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The DevOps 2.3 Toolkit

You're reading from   The DevOps 2.3 Toolkit Kubernetes: Deploying and managing highly-available and fault-tolerant applications at scale

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789135503
Length 418 pages
Edition 1st Edition
Concepts
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Author (1):
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Viktor Farcic Viktor Farcic
Author Profile Icon Viktor Farcic
Viktor Farcic
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Table of Contents (18) Chapters Close

Preface 1. How Did We Get Here? FREE CHAPTER 2. Running Kubernetes Cluster Locally 3. Creating Pods 4. Scaling Pods With ReplicaSets 5. Using Services to Enable Communication between Pods 6. Deploying Releases with Zero-Downtime 7. Using Ingress to Forward Traffic 8. Using Volumes to Access Host's File System 9. Using ConfigMaps to Inject Configuration Files 10. Using Secrets to Hide Confidential Information 11. Dividing a Cluster into Namespaces 12. Securing Kubernetes Clusters 13. Managing Resources 14. Creating a Production-Ready Kubernetes Cluster 15. Persisting State 16. The End 17. Other Books You May Enjoy

Scaling Deployments

There are quite a few different ways we can scale Deployments. Everything we do in this section is not unique to Deployments and can be applied to any Controller, like ReplicaSet, and those we did not yet explore.

If we decide that the number of replicas changes with relatively low frequency or that Deployments are performed manually, the best way to scale is to write a new YAML file or, even better, modify the existing one. Assuming that we store YAML files in a code repository, by updating existing files we have a documented and reproducible definition of the objects running inside a cluster.

We already performed scaling when we applied the definition from the go-demo-2-scaled.yml. We'll do something similar, but with Deployments.

Let's take a look at deploy/go-demo-2-scaled.yml.

cat deploy/go-demo-2-scaled.yml  

We won't display the contents...

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