How to Think About Sharding in System Design (Core Framework Explained)

Sharding is often introduced as a way to scale databases. But in reality, it’s not just about splitting data — it’s about distributing load in a way that matches how your system is used. In this video, we break down sharding in system design using a clear and practical framework. 🚀 What You’ll Learn - Different sharding strategies: hash, range, geo - How query patterns affect sharding decisions - The importance of data locality - Trade-offs: scalability, hotspots, operational complexity - How to think like a senior engineer in system design 🧠 Core Framework When thinking about sharding, we break it down into three dimensions: 1. Data distribution strategy (hash, range, geo) 2. Query patterns and access locality 3. Trade-offs between scalability, hotspots, and complexity This framework helps you reason clearly in system design interviews.