Building Resilient TypeScript REST APIs in Node.js with PostgreSQL: Beyond Basic CRUD
Most backend bottlenecks don’t happen because of poor hardware.
They happen because of unoptimized queries, missing connection pools, and sloppy TypeScript types.
Moving from basic CRUD to a production-grade Node.js and PostgreSQL architecture requires a shift in mindset:
• Strict Type Safety: Leveraging TypeScript interfaces for request validation and database models to catch errors at compile time, not in production.
• Connection Pooling: Managing PostgreSQL pools efficiently to prevent socket exhaustion under high concurrent load.
• Indexed Queries: Analyzing execution plans with EXPLAIN ANALYZE rather than blindly adding indexes.
• Graceful Error Handling: Centralizing exception handling to maintain consistent REST API response contracts.
Your database isn't slow. Your query lifecycle probably is.
What’s the most stubborn bottleneck you’ve debugged in a Node.js REST API recently?