Python Dashboard Deployment

🔍🛠️ Overview

Deploying Python dashboards for production requires a robust HTTP server. While Flask and Dash provide built-in servers for development, they are single-threaded and not suitable for production environments. For scalable and reliable deployment, Gunicorn is used as a WSGI HTTP server designed specifically for production.

💡 Key Features

• Multi-worker process management for handling concurrent requests
• Load balancing and fault tolerance
• Supports graceful restarts and smooth deployments
• Works seamlessly with Flask and Dash applications

🚀 Use Cases

• Running Dash or Flask dashboards in production
• Serving multiple users with concurrent requests
• Integrating with Docker and CI/CD pipelines for deployment

⚙️ Setup & Configuration

Dockerfile snippet for Gunicorn

CMD ["gunicorn", "-b", "0.0.0.0:7777", "dashboard:server"]

Important notes:

• Your app should be inside a module (include an __init__.py file in the same directory as dashboard.py).
• In your dashboard.py, initialize your Dash app as:
  python app = Dash(__name__) server = app.server
• Use server as the WSGI app for Gunicorn, not app.

📚 Resources

• Gunicorn Official Documentation
• Flask Documentation
• Dash Documentation
• Deploying Dash with Gunicorn Tutorial

🧠 Notes & Tips

• Gunicorn improves performance by running multiple worker processes, which Flask and Dash development servers lack.
• Monitor your workers and adjust the number based on your server’s CPU cores and expected traffic.
• Use process managers like systemd or Docker for managing Gunicorn in production.
• For local testing, Flask/Dash built-in servers are fine, but always switch to Gunicorn or similar for production.