v2.x ready·production-grade YAML

MLflow Docker Compose
Generator

Configure your MLflow tracking server, pick your stack, and get a battle-tested docker-compose.yml — zero guesswork.

docker-compose-builder.sh
Service Configuration
MLflow Version
Backend Database
Storage & Options
Artifact Storage
Server Port
host → container:5000
Extra Options
docker-compose.yml

  





  
Quick Start
  1. Generate your YAML
  2. Save as docker-compose.yml
  3. Run docker compose up -d
  4. Open localhost:5000

  
Connect Your Code
  1. Install mlflow via pip
  2. Set MLFLOW_TRACKING_URI
  3. mlflow.set_experiment("my-exp")
  4. Start logging runs!

  
Production Tips
  • Use Postgres in prod
  • Mount secrets via .env
  • Put Nginx in front
  • Enable health checks




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