Tuhu Car, a major Chinese auto service platform with 162 million registered users and over 8,000 workshops, faced a storage scalability challenge. Their infrastructure relied on a mix of NFS, Alluxio, MinIO, and SeaweedFS, leading to operational complexity and performance bottlenecks. To support growing data management and compute demands, they migrated to a unified storage solution using JuiceFS with Ceph RADOS as the object store. This architecture handles billions of files efficiently, reducing latency and operational overhead. The case study highlights key design decisions, such as metadata optimization and data tiering, that enabled seamless scaling. For global developers, this demonstrates a proven approach to consolidating heterogeneous storage systems into a single, high-performance layer. The lessons are directly applicable to any organization dealing with large-scale file storage, especially in e-commerce, IoT, or media-heavy environments.
Tuhu Car, a leading auto service platform with over 160 million users, optimized its storage infrastructure to handle billions of files by consolidating multiple systems into JuiceFS backed by Ceph RADOS. This case study details the migration, performance gains, and cost savings, offering valuable insights for engineers managing large-scale distributed storage.