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Mastering Kubernetes

You're reading from   Mastering Kubernetes Level up your container orchestration skills with Kubernetes to build, run, secure, and observe large-scale distributed apps

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781839211256
Length 642 pages
Edition 3rd 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 (19) Chapters Close

Preface 1. Understanding Kubernetes Architecture 2. Creating Kubernetes Clusters FREE CHAPTER 3. High Availability and Reliability 4. Securing Kubernetes 5. Using Kubernetes Resources in Practice 6. Managing Storage 7. Running Stateful Applications with Kubernetes 8. Deploying and Updating Applications 9. Packaging Applications 10. Exploring Advanced Networking 11. Running Kubernetes on Multiple Clouds and Cluster Federation 12. Serverless Computing on Kubernetes 13. Monitoring Kubernetes Clusters 14. Utilizing Service Meshes 15. Extending Kubernetes 16. The Future of Kubernetes 17. Other Books You May Enjoy
18. 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:

Figure 8.1: HPA interacting with pods

As you can see, the horizontal pod autoscaler (HPA) 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...

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