18 — Scale & Optimize

Caching & Prediction Stores#

Performance✓ Mathematical
◆ The PatternDon't predict what you've already predicted

If 80% of your requests are repeated inputs (product recommendations, credit scores), a prediction cache (Redis, Memcached) can serve them in microseconds. Prediction stores precompute scores for all known entities on a schedule. TTL and invalidation strategies keep results fresh.

// Interactive — cache hit rate vs latency
Cache Hit Rate %70%
Avg Latency
Pattern bridge: Prediction caching is memoization at system scale. In markets, precomputed support/resistance levels serve the same purpose — calculate once, reference many times.
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