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English(EN) Log-Insight: Automating Microservice Incident Diagnosis via Neuro-Symbolic Log Analysis

Log-Insight 为华为自动化微服务事件诊断

一个名为 Log-Insight 的新系统已被开发出来,用于为站点可靠性工程师自动化微服务事件的诊断。该系统通过采用一个六阶段的管道来解决海量日志数据量的挑战,该管道对证据进行预排序和综合,以供 LLM 使用,数据量最多可减少 7,000 倍。在华为的生产环境中,Log-Insight 的平均倒数排名(Mean Reciprocal Rank)为 0.790,在测试用例中,有 90% 以上的用例在不到一分钟的延迟内正确识别了根本原因。 AI

影响 自动化复杂的诊断任务,有可能降低基于微服务的系统的停机时间和运营成本。

排序理由 该条目描述了一个新颖的系统及其在历史事件上的评估,发布在 arXiv 上。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Log-Insight 为华为自动化微服务事件诊断

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该条目描述了一个新颖的系统及其在历史事件上的评估,发布在 arXiv 上。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
68 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yanbin Zhang ·

    Log-Insight:通过神经符号日志分析实现微服务事件诊断自动化

    Diagnosing production incidents in large-scale microservice systems is time-critical for Site Reliability Engineers (SREs). A single 30-minute incident window in our deployment can generate over two million log lines--approximately 1.2 billion characters, far exceeding standard L…