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Scaling Flask Applications: Why Connection Pooling Beats Individual Database Connections

Flask 애플리케이션 확장하기: Connection Pooling으로 데이터베이스 성능 최적화

Why it matters

As web applications grow, database connection management becomes critical to system stability. The traditional approach of opening and closing individual connections per request creates significant overhead—with 100 concurrent users generating hundreds of connection negotiations, consuming precious CPU and memory resources. Connection pooling offers a proven solution, maintaining a ready set of connections that dramatically reduces overhead and improves performance under heavy load.

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FlaskPostgreSQLConnection Poolingpsycopg2Scalability

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