Paper Title
Cross-Domain Expert in Designing AI-Driven Microservices
Article Identifiers
Registration ID: IJNRD_302874
Published ID: IJNRD2412298
: http://doi.one/10.1729/Journal.42790
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Keywords
Microservices, Artificial Intelligence (AI), Distributed Architectures, AI Lifecycle Management
Abstract
In recent times, architects have predicted a rise in the implementation of microservices, which aids in improving deployment and development processes. On the other hand, AI is taking over the workforce by overpowering activities that were once considered sophisticated and difficult, as well as rendering decisions. This leads us to the consequences of these two technologies being merged as they are able to completely change the way software is designed and comprehended. It analyzes, the impact of utilizing multi-domain skills to generate AI based microservices whilst focussing on the knowledge required to optimize the potential of AI models in integrated and distributed service-based architectures. In this paper, we discuss such core issues as model deployment, real-time synchronization, scaling, resilience and orchestration of AI processes in microservices. Using examples from data science, distributed systems, and DevOps, we propose a new design approach that facilitates microservices interaction and AI component integration. This technique includes the usage of effective practices of containerization, API policies, and AI lifecycle control to assist in the creation of robust, flexible architectures. Furthermore, in order to test the proposed method, it also investigates the applications and analysis of relevant case studies, showing its possible benefits in predictive forecasting, personalized suggestions, and abnormality detection. In this regard, this paper illustrates how the confluence of AI with microservices can create value for the firm by showing how different domains can be integrated to support new ways of doing business. Technologies that support intelligent scalable. The findings are intended to help all the developers, architects, and researchers who want to construct the next generations of microservices systems harnessing the power of AI.
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How To Cite (APA)
Karri Sairamakrishna BuchiReddy, Bojja Ravi Kumar, AnnapuReddy Narasimha Reddy, & Nutakki Surendra Kumar (December-2024). Cross-Domain Expert in Designing AI-Driven Microservices. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(12), c820-c824. http://doi.one/10.1729/Journal.42790
Issue
Volume 9 Issue 12, December-2024
Pages : c820-c824
Other Publication Details
Paper Reg. ID: IJNRD_302874
Published Paper Id: IJNRD2412298
Research Area: Science and Technology
Author Type: Foreign Author
Country: Michigan, Michigan, United States
Published Paper PDF: https://ijnrd.org/papers/IJNRD2412298.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2412298
Crossref DOI: http://doi.one/10.1729/Journal.42790
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