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Mastering Kubernetes

Mastering Kubernetes

By : Gigi Sayfan
4 (9)
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Mastering Kubernetes

Mastering Kubernetes

4 (9)
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 (16 chapters)
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15
Index

High-availability best practices


Building reliable and highly available distributed systems is a non-trivial endeavor. In this section, we will check some of the best practices that enable a Kubernetes-based system to function reliably and be available in the face of various failure categories.

Creating highly available clusters

To create a highly available Kubernetes cluster, the master components must be redundant. That means etcd must be deployed as a cluster (typically across three or five nodes) and the Kubernetes API server must be redundant. Auxiliary cluster-management services such as Heapster's storage may be deployed redundantly too, if necessary. The following diagram depicts a typical reliable and highly available Kubernetes cluster. There are several load-balanced master nodes, each one containing whole master components as well as an etcd component:

This is not the only way to configure highly available clusters. You may prefer, for example, to deploy a standalone etcd cluster...

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