Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs

• URL: http://arxiv.org/abs/2505.21419v2
• Date: Wed, 28 May 2025 02:17:40 GMT
• Title: Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs
• Authors: Yifan Wang, Kenneth P. Birman,
• Abstract summary: ARCA is a new multi-modal RAG LLM system that targets this domain.<n>Step-wise evaluations show that ARCA outperforms state-of-the-art alternatives.
• Score: 6.562660423743343
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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