Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
FastAPI async patterns for building high-performance, concurrent APIs with optimal resource usage. Covers async route handlers, database operations (SQLAlchemy, asyncpg, Motor, Tortoise ORM), and connection pooling strategies for efficient resource management Includes real-time communication patterns: WebSockets with authentication and broadcasting, Server-Sent Events (SSE), and streaming responses for large files or generated content Provides concurrent request handling with asyncio.gather for parallel operations, background tasks with BackgroundTasks, and async context managers for resource cleanup Demonstrates performance optimization techniques including caching, batch operations, debouncing, and prefetching related data to minimize latency FastAPI Async Patterns Master async patterns in FastAPI for building high-performance, concurrent APIs with optimal resource usage. Basic Async Route Handlers Understanding async vs sync endpoints in FastAPI. from fastapi import FastAPI import time import asyncio app = FastAPI()
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