Design of an Intelligent Agent for Autonomous Microservice Optimization in Enterprise Systems

dc.contributor.authorVanin, Danylo en_US
dc.date.accessioned2026-02-09T13:35:55Z
dc.date.available2026-02-09T13:35:55Z
dc.date.issued2025
dc.description.abstractThis study introduces a conceptual framework for an intelligent agent designed to autonomously optimize microservice-based enterprise systems. Microservice architecture [3] serves as the basis for scalable and modular enterprise solutions, supporting agile DevOps practices and enabling independent deployment, updating, and management of services. While these features accelerate release cycles and improve maintainability, they also create persistent operational and architectural challenges [4, p. 633-634] that often necessitate manual intervention. These issues are especially significant in corporate settings, where requirements are dynamic and influenced by organizational, legal, and economic factors. In response, the software engineering field is increasingly exploring AI-driven approaches [1, p. 12]. Although machine learning has been utilized for anomaly detection [2], auto-scaling, and traffic routing, there remains a gap in the development of fully autonomous agents capable of intelligent architectural analysis and modification. The proposed agent addresses these challenges through a modular architecture that includes monitoring, decision-making, execution, and safety verification modules. The decision component employs reinforcement learning and formal quality models to balance objectives such as performance, cohesion, and latency, while maintaining adherence to system constraints. This design seeks to reduce architectural drift, improve service modularity, and support adaptive system behavior in real time. The agent is intended as a foundational element for intelligent DevOps and self-optimizing enterprise software systems. en_US
dc.identifier.citationVanin D. Design of an Intelligent Agent for Autonomous Microservice Optimization in Enterprise Systems / Vanin D. // Теоретичні та прикладні аспекти побудови програмних систем : праці 16 Міжнародної науково-практичної конференції, 23-24 листопада 2025 року, Київ / [за заг. ред. М. М. Глибовця, Т. В. Панченка та ін. ; Факультет інформатики Національного університету "Києво-Могилянська академія" та ін.]. - Київ : НаУКМА, 2025. - С. 53-54. en_US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/38299
dc.language.isoen en_US
dc.publisherНаціональний університет "Києво-Могилянська академія"uk_UA
dc.relation.sourceТеоретичні та прикладні аспекти побудови програмних систем : праці 16 Міжнародної науково-практичної конференції, 23-24 листопада 2025 року, Київuk_UA
dc.statusfirst published en_US
dc.subjectmicroservice architecture en_US
dc.subjectenterprise systems en_US
dc.subjectProximal Policy Optimization (PPO) en_US
dc.subjectformal modeling en_US
dc.subjectconference materials en_US
dc.titleDesign of an Intelligent Agent for Autonomous Microservice Optimization in Enterprise Systems en_US
dc.title.alternativeПроєктування інтелектуального агента для автономної оптимізації мікросервісів у корпоративних системахuk_UA
dc.typeConference materials en_US
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