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https://github.com/hashicorp/learn-terraform-aft-account-customizations


https://github.com/hashicorp/learn-terraform-aft-account-customizations

aws hashicorp terraform tutorial

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README 

        
# Learn Terraform - Use Control Tower Account Factory for Terraform



This is a companion repository for the Hashicorp [Provision and Manage Accounts with

Control Tower Account Factory for Terraform

tutorial](https://developer.hashicorp.com/terraform/tutorials/aws/aws-control-tower-aft).



This repository contains boilerplate configuration for defining account

customizations to use with the Account Factory for Terraform

module. The README below and the template files in this repository were

provided by AWS.



To create your account customizations, replicate this repository

and extend the Terraform configuration.



## Introduction

This repo stores the Terraform and API helpers for the Account Customizations.

Account Customizations are used to customize all provisioned accounts with

customer defined resources. The resources can be created through Terraform or

through Python, leveraging the API helpers. The customization run is

parameterized at runtime.



## Usage

To create an account specific baseline, copy the ACCOUNT_TEMPLATE folder into a

new folder. The new folder name should be the account ID you wish to baseline.



## Usage

To leverage Account Customizations, start by copying the ACCOUNT_TEMPLATE

folder into a new folder. The new folder name should match the

```account_customizations_name``` provided in the account request for the

accounts you would like to baseline. Then, populate the target folder as per

the instructions below.



### Terraform



AFT provides Jinja templates for Terraform backend and providers. These render

at the time Terraform is applied. If needed, additional providers can be

defined by creating a providers.tf file.



To create Terraform resources, provide your own Terraform files (ex. main.tf,

variables.tf, etc) with the resources you would like to create, placing them in

the 'terraform' directory.



### API Helpers



The purpose of API helpers is to perform actions that cannot be performed

within Terraform.



#### Python



The api_helpers/python folder contains a requirements.txt, where you can

specify libraries/packages to be installed via PIP.



#### Bash



This is where you define what runs before/after Terraform, as well as the order

the Python scripts execute, along with any command line parameters. These bash

scripts can be extended to perform other actions, such as leveraging the AWS

CLI or performing additional/custom Bash scripting.



- pre-api-helpers.sh - Actions to execute prior to running Terraform.

- post-api-helpers.sh - Actions to execute after running Terraform.



#### Sample api-helpers.sh



Sample #1 - Using AWS CLI to query for resources, save to a variable, and then

pass to a script. In the example below, all running instances are queried,

stopped, and started using AWS CLI and custom Python scritpts.



```

instances=$(aws ec2 describe-instances --filters "Name=instance-state-name,Values=running")

python ./python/source/stop_instances.py --instances $instances

sleep 10s

python ./python/source/start_instances.py --instances $instances

```



Sample #2 - Query a 3rd party IPAM solution, and save the given CIDR to AWS

Parameter Store. This SSM parameter could be leveraged from Terraform using a

data object to create a VPC.



```

account = $(aws sts get-caller-identity --query Account --output text)

region = $(aws ec2 describe-availability-zones --query 'AvailabilityZones[0].[RegionName]' --output text)

cidr = $(python ./python/source/get_cidr_range.py)

aws ssm put-parameter --name /$account/$region/vpc/cidr --value $cidr

```