Creating a new DB connection per Flask request is expensive; use connection pooling to reuse connections, reduce overhead, and improve performance. With Flask-SQLAlchemy, choose static pools (fixed SQLALCHEMY_POOL_SIZE) or dynamic pools that scale via SQLALCHEMY_POOL_MIN_SIZE, SQLALCHEMY_POOL_PRE_PREFERRED_SIZE, and SQLALCHEMY_POOL_MAX_SIZE—simple config tweaks that yield faster, more efficient, high-traffic apps.
Efficient database apps hinge on reusing connections and controlling concurrency: connection pooling cuts the heavy cost of opening connections, speeding responses and conserving resources; thread-safe pools, connection limits, and async queries prevent contention and deadlocks; monitor pool health, set timeouts, and rely on tools like PgBouncer or HikariCP, proven in high-traffic use cases like e-commerce order processing.
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