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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

Pod Priority

Kubernetes allows you to associate a priority with a Pod. If there are resource constraints, if a new Pod with high priority is requested to be scheduled, the Kubernetes scheduler may evict the Pods with lower priority in order to make room for the new high-priority Pod.

Consider an example where you are a cluster administrator and you run both critical and non-critical workloads in the cluster. An example is a Kubernetes cluster for a bank. In this case, you would have a payment service as well as the bank's website. You may decide that processing payments are of higher importance than running the website. By configuring Pod priority, you can prevent lower-priority workloads from impacting critical workloads in your cluster, especially in cases where the cluster starts to reach its resource capacity. This technique of evicting lower-priority Pods to schedule more critical Pods could be faster than adding additional nodes and would help you better manage traffic...

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