it is ephemeral. I recommend...