This template demonstrates how to develop and deploy a simple Node Express API service running on AWS Lambda using the Serverless Framework.

This template configures a single function, api, which is responsible for handling all incoming requests using the httpApi event. To learn more about httpApi event configuration options, please refer to httpApi event docs. As the event is configured in a way to accept all incoming requests, the Express.js framework is responsible for routing and handling requests internally. This implementation uses the serverless-http package to transform the incoming event request payloads to payloads compatible with Express.js. To learn more about serverless-http, please refer to the serverless-http README.

Install dependencies with:

npm install

and then deploy with:

serverless deploy

After running deploy, you should see output similar to:

Deploying "aws-node-express-api" to stage "dev" (us-east-1)

✔ Service deployed to stack aws-node-express-api-dev (96s)

endpoint: ANY - https://xxxxxxxxxx.execute-api.us-east-1.amazonaws.com
functions:
  api: aws-node-express-api-dev-api (2.3 kB)

Note: In current form, after deployment, your API is public and can be invoked by anyone. For production deployments, you might want to configure an authorizer. For details on how to do that, refer to httpApi event docs.

After successful deployment, you can call the created application via HTTP:

curl https://xxxxxxx.execute-api.us-east-1.amazonaws.com/

Which should result in the following response:

{ "message": "Hello from root!" }

The easiest way to develop and test your function is to use the dev command:

serverless dev

This will start a local emulator of AWS Lambda and tunnel your requests to and from AWS Lambda, allowing you to interact with your function as if it were running in the cloud.

Now you can invoke the function as before, but this time the function will be executed locally. Now you can develop your function locally, invoke it, and see the results immediately without having to re-deploy.

When you are done developing, don't forget to run serverless deploy to deploy the function to the cloud.