AI-Driven Autonomous Cloud Operations: A Framework for Intelligent Infrastructure Management
DOI:
https://doi.org/10.15662/IJEETR.2025.0706045Keywords:
AI-Driven Cloud Operations, Autonomous Cloud Management, Intelligent Infrastructure Management, Artificial Intelligence, Machine Learning, Cloud Computing, AIOps, Predictive Analytics, Cloud Automation, Self-Healing Systems, Cloud Governance, Cloud Orchestration, Infrastructure Intelligence, Digital Transformation, Autonomous SystemsAbstract
The increasing complexity of cloud computing environments has created significant challenges in managing infrastructure performance, availability, security, and resource optimization. Traditional cloud operations rely heavily on manual monitoring, rule-based automation, and human intervention, which often struggle to keep pace with dynamic and large-scale cloud ecosystems. AI-Driven Autonomous Cloud Operations (AIOps) has emerged as a transformative approach for intelligent infrastructure management by integrating artificial intelligence, machine learning, predictive analytics, and automation into cloud operations. This research explores a framework for autonomous cloud operations that enables self-monitoring, self-healing, self-optimization, and self-governing capabilities within modern cloud infrastructures. The framework leverages real-time data analytics, anomaly detection, predictive maintenance, intelligent orchestration, and automated decision-making to improve operational efficiency and system reliability. Cloud-native technologies such as containers, microservices, orchestration platforms, and distributed computing environments further enhance the scalability and effectiveness of autonomous operations. The study examines the architectural components, implementation strategies, governance mechanisms, and performance benefits associated with AI-driven cloud management systems. Findings indicate that autonomous cloud operations significantly reduce operational costs, improve service availability, optimize resource utilization, and strengthen infrastructure resilience. The research concludes that AI-driven intelligent infrastructure management will become a foundational element of future cloud ecosystems, enabling organizations to achieve greater agility, scalability, and operational excellence.
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