PRAXIS system uses LLMs to automate root-cause analysis of cloud incidents

Researchers have developed PRAXIS, a new system designed to diagnose and resolve cloud incidents caused by code or configuration errors. PRAXIS utilizes an LLM-driven approach to traverse service dependency graphs and program dependence graphs, enabling more accurate root-cause analysis. In evaluations, PRAXIS demonstrated a significant improvement in accuracy compared to existing methods while also reducing computational resource usage. AI

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IMPACT Introduces a novel LLM-driven approach for automated root-cause analysis, potentially reducing cloud incident resolution time and cost.

RANK_REASON This is a research paper introducing a new system for root-cause analysis in cloud incidents.

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• PRAXIS
• LLM
• arXiv
• Shengkun Cui

• paper
• product