What is the Difference Between UFM Telemetry, Enterprise and Cyber-AI?

UFM Telemetry is the basic layer, which can provide network validation tools, monitor network performance and status, capture and transmit real-time network telemetry information, application load usage, and system configuration, for further analysis in local or cloud databases.

UFM Enterprise is the intermediate layer, which adds enhanced network monitoring and management functions on top of UFM Telemetry. It can perform automatic network discovery and configuration, traffic monitoring, and congestion detection, as well as integration with mainstream job schedulers and cloud and cluster managers (such as Slurm and Platform LSF).

UFM Cyber-AI is the highest layer, which adds preventive maintenance and network security functions on top of UFM Telemetry and UFM Enterprise. It uses deep learning algorithms to learn the data center’s “heartbeat”, operation modes, status, usage, and workload network characteristics. It can build an enhanced telemetry information database and discover correlations between events. It can detect performance degradation, usage, and configuration changes, and provide alerts for abnormal system and application behavior and potential system failures.