Machine learning assisted root cause analysis for computer networks

A system for performing root cause analysis for a plurality of network devices, the system comprising one or more processors implemented in circuitry and configured to:

• receive telemetry data from the plurality of network devices;
• apply an artificial intelligence (AI) anomaly detection model, trained on historical telemetry data to detect anomalies in the historical telemetry data, to the received telemetry data to detect one or more anomalies in the received telemetry data;
• and
• apply an AI root cause analysis model, trained on historical data, to the anomalies to determine a root cause of an issue causing the one or more anomalies.

A computer-readable storage medium having stored thereon instructions that, when executed, cause a processor to:

• receive telemetry data from the plurality of network devices;
• apply an artificial intelligence (AI) anomaly detection model, trained on historical telemetry data to detect anomalies in the historical telemetry data, to the received telemetry data to detect one or more anomalies in the received telemetry data;
• and
• apply an AI root cause analysis, trained on historical data, to the anomalies in order to determine a root cause of an issue causing the one or more anomalies.