Since I'm re-writing the Moodster API I decided I should start off with dockerisation and bake it straight into my development process.
Fortunately the FastAPI documentation already comes with pre-built examples and docker containers for running FastAPI in Docker.
The guidelines in place are to allow you to create services which are as maintainable and scalable as possible. The rule in particular that has driven me to do dockerisation of moodster is called Dev/Prod Parity. This essentially says that the development, staging and production environments should be as similar as possible.
In the Flask-Restplus version of the Moodster API I was using sqlite for development and then I was using PostgresSQL for the unit tests and eventually for deployment. This caused me issues from the off where I was hitting issues with differences between how Postgres and sqlite worked with SQLAlchemy and database migrations. It also made the configuration more confusing as I was having to override lots of things depending on dev vs testing. This is not ideal!
All Dockered up
I did find that it slowed some development speed initially but now that I'm used to the docker commands a lot more it's no longer a barrier. Also the amount of time it is going to save me when it comes to deployment means it will be well worth it.