Database Sharding and Global Scalability
Database Sharding and Global Scalability Global apps face more users, more data, and higher latency. Database sharding splits data across many machines, letting you scale horizontally. With clear shard boundaries, you can grow by adding servers rather than upgrading a single box. This approach also helps keep response times reasonable as traffic rises. A shard is a subset of data stored on one server or cluster. The shard key decides where a row lives. If the key is well chosen, reads and writes spread evenly across shards. If not, some shards become hot while others stay underused. Simple examples include product_id, user_id, or a region combined with the key. Plan for growth by letting shards be added and rebalanced over time. ...