configuring-connection-pools

Connection exhaustion in serverless occurs when multiple Lambda instances open independent connections, overwhelming the database. Configure Prisma's connection_limit to 1 per instance and use PgBouncer for pooling across instances to share connections and prevent exhaustion.

Tune Prisma's connection_limit to approximately (CPU cores × 2) + 1 for traditional servers. Set pool_timeout and connect_timeout in your DATABASE_URL to handle connection queuing and timeout scenarios, adjusting based on your workload and infrastructure.

Use PgBouncer when Prisma alone cannot handle your concurrency demands or when deploying across multiple serverless instances. PgBouncer provides transaction-mode pooling and scales connection reuse beyond per-instance limits, improving throughput in high-concurrency scenarios.

Yes. Serverless deployments require connection_limit = 1 per instance to prevent cross-instance exhaustion, while traditional servers benefit from (CPU cores × 2) + 1. Environment-specific DATABASE_URL patterns and deployment checklists ensure each context applies the right strategy.

Low timeout values cause connection requests to fail prematurely under load, reducing throughput and generating errors. Balance timeouts with your application's latency tolerance and database response times to queue requests without unnecessary drops.