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Mastering Kubernetes

You're reading from   Mastering Kubernetes Master the art of container management by using the power of Kubernetes

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Product type Paperback
Published in Apr 2018
Publisher
ISBN-13 9781788999786
Length 468 pages
Edition 2nd Edition
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Author (1):
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Gigi Sayfan Gigi Sayfan
Author Profile Icon Gigi Sayfan
Gigi Sayfan
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Table of Contents (16) Chapters Close

Preface 1. Understanding Kubernetes Architecture FREE CHAPTER 2. Creating Kubernetes Clusters 3. Monitoring, Logging, and Troubleshooting 4. High Availability and Reliability 5. Configuring Kubernetes Security, Limits, and Accounts 6. Using Critical Kubernetes Resources 7. Handling Kubernetes Storage 8. Running Stateful Applications with Kubernetes 9. Rolling Updates, Scalability, and Quotas 10. Advanced Kubernetes Networking 11. Running Kubernetes on Multiple Clouds and Cluster Federation 12. Customizing Kubernetes – API and Plugins 13. Handling the Kubernetes Package Manager 14. The Future of Kubernetes 15. Other Books You May Enjoy

Detecting node problems

In Kubernetes' conceptual model, the unit of work is the pod. However, pods are scheduled on nodes. When it comes to monitoring and reliability, the nodes are what require the most attention, because Kubernetes itself (the scheduler and replication controllers) takes care of the pods. Nodes can suffer from a variety of problems that Kubernetes is unaware of. As a result, it will keep scheduling pods to the bad nodes and the pods might fail to function properly. Here are some of the problems that nodes may suffer while still appearing functional:

  • Bad CPU
  • Bad memory
  • Bad disk
  • Kernel deadlock
  • Corrupt filesystem
  • Problems with the Docker daemon

The kubelet and cAdvisor don't detect these issues, another solution is needed. Enter the node problem detector.

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