Incident Root Cause Analyzer

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Provides a structured methodology for investigating complex production incidents in distributed systems, specifically focusing on cascading failures, resource contention, and backpressure propagation. It streamlines the analysis process by automating data normalization, calculating anomaly scores across various metrics, and testing specific failure hypotheses against observed evidence. By generating detailed causal chains and visualizations, it enables engineering teams to produce rigorous, evidence-based post-mortem reports and actionable architectural recommendations.

Características Principales

• Automated generation of visual evidence charts and Mermaid evolution diagrams
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• Temporal pattern analysis to establish causal order and cascade sequences
• Standardized reporting for executive summaries and technical recommendations
• Statistical anomaly detection using z-score and IQR methods
• Evidence-based hypothesis testing for backpressure and resource starvation

Casos de Uso

• Generating evidence-backed Root Cause Analysis (RCA) reports
• Analyzing cascading failures across distributed microservices
• Investigating performance degradation and resource contention issues