This paper synthetically presents the SYRROCA (SYstem Radiography and ROot Cause Analysis) network automation framework at the state of the art, and details its experimental platform sufficiently enough to understand its technical demonstration. The framework aims to learn nominal operating conditions of a softwarized network service and characterize anomalies in real-time, while offering a compact system state representation called radiography. This representation can provide to operational teams with a real-time insight on anomalies at physical and virtualized layers. The related technical demonstration showcases how SYRROCA can detect real-time anomalies of different nature on a containerized vIMS (virtual IP Multimedia Subsystem) service managed by Kubernetes.