db-connection-pooling

Serverless applications exhaust PostgreSQL backend connections by opening direct database connections that multiply rapidly with concurrent invocations. Auditing connection pooling identifies direct connections and improper pool sizing to prevent outages.

To audit connection pooling, analyze your serverless application's connection management practices to identify direct Postgres connections, transaction-mode pooler misuse, and improper pool sizing against backend max_connections limits.

Yes, you need Python and PostgreSQL access to verify findings when analyzing pool sizing against backend max_connections. These are required to accurately audit and validate the connection pooling performance issues.

Transaction-mode pooler misuse occurs when serverless functions interact with connection poolers in ways that cause performance degradation. Auditing identifies this misuse along with direct Postgres connections and pool sizing issues.

The primary limitation is that verifying connection pooling findings requires explicit Python and PostgreSQL access. Without this environment access, the audit cannot fully validate identified performance issues with direct Postgres connections and pool sizing.