Book Image

Mastering Kubernetes

By : Gigi Sayfan
Book Image

Mastering Kubernetes

By: Gigi Sayfan

Overview of this book

Kubernetes is an open source system to automate the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want automated management of your containers, you need Kubernetes. This book mainly focuses on the advanced management of Kubernetes clusters. It covers problems that arise when you start using container orchestration in production. We start by giving you an overview of the guiding principles in Kubernetes design and show you the best practises in the fields of security, high availability, and cluster federation. You will discover how to run complex stateful microservices on Kubernetes including advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage back ends. Using real-world use cases, we explain the options for network configuration and provides guidelines on how to set up, operate, and troubleshoot various Kubernetes networking plugins. Finally, we cover custom resource development and utilization in automation and maintenance workflows. By the end of this book, you’ll know everything you need to know to go from intermediate to advanced level.
Table of Contents (22 chapters)
Mastering Kubernetes
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Pushing the envelope with Kubernetes


In this section, we will see how the Kubernetes team pushes Kubernetes to its limit. The numbers are quite telling, but some of the tools and techniques, such as Kubemark, are ingenious, and you may even use them to test your clusters. In the wild, there are some Kubernetes clusters with 3,000 nodes. Recently, at CERN, the OpenStack team achieved 2 million requests per second:

http://superuser.openstack.org/articles/scaling-magnum-and-kubernetes-2-million-requests-per-second/.

Mirantis conducted a performance and scaling test in their scaling lab where they deployed 5,000 Kubernetes nodes (in VMs) on 500 physical servers. More details here: http://bit.ly/2oijqQY.

At the end of this section you'll appreciate the effort and creativeness that goes into improving Kubernetes on a large scale, you will know how far you can push a single Kubernetes cluster and what performance to expect, and you'll get an inside look at some tools and techniques that can help...