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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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Toc

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

Defining container memory and CPU resources

So far, we did not specify how much memory and CPU containers should use, nor what their limits should be. If we do that, Kubernetes' scheduler will have a much better idea about the needs of those containers, and it'll make much better decisions on which nodes to place the Pods and what to do if they start "misbehaving".

Let's take a look at a modified go-demo-2 definition:

cat res/go-demo-2-random.yml  

The specification is almost the same as those we used before. The only new entries are in the resources section.

The output, limited to the relevant parts, is as follows:

... 
apiVersion: apps/v1beta2 
kind: Deployment 
metadata: 
  name: go-demo-2-db 
spec: 
  ... 
  template: 
    ... 
    spec: 
      containers: 
      - name: db 
        image: mongo:3.3 
        resources: 
          limits: 
        ...
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