BARO: Robust Root Cause Analysis for Microservices via Multivariate
Bayesian Online Change Point Detection
BARO: Robust Root Cause Analysis for Microservices via Multivariate
Bayesian Online Change Point Detection
Detecting failures and identifying their root causes promptly and accurately is crucial for ensuring the availability of microservice systems. A typical failure troubleshooting pipeline for microservices consists of two phases: anomaly detection and root cause analysis. While various existing works on root cause analysis require accurate anomaly detection, there is …