Classifying the Reliability of the Microservice Architectures

Ramsingh, A., Singer, J. and Trinder, P. (2022) Classifying the Reliability of the Microservice Architectures. In: 18th International Conference on Web Information Systems and Technologies (WEBIST 2022), Valletta, Malta, 25-27 October 2022, pp. 21-32. ISBN 9789897586132 (doi: 10.5220/0011381700003318)

Abstract

Microservices are popular for web applications as they offer better scalability and reliability than monolithic architectures. Reliability is improved by loose coupling between individual microservices. However in production systems some microservices are tightly coupled, or chained together. We classify the reliability of microservices: if a minor microservice fails then the application continues to operate; if a critical microservice fails, the entire application fails. Combining reliability (minor/critical) with the established classifications of dependence (individual/chained) and state (stateful/stateless) defines a new three dimensional space: the Microservices Dependency State Reliability (MDSR) classification. Using three web application case studies (Hipster-Shop, Jupyter and WordPress) we identify microservice instances that exemplify the six points in MDSR. We present a prototype static analyser that can identify all six classes in Flask web applications, and apply it to s even applications. We explore case study examples that exhibit either a known reliability pattern or a bad smell. We show that our prototype static analyser can identify three of six patterns/bad smells in Flask web applications. Hence MDSR provides a structured classification of microservice software with the potential to improve reliability. Finally, we evaluate the reliability implications of the different MDSR classes by running the case study applications against a fault injector.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Singer, Dr Jeremy and Trinder, Professor Phil and Ramsingh, Mr Adrian
• Authors: Ramsingh, A., Singer, J., and Trinder, P.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 2184-3252
• ISBN: 9789897586132
• Copyright Holders: Copyright © 2022 The Authors
• Publisher Policy: Reproduced with the permission of the publisher

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