Anomaly detection in microservice environments using distributed tracing data analysis and nlp

HIGHLIGHTS

SUMMARY

    The proposed diagnostic approach works by collecting sequences of events during spans using the Linux Trace Toolkit Next Generation (LTTng), sending them to the detection module, and eventually analyzing the outputs of the model in Trace Compass. The authors developed a handcrafted data extraction module in Trace Compass to construct the spans using the request/response events tag. Without such visualizations, manually tracking the performance of systems within low-level tracing data, possibly including thousands of events from different spans, is indeed a very exhausting task.. The authors used precision, recall, and F_score instead . . .

     

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