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Cloud Native with Kubernetes

You're reading from   Cloud Native with Kubernetes Deploy, configure, and run modern cloud native applications on Kubernetes

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Product type Paperback
Published in Jan 2021
Publisher Packt
ISBN-13 9781838823078
Length 446 pages
Edition 1st Edition
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Author (1):
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Alexander Raul Alexander Raul
Author Profile Icon Alexander Raul
Alexander Raul
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Setting Up Kubernetes
2. Chapter 1: Communicating with Kubernetes FREE CHAPTER 3. Chapter 2: Setting Up Your Kubernetes Cluster 4. Chapter 3: Running Application Containers on Kubernetes 5. Section 2: Configuring and Deploying Applications on Kubernetes
6. Chapter 4: Scaling and Deploying Your Application 7. Chapter 5: Services and Ingress – Communicating with the Outside World 8. Chapter 6: Kubernetes Application Configuration 9. Chapter 7: Storage on Kubernetes 10. Chapter 8: Pod Placement Controls 11. Section 3: Running Kubernetes in Production
12. Chapter 9: Observability on Kubernetes 13. Chapter 10: Troubleshooting Kubernetes 14. Chapter 11: Template Code Generation and CI/CD on Kubernetes 15. Chapter 12: Kubernetes Security and Compliance 16. Section 4: Extending Kubernetes
17. Chapter 13: Extending Kubernetes with CRDs 18. Chapter 14: Service Meshes and Serverless 19. Chapter 15: Stateful Workloads on Kubernetes 20. Assessments 21. Other Books You May Enjoy

Chapter 8 – Pod Placement Controls

  1. Node Selectors can be used to match against Node labels and multiple Nodes can fulfill the requirements. Using a Node name means that you specify the single Node where the Pod must be placed.
  2. Kubernetes implements some default taints to ensure that Pods do not get scheduled on Nodes that are malfunctioning or lack resources. In addition, Kubernetes taints the master Nodes to prevent scheduling of user applications on the masters.
  3. Too many affinities and anti-affinities can slow down the scheduler or cause it to become unresponsive. Determining Pod placement in cases with a lot of affinities or anti-affinities is very compute-heavy.
  4. Using anti-affinities, you could prevent Pods from co-existing with like Pods in the same failure domain. Nodes in the same failure domain would be labeled with a failure domain or zone identifier. Anti-affinity would look for Pods matching the specific tier of the application level in the same failure...
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