Year: 2025
Type: article
Abstract: The article focuses on various approaches and methods for deploying microservices in the cloud, as well as the specifics of their application for hosting microservices in a hybrid cloud environment for learning management systems. The relevance of the study consists in the problem that migrating high-load learning management systems (LMS) with numerous integration links to other services to the cloud is a complex task that is difficult to be solved using existing methods. LMS’es such as Moodle, Canvas LMS, Forma LMS, and others are often used to organize the educational process in Ukrainian educational institutions. One of the most popular LMS in Ukraine is Moodle, which is used by many higher education institu-tions and other educational establishments. Many LMS have extensive integration with other resources of the educational institution, such as library resources, software development tools, or even proctoring systems. The overall server information system of educational insti-tutions can be distributed across different servers or clouds and proper solutions for this pro-cess should be found. The aim of study is developing a solution for organizing data flows in the process of deploying microservices using various methods including the features of educa-tional information systems. Using the structural analysis method, a data flow solution for the automated deployment of microservices in learning management systems within a hybrid cloud environment created. Also various methods for deploying microservices in the cloud were examined, both practical and scientific, comparing their positive and negative effects. Key metrics for assessing network availability for microservice deployment have been identi-fied. The proposed data flow solution for the automated deployment of microservices in a hy-brid cloud provides ways to improve microservice distribution methods giving users sufficient control over the process including features of learning management systems.
Source: System technologies
Authors: I.P. Malinich, Y.V. Ivanchuk
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409699192