Intelligent Multi-Agent AI and DevOps-Oriented Cloud Architecture for Autonomous Enterprise Operations and Infrastructure Optimization
DOI:
https://doi.org/10.15680/c22pqh45Keywords:
Multi-Agent Systems, Artificial Intelligence, DevOps, Cloud Architecture, Autonomous Systems, Infrastructure Optimization, Enterprise Automation, Machine Learning, Continuous Integration, Digital TransformationAbstract
The increasing complexity of enterprise IT infrastructures has driven organizations to adopt advanced technologies that enable automation, scalability, and intelligent decision-making. Cloud computing and DevOps practices have become essential components of modern enterprise systems, enabling rapid application development, continuous integration, and scalable deployment environments. However, managing large-scale cloud infrastructures and enterprise operations still requires significant manual intervention and monitoring. The integration of intelligent multi-agent artificial intelligence (AI) systems with DevOps-oriented cloud architectures offers a promising solution for achieving autonomous enterprise operations and infrastructure optimization.
This research proposes an intelligent multi-agent AI framework integrated with DevOps-based cloud architecture to support autonomous monitoring, decision-making, and resource management across enterprise platforms. Multi-agent systems operate collaboratively to monitor system performance, detect anomalies, optimize resource allocation, and automate infrastructure management tasks. DevOps practices such as continuous integration, continuous delivery, infrastructure as code, and automated testing are incorporated into the architecture to enable efficient software development and deployment cycles.
The proposed architecture aims to enhance system resilience, operational efficiency, and scalability in enterprise environments. Additionally, AI-driven agents utilize machine learning techniques to analyze operational data, predict system failures, and optimize infrastructure performance. The study highlights the potential benefits and challenges associated with implementing intelligent autonomous enterprise architectures within modern cloud-based digital ecosystems.
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