Book Image

Mastering Kubernetes - Third Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Third Edition

By: Gigi Sayfan

Overview of this book

The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18’s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional.
Table of Contents (19 chapters)
17
Other Books You May Enjoy
18
Index

Serverless Kubernetes in the cloud

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

Don't forget the cluster autoscaler

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...