MLflow Patterns

Expert patterns for MLflow tracking server, model registry, custom flavors, and deployment.

Pattern 1: Production MLflow Server Setup

PostgreSQL backend + S3 artifact store for team deployment.

# Infrastructure
# PostgreSQL for run metadata (reliable, concurrent, queryable)
# S3 for artifacts (scalable, durable, cheap)

# 1. Create PostgreSQL database
psql -c "CREATE DATABASE mlflow; CREATE USER mlflow_user WITH PASSWORD 'secure_password'; GRANT ALL PRIVILEGES ON DATABASE mlflow TO mlflow_user;"