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April 27, 2026Open Access

Automating Root Cause Analysis: An Agentic Framework for Evidence-Led Reasoning over Distributed Observability

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Authors

AGAchin GuptaDMDivya Mahajan

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Overview

Randomized trial demonstrates effective root cause analysis in distributed systems, suggesting improved observability practices.

Key Points

  • The aim is to develop an autonomous root cause analysis system that integrates deterministic processing and budgeted reasoning.
  • Developed a reference architecture for RCA using deterministic algorithms and LLMs.
  • Implemented a hybrid reasoning architecture for investigation depth adjustment.
  • Utilized Model Context Protocol for modular observability integration.
  • Achieved reliable RCA through deterministic scoring without LLMs in the signal path.
  • Validated hypotheses within a structured agentic loop (max 5 iterations).
  • Demonstrated significant enhancements in causal correlation and detection in microservices.

Cite This Study

Gupta et al. (2026) studied this question.

synapsesocial.com/papers/69eefdb5fede9185760d4642https://doi.org/10.5281/zenodo.19720128
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