Development of an automated system for testing a cloud service for deploying virtual machines using modern monitoring tools
- Authors: Marchenko A.G.1, Shchemelinin D.A.1
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Affiliations:
- Issue: No 2 (2023)
- Pages: 29-39
- Section: Articles
- URL: https://ogarev-online.ru/2454-0714/article/view/359460
- DOI: https://doi.org/10.7256/2454-0714.2023.2.40755
- EDN: https://elibrary.ru/TEVFBN
- ID: 359460
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Abstract
The object of this study is a service for managing virtual machines in a cloud environment. When developing and operating such a service, it becomes necessary to assess its availability and reliability for compliance with the selected quality level that the client can count on. This paper presents a developed system that allows testing the availability of a cloud service for managing virtual machines. The method of integration with the existing monitoring system at the enterprise using open source software in order to reduce the cost of development and operation is considered. A test case for deploying and removing a virtual machine using a graphical user interface has been developed and implemented, and triggering criteria have been defined. The requirements for the architecture and implementation of the system based on the production statistics of the virtual machine creation service using the Prometheus monitoring system are collected and analyzed. The novelty of the research lies in the development of a new method of testing a cloud service for managing virtual machines in order to increase its reliability and availability. Based on this method, a system for testing virtual machines is described and implemented, as well as a method for integration into the monitoring system of the Intel cloud service. During the operation of cloud environments with the help of this system, problem areas were identified in the architecture of the virtual machine creation service, which made it possible to optimize the system operation in a timely manner. The described method is an effective way to test cloud services, and can also be used to analyze and improve reliability and availability.
About the authors
Andrei Gennad'evich Marchenko
Email: mar4enko.ag@gmail.com
ORCID iD: 0009-0001-9276-3907
Dmitry Aleksandrovich Shchemelinin
Email: dshchmel@gmail.com
ORCID iD: 0000-0003-3032-130X
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