SCALING SMOOTHLY: REVENUECAT'S DATA-CACHING TECHNIQUES FOR 1.2 BILLION DAILY API REQUESTS

Summary from the TLDR Web Dev newsletter

RevenueCat's caching system handles 1.2 billion daily API requests by distributing the load among servers and using the cache for hot data. For low latency, it uses pre-established connections and fails fast on unresponsive servers. To keep the cache up and warm, it plans for server failures and uses fallback pools. To maintain consistency, it employs write failure tracking and consistent CRUD operations.