International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Modernizing Legacy Systems through Cloud Migration and Enterprise Architecture Patterns |
|---|---|
| ABSTRACT | Legacy systems remain foundational to mission-critical operations across public and private sector organizations, yet they often inhibit scalability, interoperability, and innovation. Research has shown that poorly planned cloud migrations frequently replicate existing technical debt rather than eliminating it [1][2]. This paper presents a structured methodology for modernizing legacy systems through cloud migration, guided by established enterprise architecture patterns. By combining cloud-native principles, API-driven architecture, domain-driven design (DDD), and agile DevOps practices, the proposed approach enables incremental transformation while maintaining system stability. The paper highlights architectural strategies validated by prior research and industry frameworks, offering a practical roadmap for enterprise solution architects and technology leaders. |
| AUTHOR | MADHU BABU AMARAPPALLI Enterprise Solution Architect, Department of Artificial Intelligence & Engineering, Deloitte Consulting LLC, Mechanicsburg, Pennsylvania, USA |
| VOLUME | 156 |
| DOI | DOI: 10.15680/IJIRCCE.2024.1204374 |
| pdf/374_Modernizing Legacy Systems through Cloud Migration and Enterprise Architecture Patterns.pdf | |
| KEYWORDS | |
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