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

Performing rolling updates with autoscaling


Rolling updates are the cornerstone of managing large clusters. Kubernetes support rolling updates at the replication controller level and by using deployments. Rolling updates using replication controllers are incompatible with the horizontal pod autoscaler. The reason is that, during the rolling deployment, a new replication controller is created and the horizontal pod autoscaler remains bound to the old replication controller. Unfortunately, the intuitive Kubectl rolling-update command triggers a replication controller rolling update.

Since rolling updates are such an important capability, I recommend that you always bind horizontal pod autoscalers to a deployment object instead of a replication controller or a replica set. When the horizontal pod autoscaler is bound to a deployment, it can set the replicas in the deployment spec and let the deployment take care of the necessary underlying rolling update and replication.

Here is a deployment configuration...