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Mgr. Richard Lacek

Master's thesis

Anomaly Detection of Microservices Runtime Performance

Anomaly Detection of Microservices Runtime Performance
Abstract:
Tato práca hodnotí aplikáciu detekcie anomálií na identifikáciu problémov súvisiacich s výkonom v systémoch založených na mikroslužbách. V porovnaní s tradičnou monolitickou architektúrou rozdelenie systému na nezávisle nasadzované mikroslužby prináša ďalšiu komplexnosť v oblasti monitorovania a sledovania systému, čo môže viesť k väčšej komplexnosti detekcie anomálií vo výkone. V tejto práci popisujeme …more
Abstract:
This thesis evaluates the application of anomaly detection to identify performance-related issues in microservices-based systems. Compared with traditional monolithic architecture, distributing the system into independently deployed microservices brings additional complexity to monitoring and observability of the system, which may also lead to further complexity of performance anomaly detection. Several …more
 

Keywords

Microservices Performance anomalies Anomaly detection Tracing dynamic behaviour
 
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2024
Identifier: https://is.muni.cz/th/qhb4q/

Thesis defence

  • Date of defence: 18. 6. 2024
  • Supervisor: PhD Bruno Rossi
  • Reader: RNDr. Ing. Pavel Šeda, Ph.D.

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Masaryk University

Faculty of Informatics

Master programme / field:
Computer systems, communication and security / Software systems

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