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Getting Started with Kubernetes, Second Edition

You're reading from   Getting Started with Kubernetes, Second Edition Orchestrate and manage large-scale Docker deployments

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787283367
Length 286 pages
Edition 2nd Edition
Tools
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Author (1):
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Jonathan Baier Jonathan Baier
Author Profile Icon Jonathan Baier
Jonathan Baier
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Kubernetes FREE CHAPTER 2. Pods, Services, Replication Controllers, and Labels 3. Networking, Load Balancers, and Ingress 4. Updates, Gradual Rollouts, and Autoscaling 5. Deployments, Jobs, and DaemonSets 6. Storage and Running Stateful Applications 7. Continuous Delivery 8. Monitoring and Logging 9. Cluster Federation 10. Container Security 11. Extending Kubernetes with OCP, CoreOS, and Tectonic 12. Towards Production Ready

Scaling up


Over time, as you run your applications in the Kubernetes cluster, you will find that some applications need more resources, whereas others can manage with fewer resources. Instead of removing the entire RC (and associated pods), we want a more seamless way to scale our application up and down.

Thankfully, Kubernetes includes a scale command, which is suited specifically for this purpose. The scale command works both with Replication Controllers and the new Deployments abstraction. For now, we will explore the usage with Replication Controllers. In our new example, we have only one replica running. You can check this with a get pods command:

$ kubectl get pods -l name=node-js-scale

Let's try scaling that up to three with the following command:

$ kubectl scale --replicas=3 rc/node-js-scale

If all goes well, you'll simply see the scaled word on the output of your terminal window.

Note

Optionally, you can specify the --current-replicas flag as a verification step. The scaling will only...

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