Serverless API deployment AWS

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Serverless API

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  • Lower costs – Serverless computing is generally very cost-effective, as traditional cloud providers of backend services (server allocation) often result in the user paying for unused space or idle CPU time.
  • Simplified scalability – Developers using serverless architecture don’t have to worry about policies to scale up their code. The serverless vendor handles all of the scaling on demand.
  • Simplified backend code – With FaaS, developers can create simple functions that independently perform a single purpose, like making an API call.
  • Quicker turnaround – Serverless architecture can significantly cut time to market. Instead of needing a complicated deploy process to roll out bug fixes and new features, developers can add and modify code on a piecemeal basis.

Installing Serverless API CLI via npm

# npm install -g serverless
# Create a new serverless project
# serverless

# Move into the newly created directory
cd your-service-name

Required files and serverless.yml

# cat
import json

def hello(event, context):
    body = {
        "message": "Go Serverless v3.0! Your function executed successfully!",
        "input": event,

    return {"statusCode": 200, "body": json.dumps(body)}
# cat serverless.yml
service: aws-python # NOTE: update this with your service name

frameworkVersion: '3'

  name: aws
  runtime: python3.8

    handler: handler.hello
      - http:
          path: hello
          method: get


If you haven’t done so already within the serverless command, you can deploy the project at any time by running:

# serverless deploy

Get the API URL generated by the command

Deploying aws-python-http-api-project to stage dev (us-east-1)

✔ Service deployed to stack aws-python-http-api-project-dev (133s)

endpoint: GET -
  hello: aws-python-http-api-project-dev-hello (85 kB)
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