Infrastructure-as-Code Approach for IT-Infrastructure

The present study is of great significance in the context of the rapid advancements being made in information technologies, particularly in relation to the increasing complexity of distributed IT infrastructures, which necessitate automated configuration in order to ensure efficient operation. The research examines the Infrastructure-as-Code (IaC) approach with a view to providing a more profound understanding of how modern IT systems can be managed, deployed, and scaled in an effective manner. The findings will establish a solid foundation for exploring infrastructure automation and related as-code methodologies, thus supporting future research and innovation. The study's findings contribute to the enhancement of technology management practices, empowering organizations to develop more robust, reliable, and adaptable IT solutions. In essence, the study addresses the challenges of managing complex digital environments while promoting scalability, consistency, and efficiency in modern IT operations.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10971160
Citations
3
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
6.85
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article

Infrastructure-as-Code Approach for IT-Infrastructure

S.A. Bykov, Vladimir A. Shiboldenkov
3 citations
Business Process Modeling and Analysis
6.85
article

Infrastructure-as-Code Approach for IT-Infrastructure

S.A. Bykov, Vladimir A. Shiboldenkov
article en
3 citations

Abstract

The present study is of great significance in the context of the rapid advancements being made in information technologies, particularly in relation to the increasing complexity of distributed IT infrastructures, which necessitate automated configuration in order to ensure efficient operation. The research examines the Infrastructure-as-Code (IaC) approach with a view to providing a more profound understanding of how modern IT systems can be managed, deployed, and scaled in an effective manner. The findings will establish a solid foundation for exploring infrastructure automation and related as-code methodologies, thus supporting future research and innovation. The study's findings contribute to the enhancement of technology management practices, empowering organizations to develop more robust, reliable, and adaptable IT solutions. In essence, the study addresses the challenges of managing complex digital environments while promoting scalability, consistency, and efficiency in modern IT operations.

Bauman Moscow State Technical University (RU)
Openalex Percentile: Top 4%
Business Process Modeling and Analysis
6.85
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