AWS Lambda with Redis, Terraform, Node.js, and TypeScript

This repository contains an AWS Lambda example demonstrating rate limiting implemented with Redis, Node.js, and TypeScript.

The application enforces a Time Limit based on the companyId provided in the request. It offers two distinct plan types: a free plan and a paid plan, each with its own monthly usage quotas.

Development

Prerequisites

Before you begin, ensure that you have the following prerequisites installed:

• Node.js
• Yarn
• Docker (required for running Redis locally)

Getting Started

1. Install project dependencies:

  yarn install

2. Start a local Redis instance (requires Docker):

  yarn start-local-redis

3. Run the development server:

  yarn dev

• The Lambda function will listen for POST requests locally at http://localhost:300/lambda.

Deploy AWS Lambda from your Local Machine

To deploy the Lambda function from your local machine, follow these steps:

• rename env to .env and add your redis database url
• Install the AWS CLI and Terraform CLI on your local machine.
• Create an AWS account and generate AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.
• Configure your AWS credentials with aws configure
• Initialize Terraform:

  Terraform init

• Build and deploy the Lambda function:

  sh build.sh

Continuous Delivery (CD)

Automate the deployment of your Lambda function using GitHub Actions. The deployment workflow is defined in the .github/workflows/main.yaml file.

Setup

To set up Continuous Delivery (CD) using GitHub Actions:

• Install the AWS CLI and Terraform CLI on your local machine.
• Create an AWS account and generate AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.
• Configure your AWS credentials with aws configure
• Create an S3 bucket to store Terraform state using the provided script, createBucket.sh.
• Add the following secrets to your GitHub Actions repository:
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • REDIS_DB_PATH
• The main.yaml workflow will automatically trigger with every new push to the main branch.