Azam's Blog on System Design & Architecture

    Database sharding is a technique used in distributed database systems to horizontally partition data across multiple servers or nodes. The goal of sharding is to improve scalability and performance by distributing the data and query load across multiple nodes.   In sharding, data is divided into smaller, more manageable subsets called shards, and each shard is stored on a separate server or node. Each node in the system is responsible for storing and processing a subset of the data. Queries to the database are then distributed across the nodes, with each node processing queries related to its subset of the data.   Benefits of Sharding:   Improved scalability: Sharding allows for horizontal scaling of the database, with additional nodes added to handle increased data and query loads.   Improved performance: Sharding can improve performance by distributing the query load across multiple nodes, reducing the workload on each node.   C...