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The Kubernetes Workshop

You're reading from   The Kubernetes Workshop Learn how to build and run highly scalable workloads on Kubernetes

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838820756
Length 780 pages
Edition 1st Edition
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Authors (6):
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Zachary Arnold Zachary Arnold
Author Profile Icon Zachary Arnold
Zachary Arnold
Mohammed Abu Taleb Mohammed Abu Taleb
Author Profile Icon Mohammed Abu Taleb
Mohammed Abu Taleb
Wei Huang Wei Huang
Author Profile Icon Wei Huang
Wei Huang
Sahil Dua Sahil Dua
Author Profile Icon Sahil Dua
Sahil Dua
Mélony Qin Mélony Qin
Author Profile Icon Mélony Qin
Mélony Qin
Faisal Masood Faisal Masood
Author Profile Icon Faisal Masood
Faisal Masood
+2 more Show less
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Toc

Table of Contents (20) Chapters Close

Preface
1. Introduction to Kubernetes and Containers 2. An Overview of Kubernetes FREE CHAPTER 3. kubectl – Kubernetes Command Center 4. How to Communicate with Kubernetes (API Server) 5. Pods 6. Labels and Annotations 7. Kubernetes Controllers 8. Service Discovery 9. Storing and Reading Data on Disk 10. ConfigMaps and Secrets 11. Build Your Own HA Cluster 12. Your Application and HA 13. Runtime and Network Security in Kubernetes 14. Running Stateful Components in Kubernetes 15. Monitoring and Autoscaling in Kubernetes 16. Kubernetes Admission Controllers 17. Advanced Scheduling in Kubernetes 18. Upgrading Your Cluster without Downtime 19. Custom Resource Definitions in Kubernetes

Summary

Over the course of this chapter, we have applied our skills to be able to leverage StatefulSets in our example application. We have looked at how to think about running stateful portions of our software programmatically and how to refactor applications to leverage that change in state persistence. Finally, we learned how to create and run Kubernetes StatefulSets that will allow us to run stateful components in our cluster and make guarantees about how that workload will be run.

Being equipped with the skills needed to manage stateful components on our Kubernetes cluster is a major step in being able to operate effectively in many real-world applications that you are likely to come across.

In the next chapter, we're going to talk more about data-driven application orchestration with the use of Metrics Server, HorizontalPodAutoscalers, and ClusterAutoscaler. We will learn how these objects help us respond to varying levels of demand on our application running on a...

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