Bachelorarbeit BCLR-2022-13

Bibliograph.
Daten
Rodestock, Tobias: Visualizing and explaining the scaling behavior of self-adaptive microservice systems in kubernetes.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Bachelorarbeit Nr. 13 (2022).
46 Seiten, englisch.
Kurzfassung

Context. Modern microservice systems are made self-adapting to help manage increasing complexity. Problem. Self-adapting microservice systems offer little insight in their scaling behavior. This makes debugging and verification of their behavior difficult and time consuming. Objective. Explore how to offer better insight and visualization of the scaling behavior of selfadaptive microservice systems. Detect anomalies in the behavior and report them to an issue management system. Method. Setting up a test system by making an existing microservice system self-adaptive and developing a concept and implementing a prototype that can visualize and explain the scaling behavior of the test system. Result. A useful concept for visualizing the autoscaling behavior of a self-adaptive microservice system has been created. In the evaluation many experts state that it helps to solve different problems they face when trying to understand the autoscaling behavior of a self-adaptive microservice system. Conclusion. The developed concept is a good starting point for further improvements in visualizing and explaining the autoscaling behavior of a self-adaptive microservice system.

Volltext und
andere Links
Volltext
Abteilung(en)Universität Stuttgart, Institut für Softwaretechnologie, Softwarequalität und -architektur
BetreuerBecker, Prof. Steffen; Speth, Sandro
Eingabedatum31. Mai 2022
   Publ. Informatik