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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

Preparing Jenkins code

Before we proceed with Jenkins, allow me to introduce the two new helpers – Packer and Serverspec.

Packer

As described:

 

"Packer is a tool for creating machine and container images for multiple platforms from a single source configuration."

 
 --https://www.packer.io

Essentially, Packer is going to, well, pack things for us. We will feed it a template, based on which it will launch an EC2 instance, perform requested tasks (over SSH), then create an AMI from it. Packer can talk to various platforms (AWS, GCE, OpenStack, and so on) to provision resources via local shell, remote (SSH), Salt, Ansible, Chef, and others. As a HashiCorp product, it does not come as a surprise that Packer uses a templating system very similar to Terraform's.

demo-app.json

Here, we define what and how it should be...

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