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  5. Risk-Oriented Analysis and Mitigation Strategies for SOA-to-MSA Migration

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Article
en
2025

Risk-Oriented Analysis and Mitigation Strategies for SOA-to-MSA Migration

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en
2025
Vol 79
Vol. 79
DOI: 10.1051/itmconf/20257901017

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Vijay Singh
Vijay Singh

Texas A&m University - College Station

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Sandeep Sharma
Vijay Singh

Abstract

Microservices Architecture (MSA) signifies a critical approach in the efforts by the organizations to improve the agility, scalability and effectiveness of their systems in contemporary enterprise environments. Nonetheless, this change is associated with technical, organisational, and process-related challenges that introduce significant risks, which can result in project abandonment, performance degradation, or migration failure. This paper presents a comprehensive qualitative risk-oriented analysis. A systematic literature review covering the period from 2018 to 2024 and qualitative risk analysis are used to assess the impact and probability of each challenge and to create a prioritised risk matrix with an extensive mitigation structure. Key findings are highlighted as critical risks, including shared database dependencies, lack of DevOps maturity, and organisational resistance (risk score = 9) and high priority risks that include security vulnerabilities and insufficient monitoring (risk score = 6). Suggested mitigation strategies include domain-driven design, event-driven architecture, the CQRS pattern, CI/CD pipeline enhancement, and structured change management schemes. Presenting a coherent risk prioritisation model, this study provides a strong foundation for architects, technology leaders, and researchers to develop their resilient SOA-to-MSA migration strategies, thereby contributing practical value to the software engineering literature.

How to cite this publication

Sandeep Sharma, Vijay Singh (2025). Risk-Oriented Analysis and Mitigation Strategies for SOA-to-MSA Migration. , 79, DOI: https://doi.org/10.1051/itmconf/20257901017.

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Publication Details

Type

Article

Year

2025

Authors

2

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1051/itmconf/20257901017

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