Anomalies in Microservice Architecture (train-ticket) based on version configurations

The work contains ten datasets containing monitoring data (logs, Jaeger Traces and Prometheus KPI data). The datasets contain monitoring data from train-ticket, a benchmark system for microservices. The dataset includes a short description with explanations of identified anomalies.

The structure of the folder is as follows:

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Each folder stores the respective data:

Logs:

original log file: LOGS___.txt

parsed log files required for Loglizer (anomaly detection technique):

LOGS___.txt_structured.csv

LOGS___.txt_templates.csv

KPI Data: Monitoring___

Traces: Traces___