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Kubernetes on AWS

You're reading from   Kubernetes on AWS Deploy and manage production-ready Kubernetes clusters on AWS

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788390071
Length 270 pages
Edition 1st Edition
Tools
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Author (1):
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Ed Robinson Ed Robinson
Author Profile Icon Ed Robinson
Ed Robinson
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Table of Contents (12) Chapters Close

Preface 1. Google's Infrastructure for the Rest of Us FREE CHAPTER 2. Start Your Engines 3. Reach for the Cloud 4. Managing Change in Your Applications 5. Managing Complex Applications with Helm 6. Planning for Production 7. A Production-Ready Cluster 8. Sorry My App Ate the Cluster 9. Storing State 10. Managing Container Images 11. Other Books You May Enjoy

Jobs

The simplest use case for a job is to launch a single pod and ensure that it successfully runs to completion.

In our next example, we are going to use the Ruby programming language to compute and print out the first 100 Fibonacci numbers:

fib.yaml
apiVersion: batch/v1
kind: Job
metadata:
name: fib
spec:
template:
metadata:
name: fib
spec:
containers:
- name: fib
image: ruby:alpine
command: ["ruby"]
args:
- -e
- |
a,b = 0,1
100.times { puts b = (a = a+b) - b }
restartPolicy: Never

Notice that the contents of spec and template are very similar to the specification we used to launch a pod directly. When we define a pod template for use in a job, we need to choose a restartPolicy of Never or OnFailure.

The reason for this is that the end goal of a job is to run the pod until it...

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