Back to listCategory config Workaround solid Stage deploy Freshness persistent Scope single_lib Upstream open Recurring Yes Buyer Type team Maintainer active
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
- https://karenjex.blogspot.com/2024/07/how-postgres-is-misused-and-abused.html
- https://www.compilenrun.com/docs/database/postgresql/postgresql-best-practices/postgresql-common-pitfalls/
- https://redis.io/blog/redis-then-and-now-adapting-with-developers-through-every-era/
- https://experience.percona.com/postgresql/postgresql-complexity-and-your-business/enterprise-scale-challenges-real-world-postgresql-issues-youll-face
Collection History
Query: “What are the most common pain points with Redis for developers in 2025?”3/30/2026
Database connections quickly emerged as a significant bottleneck. As user counts grew, apps would exhaust available connections, resulting in system failures.
Query: “What are the most common pain points with PostgreSQL for developers in 2025?”3/29/2026
Each PostgreSQL connection consumes server resources (approximately 10MB of RAM). Applications that create new connections for each database operation can quickly exhaust server resources.
Created: 3/29/2026Updated: 3/30/2026