In this series of articles, I'll go through my experience of building a simple Serverless API using Flask python framework and deploying it on AWS Lambda and API gateway.
This API is used from HttpRider to save API exchanges (request+response).
Here is a sample page generated from HttpRider.
Demo
The service itself consists of two simple APIs.
POST /prints
Saves the HTML encoded in base64 in dynamo database. Once it is saved, it returns the URL of the shared document in the Location header of the response.
POST /prints Headers
Content-Type: application/json Body
{ "document": "SHR0cFJpZGVy" } Response
HTTP 201 Headers
location: http://localhost:8080/prints/025000cf-14ba-421b-a000-d2d043d4d90b GET /prints/{print-id}
This GET request uses the URL from the location header in the previous request and receives the HTML response with the document.
GET /prints/025000cf-14ba-421b-a000-d2d043d4d90b Headers
Accept: text/html Response
HTTP 200 Headers
content-type: text/html; charset=utf-8 Body
<!DOCTYPE html> <html> <head> <title>Deskriders :: API Print</title> <style> .... removed to save space ... </style> </head> <body> <div>HttpRider</div> </body> </html> In the next part, we will look at setting up a new Flask project and serverless framework configuration to deploy it to AWS Lambda.
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