MLflow is an open-source platform for managing the machine learning lifecycle — experiment tracking, model registry, and reproducible runs. This guide deploys MLflow using Docker Compose with a PostgreSQL backend, S3-compatible artifact storage, basic-auth, and Traefik handling automatic HTTPS, ...
Source: [Dev.to](https://dev.to/vultr/deploying-mlflow-open-source-machine-learning-experiment-tracking-on-ubuntu-2404-1fcg)