Our Redis cache kept dropping TLS connections, taking down the entire caching layer. After a misleading benchmark nearly sent us in the wrong direction, we migrated to PostgreSQL — same performance, zero drops, one less service to manage.
How a simple destructuring pattern removed redundant translation objects from API responses, reducing cache storage and improving client performance.
How to implement Stale-While-Revalidate caching that adapts based on user type and endpoint sensitivity. B2B users get fresh stock data while anonymous visitors enjoy faster cached responses.
How we squeezed 6x more cache entries into a 1GB Redis instance using gzip compression, while maintaining type safety and sub-millisecond overhead.
How we replaced slow key-iteration cache clearing with instant timestamp-based invalidation while preserving SWR performance.