What Milvus Users Taught Us in 2024

This post analyzes user discussions from 2024 to identify common challenges and provide guidance on Milvus usage. It categorizes these insights into Performance Optimization, Deployment Strategies, and Data Management. For deployment, it details the differences and use cases for Milvus Lite, Standalone, and Distributed, introduces the Milvus Resource Sizing Tool, and discusses index and distance metric selection (in-memory, on-disk, GPU indexes, and distance metrics). It also addresses troubleshooting distributed deployments and Windows deployment. For performance, it explains how to measure performance using metrics and the WebUI, how to observe internal state, and provides insights into complex internal aspects like segment sealing and memory management. Finally, it touches upon the selection of embedding models.
More from the Benchmarking and Performance Analysis trail
- Troubleshooting a Search Slowdown After Upgrading Milvus: Lessons from the WPS Team
- How to Safely Upgrade from Milvus 2.5.x to Milvus 2.6.x
- How to Debug Slow Search Requests in Milvus
- Hands-On with VDBBench: Benchmarking Vector Databases for POCs That Match Production
- https://zilliz.com/blog/vdbbench-1-0-benchmarking-with-your-real-world-production-workloads