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The Kubernetes Workshop

You're reading from  The Kubernetes Workshop

Product type Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781838820756
Pages 780 pages
Edition 1st Edition
Languages
Authors (6):
Zachary Arnold Zachary Arnold
Profile icon Zachary Arnold
Sahil Dua Sahil Dua
Profile icon Sahil Dua
Wei Huang Wei Huang
Profile icon Wei Huang
Faisal Masood Faisal Masood
Profile icon Faisal Masood
Mélony Qin Mélony Qin
Profile icon Mélony Qin
Mohammed Abu Taleb Mohammed Abu Taleb
Profile icon Mohammed Abu Taleb
View More author details

Table of Contents (20) Chapters

Preface
1. Introduction to Kubernetes and Containers 2. An Overview of Kubernetes 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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