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International Journal of Multidisciplinary and Scientific
Emerging Research (IJMSERH)

|Peer Reviewed, Refereed & Open Access Journal | Follows UGC CARE Journal Norms and Guidelines|

|ISSN 2349-6037|Approved by ISSN, NSL & NISCAIR| Impact Factor: 9.274 |ESTD:2013|

|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|

Article

TITLE Modernizing Legacy Systems with AI Orchestration: From Monoliths to Autonomous Micro services
ABSTRACT Modern enterprises continue to rely on legacy monolithic systems that restrict scalability, agility, and innovation. With the emergence of artificial intelligence (AI) and cloud-native technologies, organizations can transform these rigid systems into adaptive, autonomous ecosystems. This paper presents a comprehensive framework for modernizing legacy applications using AI-driven orchestration, enabling a shift from monoliths to autonomous microservices. The proposed architecture leverages machine learning (ML)-based orchestration engines, predictive workload management, and self-healing pipelines to optimize performance and resilience. Through a combination of empirical analysis and simulation-based evaluation, the study demonstrates that AI orchestration can reduce deployment time by up to 60%, enhance fault tolerance by 45%, and minimize operational overheads. The paper also explores governance and security implications, offering a roadmap for organizations seeking to achieve intelligent, autonomous modernization at scale.
AUTHOR Lok Santhoshkumar Surisetty
PUBLICATION DATE 2025-11-28 12:32:02
VOLUME 10
ISSUE 4
PDF pdf/2022/10/47_Modernizing Legacy Systems with AI Orchestration From Monoliths to Autonomous Micro services.pdf
KEYWORDS

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