Zappa VS cookiecutter-django

If people aren't familiar, there's a similar project for Python that's fantastic: https://github.com/zappa/Zappa

Chalice was a consequence, a reaction from AWS to the release of (Zappa Framework)[https://github.com/zappa/Zappa] that provide a very good alternative to migrate very quickly a Django/Flask or any WSGI compliant solution in Python.

Use Zappa https://github.com/zappa/Zappa and host as a Lambda, simple setup and deployment, Lambda only costs when processing requests, no servers to mess around with

One of my favorite options that is probably the most cost-effective is to deploy using a 'severless' model on AWS Lambda using zappa which supports deploying Python webapps to AWS in this way. Zappa also makes it super easy to deploy in just a couple commands! The README includes instructions for everything you might need, including handling sensitive information like your database passwords, running django management commands, setting up DNS, etc.

Deployment works nicely with Docker. I often use AWS AppRunner because it's really easy and just scales. Some people use AWS Lambda with Zappa but I don't recommend it unless you really want to spend less than $15 a month. You will probably need Django Storages to save uploads to an S3 bucket. At some stage you might want to put a CloudFront distribution in front of everything but the configuration of the caching behaviour might be a bit confusing when you do it the first time.

It doesn't have to be an either-or! I have several apps in production that were developed on Django or Flask, and deployed to Lambda using Zappa.

If you need a relational DB, you can use AWS Aurora or RDS and use cloud functions ('lambda' in AWS) that you can invoke with HTTP to process the document first. Zappa will do a lot of the configuration for you if you go that route.

Lambda + API gateway, this library bundles a Django application into a lambda https://github.com/zappa/Zappa . 1 million free invokes from aws, scale to zero, plugs into your RDS

I use Zappa, it just schedules a frequent execution of the lambda: https://github.com/zappa/Zappa#keeping-the-server-warm

cookiecutter https://github.com/pydanny/cookiecutter-django

"1" is definitely something I'd like the team to focus on. Cookie-cutter django aims at it (https://github.com/pydanny/cookiecutter-django) but IDK I think it goes a little too far, and we should have better out-of-the-box options. I think we have this situation because of the unwillingness to make backward incompatible changes.

Use Django Environ for secret keys etc, have a look at 12 factor https://12factor.net and https://github.com/pydanny/cookiecutter-django for a solid example of a best practise setup.

Have you seen https://github.com/pydanny/cookiecutter-django ?

I don't have production level examples but cookie cutter django covers setting up points 3,4,6 https://github.com/pydanny/cookiecutter-django for you. django-allauth for point 6

You really should take a look at cookiecutter it makes bootstrapping projects easier and more customizable. You can also peek at cookiecutter Django.