Serverless API deployment AWS

This post is about Serverless API deployment AWS

Introduction

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User demand for new functions grows faster than your development processes can meet. As a result, you need a platform, methods, application services, and tools that can keep up without forcing you to leave behind the existing apps that your customers depend on.
Cloud-native development provides strategic flexibility and agility to build and run applications on any cloud and embodies well-known development best practices of continuous integration and deployment. Enterprises are also modernizing enterprise middleware. A cloud-native platform is a modern app platform that can replace aging and expensive application servers.

Serverless API

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This e-book presents enterprise architects and IT leaders with a step-by-step guide for tackling modern IT strategy.

• 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 handler.py and serverless.yml

# cat handler.py
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'

provider:
  name: aws
  runtime: python3.8

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

Deploying

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)

dashboard: https://app.serverless.com/unixcop/apps/aws-python-http-api-project/aws-python-http-api-project/dev/us
-east-1
endpoint: GET - https://igvrkkobzf.execute-api.us-east-1.amazonaws.com/
functions:
  hello: aws-python-http-api-project-dev-hello (85 kB)