Connection Pooling for Python
Optimizes database and HTTP performance using production-ready async connection pooling patterns for Python applications.
Optimizes database and HTTP performance using production-ready async connection pooling patterns for Python applications.
This skill provides specialized guidance for implementing and managing connection pools in high-concurrency Python environments. It covers critical configurations for SQLAlchemy, asyncpg, and aiohttp, focusing on preventing resource exhaustion, handling stale connections, and implementing proper lifecycle management within FastAPI frameworks. By applying these patterns, developers can ensure system stability, reduce latency, and scale backend services effectively while avoiding common anti-patterns like per-request session creation.