Performance optimization should be based on measurements rather than assumptions. Monitor resolver execution time, database query duration, request duration, error rates, cache hit rates, and DataLoader batch sizes.

A useful production strategy is to identify slow operations first, determine whether the bottleneck is GraphQL execution, application code, database access, external services, or serialization, and then optimize the actual bottleneck.