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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Virtual Kubelet

Virtual Kubelet is a fascinating project. It impersonates a kubelet to connect Kubernetes to other APIs such as AWS Fargate or Azure ACI. The Virtual Kubelet looks like a node to the Kubernetes cluster, but the compute resources backing it up are abstracted away. The Virtual Kubelet looks like just another node to the Kubernetes cluster:

Figure 11.9: Virtual Kubelet, which looks like a regular node to the Kubernetes cluster

The features of the Virtual Kubelet are:

  • Creating, updating, and deleting pods
  • Accessing container logs and metrics
  • Getting a pod, pods, and pod status
  • Managing capacity
  • Accessing node addresses, node capacity, and node daemon endpoints
  • Choosing the operating system
  • Supporting your own virtual network

See for more details.

This concept can be used to connect multiple Kubernetes clusters too, and several projects follow this...