Building a Serverless Application on AWS Using Terraform
In the ever-evolving landscape of cloud computing, serverless architecture has emerged as a game-changer for developers. It allows you to build and run applications without the hassle of managing servers. AWS (Amazon Web Services) is a leader in providing serverless solutions, and when combined with Terraform, a powerful Infrastructure as Code (IaC) tool, it becomes easier than ever to automate the deployment and management of your cloud resources. In this article, we’ll explore how to build a serverless application on AWS using Terraform, complete with code examples and actionable insights.
What is Serverless Computing?
Serverless computing allows developers to focus solely on writing code without worrying about the underlying infrastructure. With serverless architecture, you only pay for what you use, which can lead to significant cost savings. AWS Lambda, API Gateway, and DynamoDB are some of the core services in AWS that enable serverless applications.
Key Benefits of Serverless Computing
- Cost Efficiency: Pay-per-use pricing can reduce costs significantly.
- Scalability: Automatically scale with demand without manual intervention.
- Reduced Operational Overhead: No need to manage servers or infrastructure.
- Faster Time to Market: Focus on writing code and deploying features quickly.
What is Terraform?
Terraform is an open-source tool that allows you to define your cloud infrastructure using a high-level configuration language. It enables you to create, manage, and version your infrastructure in a safe and repeatable manner. With Terraform, you can easily provision AWS resources for your serverless application.
Key Benefits of Using Terraform
- Infrastructure as Code: Manage your infrastructure through code, enabling version control and collaboration.
- Multi-Cloud Support: Easily manage resources across multiple cloud providers.
- State Management: Terraform keeps track of your infrastructure state, making it easy to update and manage.
Use Case: Building a Serverless Web Application
Let’s build a simple serverless web application that utilizes AWS Lambda to handle requests and DynamoDB for data storage. We will use Terraform to provision the necessary AWS resources.
Step 1: Set Up Your Environment
Before diving into the code, ensure you have the following installed:
- Terraform: Download and install Terraform from the official website.
- AWS CLI: Install the AWS CLI and configure it with your AWS credentials using
aws configure
.
Step 2: Create Your Terraform Configuration File
Create a new directory for your project and navigate into it. Create a file named main.tf
:
provider "aws" {
region = "us-east-1"
}
resource "aws_dynamodb_table" "my_table" {
name = "MyTable"
billing_mode = "PAY_PER_REQUEST"
attribute {
name = "id"
type = "S"
}
hash_key = "id"
}
resource "aws_lambda_function" "my_function" {
filename = "function.zip"
function_name = "my_lambda_function"
role = aws_iam_role.lambda_role.arn
handler = "index.handler"
runtime = "nodejs14.x"
source_code_hash = filebase64sha256("function.zip")
}
resource "aws_iam_role" "lambda_role" {
name = "lambda_role"
assume_role_policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Action = "sts:AssumeRole"
Principal = {
Service = "lambda.amazonaws.com"
}
Effect = "Allow"
Sid = ""
},
]
})
}
resource "aws_lambda_permission" "allow_api_gateway" {
statement_id = "AllowAPIGateway"
action = "lambda:InvokeFunction"
function_name = aws_lambda_function.my_function.function_name
principal = "apigateway.amazonaws.com"
}
Step 3: Create Your Lambda Function
In the same directory, create a simple Node.js application. Create a file named index.js
:
exports.handler = async (event) => {
const response = {
statusCode: 200,
body: JSON.stringify('Hello from Lambda!'),
};
return response;
};
Now zip this file:
zip function.zip index.js
Step 4: Deploy Your Infrastructure
With your Lambda function and DynamoDB table defined, it’s time to deploy your infrastructure. Run the following commands in your terminal:
- Initialize Terraform:
bash
terraform init
- Plan Your Deployment:
bash
terraform plan
- Apply Your Configuration:
bash
terraform apply
Step 5: Create an API Gateway
To expose your Lambda function via HTTP, you’ll need to create an API Gateway. Add the following to your main.tf
:
resource "aws_api_gateway_rest_api" "my_api" {
name = "MyAPI"
description = "My Serverless API"
}
resource "aws_api_gateway_resource" "my_resource" {
rest_api_id = aws_api_gateway_rest_api.my_api.id
parent_id = aws_api_gateway_rest_api.my_api.root_resource_id
path_part = "hello"
}
resource "aws_api_gateway_method" "my_method" {
rest_api_id = aws_api_gateway_rest_api.my_api.id
resource_id = aws_api_gateway_resource.my_resource.id
http_method = "GET"
authorization = "NONE"
}
resource "aws_api_gateway_integration" "my_integration" {
rest_api_id = aws_api_gateway_rest_api.my_api.id
resource_id = aws_api_gateway_resource.my_resource.id
http_method = aws_api_gateway_method.my_method.http_method
integration_http_method = "POST"
type = "AWS_PROXY"
uri = aws_lambda_function.my_function.invoke_arn
}
Run terraform apply
again to apply these changes.
Step 6: Test Your Serverless Application
Once the deployment is complete, you’ll receive an API endpoint URL. You can test your serverless application by sending a GET request to this URL, which should return "Hello from Lambda!" in the response.
Conclusion
Building a serverless application on AWS using Terraform streamlines the deployment process, allowing developers to focus on writing code rather than managing infrastructure. By leveraging AWS Lambda, DynamoDB, and API Gateway, you can create scalable, cost-effective applications with ease.
Key Takeaways
- Serverless Architecture: Focus on code, not servers.
- Terraform: Automate infrastructure management.
- AWS Services: Utilize Lambda, DynamoDB, and API Gateway for serverless applications.
With these tools and techniques, you’re well on your way to mastering the development of serverless applications on AWS. Happy coding!