Deploying Lambda Function Behind AWS Application Load Balancer with Terraform

This repository provides Terraform scripts and a Python Lambda function to deploy a Lambda function behind an AWS Application Load Balancer. The Lambda function sends requests to a Slack channel via a webhook. Follow the steps below to set up this infrastructure.

Prerequisites

Before you begin, ensure you have the following prerequisites:

• An AWS account with appropriate permissions to create Lambda functions, Application Load Balancers, and associated resources.
• Terraform installed on your local machine.
• AWS CLI configured with the necessary credentials.

Setup Instructions

1. Clone the repository to your local machine.

2. Modify the providers.tf file to configure your AWS provider.

3. Edit the vpc.tf file if needed to customize your AWS Virtual Private Cloud (VPC) settings.

4. Customize the Lambda function in lambda-demo.py as needed for your use case. This script is responsible for sending requests to the Slack channel via webhook.

5. Review and customize the alb.tf and lambda.tf files if necessary. You can adjust resource names, descriptions, and other settings as needed.

6. Run the following commands to initialize Terraform and create the infrastructure:

   terraform init
   terraform apply

   Confirm the changes when prompted.

Outputs

The output.tf file is configured to output the URL of the Application Load Balancer. This URL is where your Lambda function will be accessible.

Cleanup

Remember to run terraform destroy after you've finished using this infrastructure to avoid incurring unnecessary charges from AWS.