Performance Diagnosis for Microservice-Based Systems via Intra-/Inter-Trace Analysis

Diagnosing performance issues is a slow and labor-intensive process, especially for modern complex microservice systems. In this paper, we propose a novel performance diagnosis framework for microservice application based on intra-/inter-trace analysis. For a slow request to be diagnosed, our approach first determines whether the anomaly is caused by on-path service by aggregating and comparing normal/abnormal traces. Considering that some performance problems may actually be caused by off-path services which do not lie in the path of the abnormal traces, our approach further identifies traces which have temporal relation with the abnormal trace by proposed inter-trace analysis technique, and locates the root cause based on traffic analysis.