Performance
GraphQL Performance Was Deteriorating
Query response times were climbing. The database looked guilty. The real culprit was over-fetching and an N+1 pattern hiding in plain sight.
What's at stake
- API response times degrading under normal load
- Database blamed prematurely
- Wrong fix would waste engineering effort
The Scenario
GraphQL response times are climbing and the DB is showing high query volume. What do you investigate first?
Tech Debt Confessional
“Over-fetching can make the database look guilty when it is not.”
The database was doing exactly what it was told. The problem was in how many times it was being asked. The query pattern was the issue, not the infrastructure.
Lessons
- Measure before you optimize
- N+1 queries are common and often invisible until scale
- The database is often a messenger, not the problem
- DataLoader and batching are standard tools worth knowing cold
Business Impact
- Query count reduced by 80%+ for list resolvers
- Response times returned to baseline without infrastructure changes
- Avoided premature database scaling costs