@hackproduct9: Most candidates memorize caching definitions. Strong system design candidates know when to use each caching pattern. Cache-Aside. Read-Through. Write-Through. Write-Back. Refresh-Ahead. That’s 80% of the caching discussion you’ll face in interviews. A simple mental model: 📖 Read-heavy system → Cache-Aside 🔒 Strong consistency → Write-Through ⚡ Ultra-fast writes → Write-Back 🔥 Traffic spikes & hot data → Refresh-Ahead 🧩 Want abstraction from the app layer → Read-Through Remember: The goal isn’t to cache everything. The goal is to cache the right data with the right TTL using the right pattern. Because every cache introduces trade-offs: latency, consistency, freshness, complexity, and cost. If your database is answering every request, you’re probably missing a cache. @hackproduct #SystemDesign #Caching #DistributedSystems #SoftwareEngineering #BackendEngineering

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Friday 19 June 2026 04:45:06 GMT