As a developer, you may encounter situations where your application's database must handle large amounts of data. One way to manage this data effectively is through database sharding, a technique that distributes data across multiple servers or databases horizontally. Sharding can improve performance, scalability, and reliability by breaking up a large database into smaller, more manageable pieces called shards.
In this article, we'll explore the concept of database sharding, discuss various sharding strategies, and provide a step-by-step guide to implementing sharding in MongoDB, a popular NoSQL database.