Abstract
Migration from monolithic software systems to modern microservice architecture is a critical process for enhancing software systems’ scalability, maintainability, and performance. This study conducted a systematic literature review to explore the various methodologies, techniques, and algorithms used in the migration of monolithic systems to modern microservice architectures. Furthermore, this study underscored the role of artificial intelligence in enhancing the efficiency and effectiveness of the migration process by examining recent literature to identify significant patterns, challenges, and optimal solutions. In addition, it emphasizes the importance of migrating monolithic systems into microservices by synthesizing various research studies that enable greater flexibility, fault tolerance, and independent scalability. The findings offer valuable insights for both researchers and practitioners in the software industry. In addition, it provides practical guidance on implementing AI-driven methodologies in software architecture evolution. Finally, we highlight future research directions in providing an automation technique for the software architecture migration.
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Hassan, H., Abdel-Fattah, M. A., & Mohamed, W. (2024). Migrating from Monolithic to Microservice Architectures: A Systematic Literature Review. International Journal of Advanced Computer Science and Applications, 15(10), 104–116. https://doi.org/10.14569/IJACSA.2024.0151013
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