System Design: Building Caching System!
Basic caching setups fail when data changes, serving stale data to users. To guarantee real-time data freshness, enforce strict Time-to-Live (TTL) expiration windows or trigger immediate cache invalidations upon every database write. The system purges the stale keys first, ensuring subsequent requests fetch clean, up-to-date values from the source.
Never let high-traffic ""hot keys"" expire at the exact same moment, or you will trigger a catastrophic cache miss storm that slams and crashes your database. Instead, implement the Single Flight pattern to coalesce concurrent duplicate lookups so only one request hits the database while the others wait. Inject random TTL jitter to desynchronize key expirations across nodes and distribute the load.
Created and Produced: Aditya Chauhan
Narration: AI
This design leverages proactive invalidation to prevent stale data, shields backends with Single Flight request coalescing, and uses TTL jitter to build a bulletproof, high-throughput database caching layer.#SystemDesign #SoftwareArchitecture #Caching #Redis #BackendDevelopment #Microservices #Database #Scalability #Performance #TechTips #Coding #Infrastructure