Best Practices for Implementing API Gateway on AWS

Jennie Lee
5 min readApr 4, 2024

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Introduction to AWS Lambda and AWS SAM

AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS). It allows developers to run code without provisioning or managing servers. With Lambda, you can build applications that automatically scale in response to incoming requests or events. This serverless approach eliminates the need to worry about infrastructure management and enables developers to focus on writing code.

AWS SAM, or the Serverless Application Model, is an open-source framework that makes it easier to develop and deploy serverless applications on AWS. It extends AWS CloudFormation to provide a simplified way of defining serverless applications, such as AWS Lambda functions, API Gateway APIs, and Amazon DynamoDB tables. SAM templates are YAML or JSON files that describe the AWS resources required to run your application.

In this tutorial, we will explore how to deploy a Next.js application to AWS Lambda using AWS SAM. Next.js is a popular JavaScript framework that allows for the development of server-side rendered React applications. By leveraging AWS Lambda and SAM, we can easily deploy a Next.js application to the cloud and take advantage of the scalability and flexibility offered by serverless architectures.

Setting Up and Configuring the Next.js Application

To get started, we need to set up a Next.js application and configure it for deployment on Lambda.

  1. Create a new directory for your Next.js application:
  • mkdir next-app
  1. Install Next.js using the package manager of your choice:
  • npm install next
  1. Initialize AWS SAM in your project directory:
  • sam init --runtime nodejs12.x --name next-app --app-template hello-world
  1. Follow the instructions provided in the AWS SAM documentation to configure the specific details for your operating system. This will involve installing Docker and setting up your AWS credentials.

Configuring the Next.js Application for Deployment on AWS Lambda

Once the basic setup is complete, we can proceed to configure the Next.js application for deployment on AWS Lambda.

  1. Open the next.config.js file in your project directory.
  2. Add the following code to export the Next.js application as a standalone function:
  • module.exports = { target: 'serverless', }
  1. Create a file named start.js in your project directory.
  2. Add the following code to start the Node.js server for the Next.js application:
  • const { createServer } = require('http') const { parse } = require('url') const next = require('next') const app = next({ dev: process.env.NODE_ENV !== 'production' }) const handle = app.getRequestHandler() app.prepare().then(() => { createServer((req, res) => { const parsedUrl = parse(req.url, true) handle(req, res, parsedUrl) }).listen(3000, (err) => { if (err) throw err console.log('> Ready on http://localhost:3000') }) })

Configuring Docker Image for AWS Lambda

To deploy a Next.js application to AWS Lambda, we need to configure a Docker image that will be used by SAM for building and packaging the application.

  1. Create a Dockerfile in your project directory.
  2. Add the following instructions to the Dockerfile:
  • FROM amazon/aws-sam-cli-build-image-nodejs12.x COPY . /var/task CMD [ "start.js" ]
  1. The FROM statement specifies the base image to use for building the Docker image. In this case, we are using the amazon/aws-sam-cli-build-image-nodejs12.x image.
  2. The COPY statement copies the contents of the current directory to the /var/task directory in the Docker image.
  3. The CMD statement specifies the command to run when the Docker container starts. In this case, it runs the start.js script we created earlier.

Configuring the SAM Template for AWS Lambda and API Gateway

Now we can configure the SAM template to define the AWS Lambda function and configure the API Gateway for our Next.js application.

  1. Create a template.yaml file in your project directory.
  2. Add the following code to define the Lambda function in the template.yaml file:
  • AWSTemplateFormatVersion: '2010-09-09' Transform: AWS::Serverless-2016-10-31 Resources: NextAppFunction: Type: AWS::Serverless::Function Properties: CodeUri: . Handler: start.handler Runtime: nodejs12.x Events: ApiEvent: Type: Api Properties: Path: / Method: any
  1. The CodeUri property specifies the path to the code to be packaged and uploaded to Lambda. In this case, we are using the current directory (.) to include all the files in the Docker image.
  2. The Handler property specifies the entry point for the Lambda function. In this case, it is the start function defined in start.js.
  3. The Runtime property specifies the version of Node.js to use for the Lambda function.
  4. The Events section configures the API Gateway for the application. In this case, we are routing all HTTP methods to the Lambda function.

Building and Deploying the SAM Application

With the configuration complete, we can now build and deploy the SAM application to a CloudFormation stack.

  1. Build the SAM application by running the following command in your project directory:
  • sam build
  1. Deploy the SAM application to a CloudFormation stack by running the following command:
  • sam deploy --guided
  1. Follow the prompts to provide the necessary information for the deployment, such as the stack name, AWS Region, and other options.
  2. Once the deployment is complete, you will see a screenshot of the successful deployment output, including the hosted URL for your deployed Next.js application.

Congratulations! You have successfully deployed a Next.js application to AWS Lambda using AWS SAM. By following the steps outlined in this tutorial, you have learned how to set up and configure the Next.js application, initialize AWS SAM, configure the application for deployment on Lambda, configure the Docker image, configure the SAM template, and deploy the application to a CloudFormation stack.

This serverless approach allows you to take advantage of the scalability and flexibility offered by AWS Lambda, without the need to worry about infrastructure management.

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Jennie Lee
Jennie Lee

Written by Jennie Lee

Software Testing Blogger, #API Testing

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