Production Caching Strategy with Redis for High-Traffic APIs

Caching failures usually come from poor key design, not Redis itself. We adopted a strict key pattern that encoded tenant, resource type, and version to keep lookups deterministic.

Invalidation was event-driven where possible. Domain events triggered targeted cache clears, while short TTLs acted as a safety net for long-tail consistency issues.

Operationally, dashboards tracked hit ratio and stale-read incidents per endpoint. That gave us fast feedback whenever schema changes accidentally bypassed cache versioning.