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: ___ 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___