A new system called Log-Insight has been developed to automate the diagnosis of microservice incidents for Site Reliability Engineers. This system addresses the challenge of massive log data volume by employing a six-stage pipeline that pre-ranks and synthesizes evidence for an LLM, reducing data by up to 7,000x. In production at Huawei, Log-Insight demonstrated a Mean Reciprocal Rank of 0.790, correctly identifying root causes within the top three hypotheses in over 90% of test cases with under a minute of latency. AI
IMPACT Automates complex diagnostic tasks, potentially reducing downtime and operational costs for microservice-based systems.
RANK_REASON The item describes a novel system and its evaluation on historical incidents, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.IR (Information Retrieval) →
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