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Mastering Kubernetes

You're reading from   Mastering Kubernetes Level up your container orchestration skills with Kubernetes to build, run, secure, and observe large-scale distributed apps

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781839211256
Length 642 pages
Edition 3rd Edition
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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 (19) Chapters Close

Preface 1. Understanding Kubernetes Architecture 2. Creating Kubernetes Clusters FREE CHAPTER 3. High Availability and Reliability 4. Securing Kubernetes 5. Using Kubernetes Resources in Practice 6. Managing Storage 7. Running Stateful Applications with Kubernetes 8. Deploying and Updating Applications 9. Packaging Applications 10. Exploring Advanced Networking 11. Running Kubernetes on Multiple Clouds and Cluster Federation 12. Serverless Computing on Kubernetes 13. Monitoring Kubernetes Clusters 14. Utilizing Service Meshes 15. Extending Kubernetes 16. The Future of Kubernetes 17. Other Books You May Enjoy
18. 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 - 5,000 nodes. 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.

OpenAI scaled their machine learning Kubernetes cluster to 2,500 nodes an learned some valuable lessons such as minding the query load of logging agents and storing events in a separate etcd cluster:

https://blog.openai.com/scaling-kubernetes-to-2500-nodes/

There are many more interesting use cases here:

https...

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