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Mastering Kubernetes

You're reading from   Mastering Kubernetes Large scale container deployment and management

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786461001
Length 426 pages
Edition 1st Edition
Tools
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Author (1):
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Gigi Sayfan Gigi Sayfan
Author Profile Icon Gigi Sayfan
Gigi Sayfan
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Table of Contents (16) Chapters Close

Preface 1. Understanding Kubernetes Architecture FREE CHAPTER 2. Creating Kubernetes Clusters 3. Monitoring, Logging, and Troubleshooting 4. High Availability and Reliability 5. Configuring Kubernetes Security, Limits, and Accounts 6. Using Critical Kubernetes Resources 7. Handling Kubernetes Storage 8. Running Stateful Applications with Kubernetes 9. Rolling Updates, Scalability, and Quotas 10. Advanced Kubernetes Networking 11. Running Kubernetes on Multiple Clouds and Cluster Federation 12. Customizing Kubernetes - API and Plugins 13. Handling the Kubernetes Package Manager 14. The Future of Kubernetes 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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