Design a Distributed Key-Value Store
This article from DEV Community walks through the design of a distributed key-value store, starting with the simplicity of a single-node system where operations are atomic and immediately consistent. As data grows, distribution across nodes introduces challenges rooted in the CAP theorem: during a network partition, you must choose between consistency (blocking writes until recovery) and availability (accepting stale reads). The piece covers core operations (put and get), the tradeoffs between read and write performance, and memory constraints. It emphasizes that no distributed system can avoid partitions, so architects must decide which property to sacrifice. The guide is practical, aimed at developers building or evaluating distributed databases, and highlights that the ideal of full consistency and availability is only possible without partitions.
Understanding CAP tradeoffs is essential for building scalable, resilient systems.