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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Comparative analysis of migration between cloud providers (AWS and Google Cloud) as a cost optimization strategy for high-load systems

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  • Comparative analysis of migration between cloud providers (AWS and Google Cloud) as a cost optimization strategy for high-load systems

Evgeny Bereza *

Head of Software, Gatewise, Marhashvan, Israel.

Research Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 4225-4231

Article DOI: 10.30574/wjarr.2025.26.1.1352

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1352

Received on 01 April 2025; revised on 07 April 2025; accepted on 14 April 2025

The study focuses on conducting a comparative analysis of the migration process between two leading cloud service providers: Amazon Web Services and Google Cloud, considered as means of cost optimization for high-load systems. The aim of the work is to identify key economic and technical determinants defining the total cost of ownership (TCO) when changing cloud providers, as well as to build a substantiated decision-making model for carrying out such migration. As a methodological basis, analysis of scientific articles and industry reports for the period 2021–2025, comparison of pricing models and performance metrics of core cloud services (compute instances, data storage systems, network components) are used. The results of the study demonstrate that despite significant initial investments in migration, including costs for data egress and architectural refinements, the strategic transfer of workloads to the platform with a more favorable pricing structure (in particular, to Google Cloud with its Sustained Use Discounts program) is capable of ensuring a reduction in operational expenses in the long term. Based on the obtained data, a decision-making matrix is proposed, systematizing the criteria for selecting the target cloud platform depending on the specifics of the workload, expense profile and quality-of-service requirements. The presented conclusions and toolkit will be useful for technical directors, heads of IT departments and cloud solution architects in strategic planning and optimization of IT infrastructure.

Cloud Migration; Cost Optimization; High-Load Systems; AWS; Google Cloud; Total Cost Of Ownership; Data Egress; Multi-Cloud Strategy; FinOps; Vendor Lock-In.

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1352.pdf

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Evgeny Bereza. Comparative analysis of migration between cloud providers (AWS and Google Cloud) as a cost optimization strategy for high-load systems. World Journal of Advanced Research and Reviews, 2025, 26(1), 4225-4231. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1352

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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