Learn how to securely retrieve values from AWS Parameter Store and use them in your Terraform resources to manage sensitive data effectively.
In Terraform, you can leverage AWS Systems Manager (SSM) Parameter Store to store and manage configuration values, such as AMI IDs. This approach promotes reusability and dynamic infrastructure provisioning. Here's how to fetch and utilize parameter values in your Terraform code.
Define a data source to fetch the parameter value:
data "aws_ssm_parameter" "ami_id" {
name = "/my-app/latest-ami-id"
}
Replace /my-app/latest-ami-id
with the actual parameter name.
Access the parameter value:
The value of the parameter is available in data.aws_ssm_parameter.ami_id.value
.
Use the value in a resource:
resource "aws_instance" "example" {
ami = data.aws_ssm_parameter.ami_id.value
# ... other instance configurations
}
This example shows how to use the AMI ID retrieved from Parameter Store when creating an EC2 instance.
Important Notes:
data.aws_ssm_parameter.ami_id.value
directly in the resource configuration. Avoid storing SecureString values in variables or outputs.try()
function to handle this gracefully.This Terraform code defines an AWS EC2 instance using an AMI ID fetched from AWS Systems Manager Parameter Store. It uses a data source to retrieve the parameter value and then references it when defining the instance's AMI. The code assumes the parameter name is "/my-app/latest-ami-id" and uses a placeholder for the key pair name.
This example demonstrates how to fetch the latest AMI ID from AWS Systems Manager Parameter Store and use it to create an EC2 instance.
# Configure the AWS Provider
terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 4.0"
}
}
}
# Define a data source to fetch the AMI ID from Parameter Store
data "aws_ssm_parameter" "ami_id" {
name = "/my-app/latest-ami-id"
}
# Create an EC2 instance using the AMI ID from Parameter Store
resource "aws_instance" "example" {
ami = data.aws_ssm_parameter.ami_id.value
instance_type = "t2.micro"
# Replace with your desired key pair name
key_name = "your-key-pair-name"
tags = {
Name = "Example EC2 Instance"
}
}
Explanation:
data "aws_ssm_parameter" "ami_id"
block defines a data source that fetches the value of the parameter named /my-app/latest-ami-id
from Parameter Store.data.aws_ssm_parameter.ami_id.value
expression retrieves the actual AMI ID stored in the parameter.ami
attribute of the aws_instance
resource is set to the retrieved AMI ID, ensuring the instance is launched with the desired image.Important Considerations:
/my-app/latest-ami-id
) and key pair name (your-key-pair-name
) with your actual values.data.aws_ssm_parameter.ami_id.value
directly in the resource configuration without storing it in a variable.try()
function to handle scenarios where the parameter might not exist.This example provides a basic framework for leveraging SSM Parameter Store to manage dynamic values within your Terraform code. You can adapt this approach to retrieve various configuration parameters and use them across your infrastructure deployments.
/
in the parameter name (/my-app/latest-ami-id
) denotes a hierarchical structure in Parameter Store. This allows you to organize parameters logically.String
, SSM Parameter Store supports other data types like StringList
and SecureString
. Choose the appropriate type based on your data.terraform refresh
to update the state.This article explains how to fetch and use values stored in AWS Systems Manager (SSM) Parameter Store within your Terraform configurations.
Steps:
data "aws_ssm_parameter"
resource to fetch the desired parameter from SSM. Specify the parameter name using the name
attribute.data.<data_source_name>.<parameter_name>.value
attribute.Key Points:
try()
function to gracefully manage scenarios where the parameter might not exist.By leveraging AWS SSM Parameter Store, you can effectively manage and retrieve configuration values within your Terraform projects. This approach promotes dynamic infrastructure provisioning, enhances security by separating sensitive data from your codebase, and improves code maintainability. Remember to handle SecureStrings appropriately, implement error handling, and consider dedicated secret management tools for enhanced security practices. By incorporating these best practices, you can streamline your infrastructure deployments and enhance the overall robustness of your Terraform code.