Prisma as a Layer in AWS Lambda using AWS SAM

Overview

This project demonstrates how to use Prisma as a layer in AWS Lambda with AWS Serverless Application Model (SAM). By leveraging AWS Lambda Layers, we can optimize function deployment, reduce package size, and ensure a consistent Prisma ORM setup across multiple functions.

Project Setup

Prerequisites

• AWS Account
• AWS CLI configured
• AWS SAM installed
• Node.js 18+ installed (recommended: use .nvmrc with 18)
• Yarn (preferred package manager)

Folder Structure

| prisma-lambda-layer
|- layers/  # Contains the Prisma layer
|- scripts/  # Deployment and setup scripts
|- src/  # Lambda function handlers
|-- handlers/
|-- services/

Installing Dependencies

Add the necessary dependencies:

yarn add @prisma/client aws-lambda
yarn add --dev @types/aws-lambda @types/node prisma typescript

Prisma Configuration

Modify prisma/schema.prisma to support AWS Lambda:

generator client {
  provider      = "prisma-client-js"
  binaryTargets = ["native", "rhel-openssl-1.0.x", "linux-arm64-openssl-1.0.x"]
}

datasource db {
  provider = "postgresql"
  url      = env("DATABASE_URL")
}

Building and Deploying

Preparing the Prisma Layer

Execute the setup script to create the Prisma layer:

sh scripts/prisma-layer.sh

Deploying with AWS SAM

Run the following command to deploy:

sh scripts/deploy.sh

This will:

1. Install dependencies.
2. Generate the Prisma client.
3. Build the SAM project.
4. Deploy the stack to AWS.

Testing the API

Once deployed, test the API using Postman or cURL.

Create a Country (POST)

curl -X POST "<API_URL>/v1/countries" \
     -H "Content-Type: application/json" \
     -d '{"name": "Japan"}'

Get All Countries (GET)

curl -X GET "<API_URL>/v1/countries"

Get a Country by ID (GET)

curl -X GET "<API_URL>/v1/countries/1"

Cleaning up Resources

To remove all AWS resources, run:

sam delete --stack-name sample-api --profile codeanding

Next Steps

• Explore Terraform as an alternative to AWS SAM.
• Implement API Gateway authentication.
• Optimize cold start performance by tuning Lambda configurations.

License

This project is licensed under the MIT License.

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🚀 Happy coding!

If you find this useful, feel free to contribute or reach out for improvements.