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

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.

@article{wang2025_2505.21419,
  title={ Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs },
  author={ Yifan Wang and Kenneth P. Birman },
  journal={arXiv preprint arXiv:2505.21419},
  year={ 2025 }
}