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Getting Started with Terraform

You're reading from   Getting Started with Terraform Infrastructure automation made easy

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786465108
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Kirill Shirinkin Kirill Shirinkin
Author Profile Icon Kirill Shirinkin
Kirill Shirinkin
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Table of Contents (9) Chapters Close

Preface 1. Infrastructure Automation FREE CHAPTER 2. Deploying First Server 3. Resource Dependencies and Modules 4. Storing and Supplying Configuration 5. Connecting with Other Tools 6. Scaling and Updating Infrastructure 7. Collaborative Infrastructure 8. Future of Terraform

Rolling out AMI upgrades with Terraform


Remember that we used data resource "aws_ami" to pull the latest AMI belonging to the AWS account configured in the template? At that moment, we didn't put much effort into it, blindly pulling any existing AMI , as long as it is the latest updated one:

data "aws_ami" "app-ami" { 
  most_recent = true 
  owners = ["self"] 
} 

With Packer building our AMIs, we can put a bit more effort into this resource. We need to make sure that it pulls the image that is suitable for this application. First, simplify Packer template: remove any variables and make sure that the "ami_name" key looks as simple as the following:

"ami_name": "centos-7-base-puppet-{{timestamp}}", 

Rebake the image and then modify Terraform application module to use the following image:

data "aws_ami" "app-ami" { 
  most_recent = true 
  owners = ["self"] 
  filter { 
    name = "name" 
    values = ["centos-7-base-puppet*"] 
  } 
...
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