Autoregressive Multimodal Anomaly Detection with Large Language Models for Microservice Systems

Microservice systems have become a dominant architecture for large-scale cloud applications, enabling rapid deployment and elastic scaling. However, ensuring the reliability and availability of microservice systems critically relies on effective anomaly detection, as failures and performance anomali