MLflow:Docker

lastmod 2026-11-10created 2026-03-122 edits

Docker deployment of MLflow covers running the MLflow Tracking Server, an experiment tracking server, as containers. The typical setup is to launch the server from the official Docker image, keep experiment metadata in a database such as PostgreSQL, and keep models and artifacts in S3-compatible storage (MinIO, etc.); the docker-compose example in the MLflow repository brings up these three containers together. It suits a server shared by multiple users better than local file storage.

MLflow with Docker Compose (PostgreSQL + S3-Compatible Storage)

See also

• Docker
• mlflow

Favorite site

• mlflow/docker-compose at master · mlflow/mlflow
• Official MLflow Docker image | MLflow
• Package mlflow