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Mastering Kubernetes

You're reading from  Mastering Kubernetes

Product type Book
Published in May 2017
Publisher Packt
ISBN-13 9781786461001
Pages 426 pages
Edition 1st Edition
Languages
Author (1):
Gigi Sayfan Gigi Sayfan
Profile icon Gigi Sayfan
Toc

Table of Contents (22) Chapters close

Mastering Kubernetes
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Understanding Kubernetes Architecture 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 Index

Horizontal pod autoscaling


Kubernetes can watch over your pods and scale them when the CPU utilization or some other metric crosses a threshold. The autoscaling resource specifies the details (percentage of CPU, how often to check) and the corresponding autoscale controller adjusts the number of replicas, if needed.

The following diagram illustrates the different players and their relationships:

As you can see, the horizontal pod autoscaler doesn't create or destroy pods directly. It relies instead on the replication controller or deployment resources. This is very smart because you don't need to deal with situations where autoscaling conflicts with the replication controller or deployments trying to scale the number of pods, unaware of the autoscaler efforts.

The autoscaler automatically does what we had to do ourselves before. Without the autoscaler, if we had a replication controller with replicas set to 3, but we determined that based on average CPU utilization we actually needed 4, then...

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