AWS has saved a lot of money for their customers who were looking for a simple proxy to expose serverless application by releasing HTTP API Gateway. If you are NOT looking for features like request/response transformation, Lambda authorizer, request parameters/body validation, request forwarding to other AWS services and such other advanced features then HTTP API is the best choice instead of REST API. A detailed comparison between HTTP and REST API can be found here.

Before diving into the implementation part you will need Lambda code to successfully test our deployment.

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Let’s start with the implementation part by creating our lambda functions.

First Function:

• Start with giving your function a name
• Under runtime, select Python 3.8
• For permissions, select Create a new role with basic Lambda permissions

Lambda Function 1

Once you click on Create Function button an IAM role with basic required permissions will be created along with your function.

Replace the default code with the following:

mport json

	def lambda_handler(event, context):
	    return {
	        'statusCode': 200,
	        'body': json.dumps('Hello from api 1')
	    }

Make sure to click the Save button available on the top right side before navigating away from the page.

Lambda Code (Function 1)

Function Two

• Give your function a name
• Select **Python 3.8 **for runtime
• For permissions, select Create a new role with basic Lambda permissions

Lambda Function 2

Replace the default code with the following for the second function:

Don’t forget to save your code.

Lambda Code (Function 2)

It’s now time to create our API Gateway so let’s do it.

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