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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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Toc

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

Application autoscaling


A recent feature addition to Kubernetes is that of the Horizontal Pod Autoscaler. This resource type is really useful as it gives us a way to automatically set thresholds for scaling our application. Currently, that support is only for CPU, but there is alpha support for custom application metrics as well. 

Let's use the node-js-scale Replication Controller from the beginning of the chapter and add an autoscaling component. Before we start, let's make sure we are scaled back down to one replica using the following command:

$ kubectl scale --replicas=1 rc/node-js-scale

Now we can create a Horizontal Pod Autoscaler with the following hpa definition:

apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
  name: node-js-scale
spec:
  minReplicas: 1
  maxReplicas: 3
  scaleTargetRef:
    apiVersion: v1
    kind: ReplicationController
    name: node-js-scale
  targetCPUUtilizationPercentage: 20

Listing 4-6. node-js-scale-hpa.yaml

Go ahead and create this with the...

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