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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

Jenkins pipelines

Earlier we have our Integration and Delivery pipelines chained together, taking code and producing and AMI artifact. Our next task is to design a third pipeline to take that AMI and deploy it into our production environment.

Before we can create the new job in Jenkins, we need to make the code for it available via Git:

We will examine the files in detail shortly, for now just create and populate a demo-app-cdeployment CodeCommit repository. Similar to our other repositories, the new one would have an URL such as https://git-codecommit.us-east-1.amazonaws.com/v1/repos/demo-app-cdeployment.

With that in hand, we proceed to create the pipeline:

Jenkins pipelines

It will need to take an AMI ID parameter (to be passed on from the Delivery job):

Jenkins pipelines

Then of course, it needs the Jenkinsfile location (https://git-codecommit.us-east-1.amazonaws.com/v1/repos...

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