arXiv · 2505.21419
Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs
Abstract
Today's cloud-hosted applications and services are complex systems, and a performance or functional instability can have dozens or hundreds of potential root causes. Our hypothesis is that by combining the pattern matching capabilities of modern AI tools with a natural multi-modal RAG LLM interface, problem identification and resolution can be simplified. ARCA is a new multi-modal RAG LLM system that targets this domain. Step-wise evaluations show that ARCA outperforms state-of-the-art alternatives.
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Yifan Wang, Kenneth P. Birman. 2025-05-27. Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs. https://doi.org/10.1145/3721146.3721958
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