KRCA: An Efficient Root Cause Analysis System in Hyper-Scale Microservice Systems via Agentic AI
Source
Jiamin Jiang, Jingfei Feng, Yu Luo, Qingliang Zhang, Yongqian Su, Wenwei Gu, Shenglin Zhang, Tianyu Cui, Yao Wu, Jielong Huang, Nan Qi, Dan Pei
Author
Jiamin Jiang, Jingfei Feng, Yu Luo, Qingliang Zhang, Yongqian Su, Wenwei Gu, Shenglin Zhang, Tianyu Cui, Yao Wu, Jielong Huang, Nan Qi, Dan Pei
Date
Terms in this piece · Glossary
multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Root-cause search across a hyper-scale microservice fleet is too large for an AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → to brute-force. Narrowing by API drilldown, then a skeleton causal graph as a high-recall prior before agent verification, reaches 0.88 AC@1 on root-cause service localization in production.
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