anton-petrov/dockerized-fastapi-redis-rq-task-queue

This project is a ready-to-run example of a web API that can hand off slow or heavy tasks to a background worker, so the API stays fast and responsive. Instead of making a user wait while the server processes something time-consuming, the API accepts the request, puts the job on a queue, and immediately returns a response saying the work is in progress. At a high level, it uses a popular Python web framework to handle incoming requests and a separate background system to actually do the queued work. A lightweight in-memory database acts as the queue holding the jobs, and a background worker picks up each job and runs it. Everything is wrapped in containers, which means the whole setup can be started with a single command and will run the same way on any computer. A startup founder or product manager might use this as a starting point when building a feature that takes time to complete, such as generating a report, processing an uploaded file, or sending a batch of emails. Rather than building the background task system from scratch, you get a working example you can adapt to your own needs. The README is very sparse and doesn't go into detail about specific features, configuration, or how to customize the example for real-world use. It is essentially a minimal starting point, so you would need to look at the code itself or the linked article it is based on to understand how to extend it.