Sharded Storage
Sharded storage is a database architecture pattern that horizontally partitions data across multiple servers or nodes, called shards, to distribute load and improve scalability. Each shard holds a subset of the data, allowing parallel processing and reducing bottlenecks in large-scale applications. It is commonly used in distributed systems to handle high volumes of data and traffic efficiently.
Developers should learn and use sharded storage when building applications that require high scalability, such as social media platforms, e-commerce sites, or real-time analytics systems, where single-server databases become performance bottlenecks. It is essential for managing massive datasets and ensuring low-latency access by spreading queries across multiple shards, enabling horizontal scaling beyond the limits of vertical scaling.