Connection Pooling Neglect and Resource Exhaustion
6/10 MediumFailing to implement connection pooling is a common mistake in PostgreSQL deployments. Each connection consumes approximately 10MB of RAM, and applications that create new connections for each database operation can quickly exhaust server resources, leading to performance degradation and application failures.
Sources
- 5 Things weve learned building large APIs with FastAPI - Maarten Huijsmans
- How Postgres is Misused and Abused in the Wild
- Migrating To Neon...
- PostgreSQL Common Pitfalls - Compile N Run
- Redis 8 (2024-2025)
- PostgreSQL in the Enterprise: The Real Cost of Going DIY
- Developer Days March 2023
- Neon Postgres Deep Dive: Why the 2025 Updates Change ...
Collection History
Connection pooling via PgBouncer is not just a cold-start mitigation but a fundamental component for high-traffic applications on Neon. It efficiently manages thousands of concurrent connections, reducing the overhead of establishing new database connections.
when you're connecting to a database um these clients usually have um connection pools so if you do this what you see here um you don't really use the connection pools because you're always setting up the database connection when there is an incoming request so this is not super efficient either
Database connections quickly emerged as a significant bottleneck. As user counts grew, apps would exhaust available connections, resulting in system failures.
Each PostgreSQL connection consumes server resources (approximately 10MB of RAM). Applications that create new connections for each database operation can quickly exhaust server resources.