This repository serves as a Terraform sub-module designed for use with the AWS Static Hosting module. The primary purpose of this module is to deploy a set of Lambda@Edge functions that provide prerender integration for CloudFront. This enables faster page loading and improved search engine indexing for Single Page Applications (SPAs) and other dynamic web applications.

To use this module in your Terraform configuration, simply add the following code:

module "edge-functions" {
  source = "github.com/krishanthisera/aws-edge-functions.git"
}

After adding the module, run terraform init to initialize your configuration.

This module is built using the following technologies and tools:

• Terraform: Infrastructure as Code (IaC) tool used to manage AWS resources.
• TypeScript: Language used to write the Lambda@Edge functions.
• turbo-repo: A tool used for repository management and monorepo setups.
• esbuild: Used to bundle the TypeScript code and set environment variables during the build process.

To use this repository as a Terraform module, you can refer to the example provided in the AWS Static Hosting repository. It showcases how to integrate this module to enable prerendering with CloudFront.

The deployed Lambda@Edge functions work in conjunction with CloudFront to perform prerendering. This means that when a request is made to CloudFront for a page of your SPA (from a crawler), the Lambda@Edge functions will leverage prerender service to generate a prerendered version of the page and serve it to the user. This leads to improved page loading times and better SEO performance.

As you are not able to set environment variables at runtime for the Lambda@Edge functions, during the build process, esbuild is used to configure the necessary environment variables and bundle them into the build artifacts.

Contributions to this project are welcome! If you have any bug reports, feature requests, or improvements to suggest, you can do so by creating a pull request or opening an issue. Your feedback is highly valuable to us, and we appreciate any contributions made to enhance this module.

If you have any questions or need further assistance, you can contact the project maintainer by creating an issue in this repository.