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How a simple destructuring pattern removed redundant translation objects from API responses, reducing cache storage and improving client performance.
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- Published on
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.- Published on
How we squeezed 6x more cache entries into a 1GB Redis instance using gzip compression, while maintaining type safety and sub-millisecond overhead.- Published on
How we replaced slow key-iteration cache clearing with instant timestamp-based invalidation while preserving SWR performance.