Developing a Distributed Key-Value Database with Sharding and Replication: A Step-by-Step Guide
In this article, Ravikishan shares his experience in developing a distributed key-value database that utilizes sharding and replication. The project aimed to create a scalable and fault-tolerant system for storing and retrieving large amounts of data.
The author provides an overview of the architecture, including the setup of the development environment, descriptions of key components, and explanations of significant algorithms and data structures. He also shares his insights on the importance of sharding and replication in modern data storage solutions.
Sharding allows for horizontal scaling, enabling the database to handle high levels of concurrency while maintaining data consistency and availability. Replication ensures that even if a node fails, the data remains accessible from other replicas.
The article is accompanied by a GitHub repository containing the complete code, making it an excellent resource for developers interested in exploring distributed systems.