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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Writing Kubernetes plugins

In this section, we will dive into the guts of Kubernetes and learn how to take advantage of its famous flexibility and extensibility. We will learn about different aspects that can be customized via plugins and how to implement such plugins and integrate them with Kubernetes.

Writing a custom scheduler

Kubernetes is all about orchestrating containerized workloads. The most fundamental responsibility is to schedule pods to run on cluster nodes. Before we can write our own scheduler, we need to understand how scheduling works in Kubernetes

Understanding the design of the Kubernetes scheduler

The Kubernetes scheduler has a very simple role – when a new pod needs to be created, assign it to a target node. That’s it. The Kubelet on the target node will take it from there and instruct the container runtime on the node to run the pod’s containers.

The Kubernetes scheduler implements the Controller pattern:

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