I am very new to AWS Lambda and am struggling to understand its functionalities based on many examples I found online (+reading endless documentations). I understand the primary goal of using such service is to implement a serverless architecture that is cost and probably effort-efficient by allowing Lambda and the API Gateway to take on the role of managing your server (so serverless does not mean you don't use a server, but the architecture takes care of things for you). I organized my research into two general approaches taken by developers to deploy a Flask web application to Lambda:
Deploy the entire application to Lambda using zappa-and zappa configurations (json file) will be the API Gateway authentication.
Deploy only the function, the parsing blackbox that transforms user input to a form the backend endpoint is expecting (and backwards as well) -> Grab a proxy url from the API Gateway that configures Lambda proxy -> Have a separate application program that uses the url
(and then there's 3, which does not use the API Gateway and invokes the Lambda function in the application itself-but I really want to get a hands on experience using the API Gateway)
Here are the questions I have for each of the above two approaches:
For 1, I don't understand how Lambda is calling the functions in the Flask application. According to my understanding, Lambda only calls functions that have the parameters event and context-or are the url calls (url formulated by the API Gateway) actually the events calling the separate functions in the Flask application, thus enabling Lambda to function as a 'serverless' environment-this doesn't make sense to me because event, in most of the examples I analyzed, is the user input data. That means some of the functions in the application have no event and some do, which means Lambda somehow magically figures out what to do with different function calls?
I also know that Lambda does have limited capacity, so is this the best way? It seems to be the standard way of deploying a web application on Lambda.
For 2, I understand the steps leading to incorporating the API Gateway urls in the Flask application. The Flask application therefore will use the url to access the Lambda function and have HTTP endpoints for user access. HOWEVER, that means, if I have the Flask application on my local computer, the application will only be hosted when I run the application on my computer-I would like it to have persistent public access (hopefully). I read about AWS Cloud9-would this be a good solution? Where should I deploy the application itself to optimize this architecture-without using services that take away the architecture's severless-ness (like an EC2 instance maybe OR on S3, where I would be putting my frontend html files, and host a website)? Also, going back to 1 (sorry I am trying to organize my ideas in a coherent way, and it's not working too well), will the application run consistently as long as I leave the API Gateway endpoint open?
I don't know what's the best practice for deploying a Flask application using AWS Lambda and the API Gateway but based on my findings, the above two are most frequently used. It would be really helpful if you could answer my questions so I could actually start playing with AWS Lambda! Thank you! (+I did read all the Amazon documentations, and these are the final-remaining questions I have before I start experimenting:))