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Terraform and AWS Lambda

AWS Lambda is a serverless computing service that allows you to run your code without provisioning or managing servers. Terraform is a popular tool for infrastructure as code, which allows you to manage your infrastructure as code rather than using manual processes. In this article, we'll explore how to use Terraform to deploy and manage AWS Lambda functions.

Setting up AWS Credentials

Before you can start using Terraform to deploy Lambda functions, you'll need to set up your AWS credentials. You can do this by creating an access key and secret access key in the AWS Management Console. Once you have your access key and secret access key, you can set them up on your local machine by running the following command:

aws configure

Creating a Lambda Function with Terraform

To create a Lambda function with Terraform, you'll need to follow a few key steps:

1. Initialize a New Terraform Project

The first step is to initialize a new Terraform project. You can do this by creating a new directory for your project and running the following command:

terraform init

This will initialize your Terraform project and download any necessary providers.

2. Define Your Lambda Function Configuration

Next, you'll need to define the configuration for your Lambda function. Here's an example configuration that creates a Lambda function that logs a message to CloudWatch:

provider "aws" {
  region = "us-east-1"

resource "aws_lambda_function" "example_lambda" {
  function_name    = "example_lambda"
  role             = aws_iam_role.example_lambda.arn
  handler          = "example_lambda.handler"
  runtime          = "nodejs12.x"
  filename         = ""
  source_code_hash = filebase64sha256("")
  timeout          = 10
  memory_size      = 128

resource "aws_iam_role" "example_lambda" {
  name = "example_lambda_role"

  assume_role_policy = jsonencode({
    Version = "2012-10-17"
    Statement = [
        Effect = "Allow"
        Principal = {
          Service = ""
        Action = "sts:AssumeRole"

In this example, we're using the aws_lambda_function resource to create a Lambda function. We're also specifying the AWS region, function name, IAM role, runtime, filename, timeout, and memory size in the resource block.

3. Deploy Your Lambda Function

Once you've defined your Lambda function configuration, you can deploy your function by running the following commands:

terraform apply

This will create your Lambda function and any necessary resources.

4. Updating and Destroying Your Lambda Function

If you need to update your Lambda function, you can simply update your Terraform configuration and apply the changes using the terraform apply command. If you need to destroy your Lambda function, you can use the terraform destroy command.


In conclusion, using Terraform to deploy and manage AWS Lambda functions can be a powerful tool in your infrastructure management arsenal. By defining your Lambda functions as code and leveraging Terraform's infrastructure-as-code paradigm, you can automate the deployment and management of your Lambda functions and maintain consistency across your infrastructure.

Terraform simplifies the process of deploying and managing AWS Lambda functions by allowing you to define your infrastructure in code, version control it, and automate its deployment. You can easily manage and scale your Lambda functions with Terraform, and roll out updates in a controlled, automated way. Additionally, the use of Terraform allows for collaboration across teams, as the code is easily shared and version controlled.

Overall, Terraform is an excellent tool for managing and deploying AWS Lambda functions, and with its robust set of features, it can help you streamline your infrastructure management process and bring greater efficiency and consistency to your deployment pipeline.

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