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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

Running a Cassandra cluster in Kubernetes


In this section, we will explore in detail a very large example of configuring a Cassandra cluster to run on a Kubernetes cluster. The full example can be accessed here:

https://github.com/kubernetes/kubernetes/tree/master/examples/storage/cassandra.

First, we'll learn a little bit about Cassandra itself and its idiosyncrasies and then follow a step-by-step procedure to get it running using several of the techniques and strategies we've covered in the previous section.

Quick introduction to Cassandra

Cassandra is a distributed columnar data store. It was designed from the get go for big data. Cassandra is fast, robust (no single point of failure), highly-available, and linearly scalable. It also has multi-data center support. It achieves all this by having a laser focus and carefully crafting the features it supports—and just as importantly—the features it doesn't support. In a previous company, I ran a Kubernetes cluster that used Cassandra as the...

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