Architectural and Organizational Dimensions of Legacy System Migration to Modern Cloud-Native Platforms: A Critical Examination of ASP.NET Core Evolution, Hybrid Modernization Strategies, and Socio-Technical Implications

Authors

  • Samuel J. Lockwood Department of Computer and Systems Sciences, Stockholm University, Sweden Author

Keywords:

Legacy system migration, ASP.NET Core, cloud-native architecture, digital transformation

Abstract

Legacy system migration has emerged as one of the most complex and consequential challenges in contemporary information systems engineering. As organizations confront mounting pressures arising from digital transformation, regulatory compliance, cybersecurity threats, and escalating operational costs, the modernization of entrenched software systems has become unavoidable. This research article presents an extensive and theoretically grounded investigation into the architectural, methodological, and organizational dimensions of legacy system migration, with particular emphasis on the evolution from ASP.NET to ASP.NET Core as a representative case of platform-level transformation. Drawing on a broad and interdisciplinary body of literature, the study situates ASP.NET Core within wider discourses on cloud-native architectures, microservices, hybrid migration strategies, automation, and risk-based decision-making. Central to the analysis is the recognition that technical migration is inseparable from organizational culture, governance models, and human capital considerations. The article adopts a qualitative, interpretive research design grounded in comparative literature synthesis and conceptual analysis. The findings highlight that successful migration outcomes are contingent upon aligning architectural decisions with socio-technical realities, including legacy knowledge embedded in monolithic systems, institutional resistance to change, and evolving skill requirements. Particular attention is given to tooling ecosystems, implementation strategies, and incremental modernization pathways articulated in recent scholarship, including the evolution of ASP.NET Core as a modular, cross-platform, and performance-oriented framework (Valiveti, 2025). The discussion advances a multi-layered theoretical model that integrates architectural evolution, organizational readiness, and strategic governance, while also addressing limitations and unresolved debates in the field. By offering a deeply elaborated and critical perspective, this article contributes to both academic scholarship and practitioner discourse on sustainable and resilient legacy system modernization.

References

1. Saxena, D., Gupta, R., & Singh, A. K. (2021). A survey and comparative study on multi-cloud architectures: Emerging issues and challenges for cloud federation.

2. Blake, P., & White, G. (2021). Legacy system migration in financial institutions: A case study approach.

3. Valiveti, S. S. S. (2025). Evolution of ASP.NET to ASP.NET Core: Tools, strategies, and implementation approaches.

4. Thomas, K., & Powell, J. (2022). The impact of organizational culture on legacy system migration.

5. Green, J., & Miller, T. (2021). Improving legacy system migration with machine learning techniques.

6. Peterson, N., & Reed, F. (2020). Comparing risk management strategies for legacy system migration.

7. Newman, S. (2019). Monolith to microservices: Evolutionary patterns to transform your monolith.

8. Chen, Y., & Xu, Z. (2021). Understanding the challenges of legacy system migration: A review of best practices.

9. Harrison, R., & Brooks, D. (2021). Automation in legacy system migration: Challenges and opportunities.

10. Zhao, J., & Wang, T. (2020). Agile methodology in legacy system migration: A hybrid approach.

11. Liu, Y., & Zhang, Q. (2020). Cloud migration strategies for legacy systems: An overview of migration tools and techniques.

12. Robinson, P., & Smith, L. (2021). Risk-based decision making in legacy system migration.

13. Parker, S., & Nguyen, M. (2022). Hybrid approaches to legacy system modernization: Combining waterfall and agile models.

14. Ponnusamy, S., & Eswararaj, D. (2023). Navigating the modernization of legacy applications and data: Effective strategies and best practices.

15. Shivakumar, S. (2023). Elements of digital transformation.

16. Singh, A., & Aggarwal, A. (2023). Artificial intelligence-enabled microservice container orchestration to increase efficiency and scalability for high-volume transaction systems in cloud environments.

17. Yarygina, T., & Bagge, A. H. (2018). Overcoming security challenges in microservice architectures.

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Published

2025-11-30

Issue

Vol. 5 No. 11 (2025): Volume 05 Issue 11

Section

Articles

License

Copyright (c) 2025 Samuel J. Lockwood

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Samuel J. Lockwood. (2025). Architectural and Organizational Dimensions of Legacy System Migration to Modern Cloud-Native Platforms: A Critical Examination of ASP.NET Core Evolution, Hybrid Modernization Strategies, and Socio-Technical Implications. International Journal of Advance Scientific Research, 5(11), 224-231. https://sciencebring.com/index.php/ijasr/article/view/1103

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Published

2025-11-30

How to Cite

Architectural and Organizational Dimensions of Legacy System Migration to Modern Cloud-Native Platforms: A Critical Examination of ASP.NET Core Evolution, Hybrid Modernization Strategies, and Socio-Technical Implications . (2025). SciQuest Research Database, 5(11), 224-231. https://sciencebring.org/index.php/sqrd/article/view/81

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