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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

Performing rolling updates with autoscaling

Rolling updates are the cornerstone of managing large clusters. Kubernetes supports rolling updates at the replication controller level and by using deployments. Rolling updates using replication controllers are incompatible with the HPA. The reason is that during a rolling deployment, a new replication controller is created and the HPA remains bound to the old replication controller. Unfortunately, the intuitive Kubectl rolling-update command triggers a replication controller rolling update.

Since rolling updates are such an important capability, I recommend that you always bind HPAs to a deployment object instead of a replication controller or a replica set. When the HPA is bound to a deployment, it can set the replicas in the deployment spec and let the deployment take care of the necessary underlying rolling update and replication.

Here is a deployment configuration file we've used for deploying the hue-reminders service...

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