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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
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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

The Kubernetes Scheduler

As mentioned in the introduction, a typical cluster has several nodes. When you create a Pod, Kubernetes has to choose a node and assign the Pod to it. This process is known as Pod scheduling.

The Kubernetes component that is responsible for deciding which node a Pod should be assigned to for execution is called a scheduler. Kubernetes comes with a default scheduler that suffices for most use cases. For example, the default Kubernetes Scheduler spreads the load evenly in the cluster.

Now, consider a scenario in which two different Pods are expected to communicate with each other very often. As a system architect, you may want them to be on the same node to reduce latency and free up some internal networking bandwidth. The Scheduler does not know the relationship between different types of Pods, but Kubernetes provides ways to inform the Scheduler about this relationship and influence the scheduling behavior so that these two different Pods can be hosted...

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