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An Integrated Observability Intelligence Framework: Bridging Semantic Data Modeling, Caching, and LLM-Powered Multi-Agent Root Cause Analysis

2026-05-22

Abstract excerpt

<title>Abstract</title> <p>Modern cloud-native systems generate heterogeneous observability data at unprecedented scale, yet two critical gaps persist in operational intelligence. First, distributed analytical consumers independently reconstruct metric definitions from physical storage schemas, producing inconsistent results across dashboards, pipelines, and LLM-based incident analysis systems. Second, automated...

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Literature Corpus work
5a3e6810-bd87-5f94-9240-07c9105ed8d3
DOI
10.21203/rs.3.rs-9777036/v1
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An Integrated Observability Intelligence Framework: Bridging Semantic Data Modeling, Caching, and LLM-Powered Multi-Agent Root Cause AnalysisDOI 10.21203/rs.3.rs-9777036/v1
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