When a data-heavy application slows down, the instinct is usually to look for one expensive query or one missing optimization.
Sometimes that works. Often it only treats the symptom.
A lot of performance issues come from deeper structural problems:
- unnecessary round trips between layers
- unclear ownership of business logic
- data models that do not match the way the system is queried
- workflows that trigger more processing than the product actually needs
Improving performance is easier when the system is designed around the real shape of the problem instead of forcing every request through the same path.