AINeutralarXiv – CS AI · Jun 106/10
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Anomaly Detection and Root Cause Analysis for Microservice Systems
A research thesis addresses critical limitations in automated anomaly detection and root cause analysis (RCA) for microservice systems by introducing integrated methods that leverage multiple data types and establishing standardized benchmarking frameworks. The work combines anomaly detection with RCA, incorporates event data alongside traditional metrics, and eliminates dependency on service call graphs while advancing causal inference techniques.