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Mastering Kubernetes

You're reading from   Mastering Kubernetes Large scale container deployment and management

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786461001
Length 426 pages
Edition 1st Edition
Tools
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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 Index

Performing rolling updates with autoscaling


Rolling updates are the cornerstone of managing large clusters. Kubernetes support rolling updates at the replication controller level and by using deployments. Rolling updates using replication controllers are incompatible with the horizontal pod autoscaler. The reason is that, during the rolling deployment, a new replication controller is created and the horizontal pod autoscaler 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 horizontal pod autoscalers to a deployment object instead of a replication controller or a replica set. When the horizontal pod autoscaler 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...

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