Deploying MLflow Open-Source Machine Learning Experiment Tracking on Ubuntu 24.04 (opens in new tab)

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, then logs a sample scikit-learn run. By the end, you'll have MLflow recording experiments at your domain over HTTPS. Prerequisite: An S3-compatible bucket (e.g. Vultr Object Storage) with access key, s...