Learn TORNADO with Real Code Examples

Real-time chat server

Streaming stock price dashboard

Notification push service

Async CRUD API for IoT devices

Live collaboration platform backend

Ensure Python version supports asyncio

Check port availability

Handle uncaught exceptions in handlers

Monitor event loop for blocking operations

Use logging for debugging async tasks

Use unittest or pytest for unit testing

Test async endpoints with `AsyncTestCase`

Mock async database calls

Validate WebSocket interactions

Automate tests with CI/CD

Cloud services (AWS, GCP, Azure)

Docker containerization

Reverse proxy with Nginx for production

Gunicorn + Tornado for multiple processes

Systemd service or supervisor for process management

Python runtime

pip for package management

Postman/Insomnia for API testing

Async libraries like `aiomysql` or `motor`

Logging and monitoring tools (e.g., `logging` module)

Databases (PostgreSQL, MongoDB, MySQL) via async drivers

WebSockets and long-polling

Caching with Redis or Memcached

Authentication and authorization modules

Frontend frameworks via JSON API

Use async handlers to avoid blocking

Compose small reusable handler classes

Monitor logs to detect slow operations

Automate tests and deployments

Integrate with async libraries for DB and caching

Managing async coroutines efficiently

Avoiding blocking the event loop

Handling thousands of simultaneous connections

Integrating with async databases

Securing long-lived connections