Anomaly Detection of Microservices Runtime Performance – Mgr. Richard Lacek
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 …moreAbstract:
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
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.
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Computer systems, communication and security / Software systems
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