kristiankauffeld
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best practices for deploying FastAPI, Redis and RQ workers?
I have deployed a FastAPI server and a RQ Worker in separate containers on Railway based on the same monorepo: https://github.com/kristiankauffeld/fastapi-redis
The repo is structured by separating the services into different directories where they have their own Dockerfile. The two services communicate through a Redis instance.
Currently there is some code duplication since I have copied the "utils" folder both into the "api" and the "rq-worker" folder. So if anyone perhaps could share some insight whether there is a better approach to deploy an application like this.
Thanks
33 replies
how to deploy a CPU-only version of PyTorch
I am trying to deploy a FastAPI application in a Docker container and I think I need to deploy a CPU-only version since as I understand Railway doesn't support GPU yet.
Do anyone in here know how to deploy a CPU-only version of PyTorch and related libraries, including torchaudio?
I have seen that the Demucs repo has an "environment-cpu.yml" file: https://github.com/facebookresearch/demucs/blob/main/environment-cpu.yml
10 replies