Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice

Ren, Rui; Wang, Yang; Liu, Fengrui; Li, Zhenyu; Xie, Gaogang

doi:10.1109/iwqos57198.2023.10188773

Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice

Existing anomaly detection approaches based on deep-learning just could simultaneously dig out key information from two dimensions in the traces, metrics or logs. Besides, they just output simple binary result, which ignores the key artificial statement information in the log. In this paper, we p…