Arman Process Journal (APJ)

Abstract Rapid development of cloud computing technologies and a significant increase in demand for scalable software systems has forced organizations to review their distributed systems architecture .traditional monolithic architecture , despite its initial efficiency , is faced with serious challenges in the field of maintenance , scalability , and independent deployment because of the strong connection between components .this paper reviews new approaches to improve distribution systems with focus on microservice architecture .in this research , a comprehensive four phase framework ( discovery and analysis , service identification , design and implementation , and implementation ) is presented that guides the migration process from integrated architecture to microservice systematically .the proposed framework combines static and dynamic analyses of support system , using graph - based learning techniques to identify the boundaries of service , and use architecture patterns , enables organizations to experience successful migration by maintaining service quality and reducing operational risks .evaluating the framework on a real financial system ( UVT ) shows that the application of the proposed approach reduces the response time by 42 % , reduces the error rate to less from 0.5 % and improves the error recovery time by 65 % .this research presents practical guidelines and evaluation of existing methodologies , a way for researchers and software engineers in the field of migration to microservice architecture.