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A Template for setting up remote MLFlow Tracking Server with PostgreSQL backend and MinIO object storage

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mlflow-setup

This repository contains the code for setting up MLFlow Tracking Server with PostgreSQL as backend and MinIO as artifact store, using docker-compose.

Prerequisites

Docker and docker-compose should be installed on your machine, either through Docker Desktop, or its alternatives such as Orbstack

Configure environment variables

Make a copy of the docker/.env.example file and rename it to docker/.env. Then, update the environment variables in the .env file as per your requirements.

Build and start the services

docker compose up -d --build

If everything is setup properly, you should be able to access the services at the following URLs:

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A Template for setting up remote MLFlow Tracking Server with PostgreSQL backend and MinIO object storage

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