This is a companion repository for the Provision and Manage Accounts with Control Tower Account Factory for Terraform tutorial tutorial on HashiCorp Learn.
This repository contains boilerplate configuration for defining account provisioning 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 own state machine and step functions, replicate this repository and extend the Terraform configuration.
AFT provides flexibility to customize the provisioning process for new accounts and integrate with systems prior to the account customization stage.
While the customization stage does include integrations for pre- and post- customization steps, the Account Provisioning standard allows for further integration by using an AWS Step Functions State Machine to integrate with additional environments.
Using this state machine integration, customers may define Account Provisioning Customizations steps as:
- Lambda functions in the language of their choice
- ECS or Fargate Tasks using docker containers
- AWS Step Functions Activities using custom workers, hosted either in AWS or on-prem
- Amazon SNS or SQS integrations to decoupled consumer-based applications
{
"account_request": {
"supported_regions": "",
"account_tags": {
"Key": "Value",
},
"custom_fields": "{}",
"id": "Account Email",
"control_tower_parameters": {
"SSOUserEmail": "",
"AccountEmail": "",
"SSOUserFirstName": "",
"SSOUserLastName": "",
"ManagedOrganizationalUnit": "Sandbox",
"AccountName": "sandbox03"
},
"customer_baselines": [],
"operation": "create"
},
"control_tower_event": {},
"validated": {
"Success": true
},
"account_info": {
"account": {
"id": "",
"type": "account",
"email": "",
"name": "sandbox03",
"method": "CREATED",
"joined_date": "2021-06-15 13:57:35.129000+00:00",
"status": "ACTIVE",
"parent_id": "",
"parent_type": "ORGANIZATIONAL_UNIT",
"org_name": "Sandbox",
"vendor": "aws"
}
},
"persist_metadata": {
"StatusCode": 200
},
"role": {
"Arn": "arn:aws:iam:::role/AWSAFTExecution"
},
"account_tags": {
"StatusCode": 200
}
}
Source location: modules/account-provisioning-customizations/lambda/account-provisioning-customizations-validate-request/lambda_function.py
Compares the incoming payload to the state machine against an expected
jsonschema. Returns True
if valid, raises an exception if not.
Demonstrates the import of aft_common
and customers can explore the aft_utils
module for existing AFT integrations, such as role assumption or SSM parameter retrieval.
import json
import os
import boto3
import jsonschema
import aft_common.aft_utils as utils
from boto3.dynamodb.conditions import Key
logger = utils.get_logger()
def validate_request(payload, logger):
logger.info("Function Start - validate_request")
schema_path = os.path.join(os.path.dirname(__file__), "schema/request_schema.json")
with open(schema_path) as schema_file:
schema_object = json.load(schema_file)
logger.info("Schema Loaded:" + json.dumps(schema_object))
validated = jsonschema.validate(payload, schema_object)
if validated is None:
logger.info("Request Validated")
return True
else:
raise Exception("Failure validating request.\n{validated}")
def lambda_handler(event, context):
logger.info("Account Provisioning Customizations Handler Start")
payload = event['payload']
action = event['action']
if action == "validate":
request_validated = validate_request(payload, logger)
return request_validated
else:
raise BaseException(
"Incorrect Command Passed to Lambda Function. Input: {action}. Expected: 'validate'"
)