An Agentic LLM-based Architecture for Automated Anomaly Detection and Adaptive Remediation
Traditional cloud monitoring often relies on static remediation procedures that are difficult to adapt to dynamic and heterogeneous infrastructures. This paper proposes an agentic LLM-based architecture for adaptive remediation planning from confirmed cloud anomalies. The goal is not to replace anomaly detectors, but t...