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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

The Kubernetes Scheduler is a powerful software that abstracts the work of selecting the appropriate node for a Pod on a cluster. The Scheduler watches for unscheduled Pods and attempts to find suitable nodes for them. Once it finds a suitable node for a Pod, it updates etcd (via the API server) that the Pod has been bound to the node.

The scheduler has matured with every release of Kubernetes. The default behavior of the scheduler is sufficient for a variety of workloads, although you have also seen many ways to customize the way that the Scheduler associates resources with Pods. You have seen how node affinity can help you schedule Pods on your desired nodes. Pod affinity can help you schedule a Pod relative to another Pod, and it is a good tool for applications where multiple modules are targeted to be placed next to each other. Taints and tolerations can also help you assign specific workloads to specific nodes. You have also seen that Pod priority can help you schedule...

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