Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis

ArXi:2603.23890v1 Announce Type: cross As the modern microservice architecture for cloud applications grows in popularity, cloud services are becoming increasingly complex and vulnerable to misconfiguration and software bugs. Traditional approaches rely on expert input to diagnose and fix microservice anomalies, which lacks scalability in the face of the continuous integration and continuous deployment (CI/CD) paradigm. Microservice rollouts, containing new software installations, have complex interactions with the components of an application.