CCA: An ML Pipeline for Cloud Anomaly Troubleshooting

Cloud Causality Analyzer (CCA) is an ML-based analytical pipeline to automate the tedious process of Root Cause Analysis (RCA) IT events. The 3-stage composed 9 functional modules, including dimensionality reduction (feature engineering, selection and compression), embedded anomaly detection, ensemble 3 custom explainability causality models for Key Performance Indicators (KPI). Our challenge is: How apply a reduced (sub)set judiciously selected KPIs detect performance anomalies, their respective root causal culprits, all without compromising accuracy?