System design interviews often ask candidates to scale storage systems from simple files to massive key-value stores. This topic traces the lineage from Google File System (GFS), which introduced master-slave architecture and chunk-based storage, to modern KV stores like Dynamo and Bigtable. Key concepts include data partitioning, replication, consistency models, and failure handling. Understanding these patterns helps engineers design robust systems that can handle millions of requests per second. The article likely covers trade-offs between consistency and availability, and how different systems optimize for specific workloads. For developers, this is a foundational topic that appears frequently in technical interviews and real-world architecture discussions. While the content is not new, it serves as a solid reference for both learning and teaching.
Explore the evolution of distributed storage systems from Google File System to modern key-value stores, with key design lessons for engineers.