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

Load balancing options

Load balancing is a critical capability in dynamic systems such as a Kubernetes cluster. Nodes, VMs, and pods come and go, but the clients typically can’t keep track of which individual entities can service their requests. Even if they could, it requires a complicated dance of managing a dynamic map of the cluster, refreshing it frequently, and handling disconnected, unresponsive, or just slow nodes. This so-called client-side load balancing is appropriate in special cases only. Server-side load balancing is a battle-tested and well-understood mechanism that adds a layer of indirection that hides the internal turmoil from the clients or consumers outside the cluster. There are options for external as well as internal load balancers. You can also mix and match and use both. The hybrid approach has its own particular pros and cons, such as performance versus flexibility. We will cover the following options:

  • External load balancer
  • Service...