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Implementing DevOps on AWS

You're reading from   Implementing DevOps on AWS Engineering DevOps for modern businesses

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786460141
Length 258 pages
Edition 1st Edition
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Author (1):
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Vaselin Kantsev Vaselin Kantsev
Author Profile Icon Vaselin Kantsev
Vaselin Kantsev
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Toc

Table of Contents (11) Chapters Close

Preface 1. What is DevOps and Should You Care? FREE CHAPTER 2. Start Treating Your Infrastructure as Code 3. Bringing Your Infrastructure Under Configuration Management 4. Build, Test, and Release Faster with Continuous Integration 5. Ever-Ready to Deploy Using Continuous Delivery 6. Continuous Deployment - A Fully Automated Workflow 7. Metrics, Log Collection, and Monitoring 8. Optimize for Scale and Cost 9. Secure Your AWS Environment 10. AWS Tips and Tricks

Configuring Jenkins jobs


Prior to recreating the Continuous Integration pipeline job, we need a S3 bucket for our YUM repository. Create a bucket (unless you've kept the old one around), update the demo-app/Jenkinsfile script accordingly then commit and push Git changes upstream.

demo-app pipeline

Refer to the Setting up the pipeline steps from the previous chapter to create the Continuous Integration job. Let us call it demo-app this time around. The script path remains the same (https://git-codecommit.us-east-1.amazonaws.com/v1/repos/demo-app).

You should now have this:

The pipeline is going to fail as we do not have our YUM repository configured yet:

The repository contents have already been uploaded to S3 by this first job run. Now we need to update the salt/states/yum-s3/files/s3.repo file with the S3 URL and set the repository to enabled. Commit and push the Salt changes to the Git repository, then pull and apply on the Jenkins node.

A subsequent pipeline run takes us a step further...

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