February 8, 2026

Cache Honesty for Growing SaaS

Caches hide pain until invalidation storms make the pain everyone’s problem.

A cache that is always warm in staging can be dishonest in production. Growth changes key cardinality, TTL assumptions, and how often product features force mass invalidation.

Audit which keys protect user-facing latency versus which keys merely delay inevitable database work. Promote the first set; demote or delete the second. Pair every invalidate-all pattern with a throttle and a backfill plan.

Honest caches publish hit rates next to origin error budgets. When those charts disagree, you learn about architecture—not just about Redis settings.

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