⚡ Your API might not be slow. Your database queries might be.

⚡ Your API might not be slow. Your database queries might be.

A Spring Boot endpoint takes 2 seconds to respond.

What's your first reaction?

❌ Add more CPU.
❌ Increase the server size.
❌ Rewrite the entire service.

But sometimes, the real problem is an N+1 query issue.

Imagine fetching 100 users and triggering a separate database query for each user's profile.

Instead of one optimized query, you might execute 101 queries.

Here's what I'd investigate first:

🔹 Enable SQL query logging in development.
🔹 Inspect query execution plans.
🔹 Check Hibernate fetch strategies.
🔹 Use projections or fetch joins where appropriate.
🔹 Measure performance before and after the fix.

The best optimization isn't always adding more resources. Sometimes, it's eliminating unnecessary work.

How do you usually identify database bottlenecks in production?

#Java #SpringBoot #PostgreSQL #BackendEngineering #PerformanceOptimization