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

Serverless Kubernetes in the cloud

All the major cloud providers now support serverless long-running services for Kubernetes. Microsoft Azure was the first to offer it. Kubernetes interacts with nodes via the kubelet. The basic idea of serverless infrastructure is that instead of provisioning actual nodes (physical or VMs) a virtual node is created in some fashion. Different cloud providers use different solutions to accomplish this goal.

Don’t forget the cluster auto scaler

Before jumping into cloud provider-specific solutions make sure to check out the Kubernetes-native option of the cluster autoscaler. The cluster autoscaler scales the nodes in your cluster and doesn’t suffer from the limitations of some of the other solutions. All the Kubernetes scheduling and control mechanisms work out of the box with the cluster autoscaler because it just automates adding and removing regular nodes from your cluster. No exotic and provider-specific capabilities...