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

Clusterpedia

Clusterpedia is a CNCF sandbox project. Its central metaphor is Wikipedia for Kubernetes clusters. It has a lot of capabilities around multi-cluster search, filtering, field selection, and sorting. This is unusual because it is a read-only project. It doesn’t offer to help with managing the clusters or deploying workloads. It is focused on observing your clusters.

Clusterpedia architecture

The architecture is similar to other multi-cluster projects. There is a control plane element that runs the Clusterpedia API server and ClusterSynchro manager components. For each observed cluster, there is a dedicated component called cluster syncro that synchronizes the state of the clusters into the storage layer of Clusterpedia. One of the most interesting aspects of the architecture is the Clusterpedia aggregated API server, which makes all your clusters seem like a single huge logical cluster. Note that the Clusterpedia API server and the ClusterSynchro manager...