AI-DRIVEN AGENTS FOR PROACTIVE CLOUD INFRASTRUCTURE MONITORING

Abstract

Cloud computing infrastructure has altered modern IT environments, yet it presents significant monitoring challenges due to its distributed and dynamic nature. While traditional monitoring approaches struggle with scalability and proactive issue detection, AI-driven monitoring agents offer a transformative solution. These intelligent systems leverage advanced machine learning techniques for anomaly detection, predictive scaling, and automated remediation. This article explores the capabilities, architecture, and benefits of AI-driven monitoring solutions, including their implementation in data collection, pattern recognition, and security enhancement. The article shows current challenges and future directions in AI-driven cloud monitoring, highlighting the importance of data quality, model explainability, and standardized frameworks for successful deployment.