Learn TORNADO-REST with Real Code Examples

Async I/O event loop at the core

RequestHandlers process HTTP requests

WebSocketHandlers manage persistent connections

Routing layer maps URLs to handlers

Optional service layers handle business logic

Request received by Tornado HTTP server

RequestHandler or WebSocketHandler processes request

Async coroutines handle I/O operations

Response generated and sent to client

IOLoop continues processing other events

Event-driven asynchronous architecture

RequestHandler-based routing

IOLoop core for concurrency

Optional service layer for business logic

WebSocket and streaming endpoints supported

Real-time chat application with WebSockets

High-concurrency REST API backend

IoT data collection and streaming service

Server-sent events dashboards

Microservices with async communication

Asynchronous, non-blocking core

Lightweight and flexible

High concurrency and real-time focus

Minimal scaffolding, integrate external tools as needed

Simple, event-driven architecture

Use multiple Tornado processes with load balancing

Leverage async libraries to prevent blocking

Cache repeated queries

Optimize WebSocket connections

Monitor IOLoop and resource usage

Update Python and Tornado versions

Refactor deprecated handler or IOLoop calls

Test async endpoints and WebSockets

Deploy incrementally

Monitor concurrency and performance