Building a Milvus Cluster Based on JuiceFS

Collaborations between open-source communities have led to the integration of Milvus, the world's most popular vector database, and JuiceFS, a high-performance distributed POSIX file system designed for cloud-native environments. JuiceFS is commonly used for solving big data challenges, building AI applications, and log collection. A Milvus cluster built with JuiceFS works by splitting upstream requests using Mishards to cascade the requests down to its sub-modules. Benchmark testing reveals that JuiceFS offers major advantages over Amazon Elastic File System (EFS), including higher IOPS and I/O throughput in both single- and multi-job scenarios. The Milvus cluster built on JuiceFS offers high performance and flexible storage capacity, making it a valuable tool for AI applications.