Abstract: A method and a system for detecting anomalies that indicate potential system infrastructure problems is provided. The method includes: obtaining a first set of telemetry data that relates to a system infrastructure events, logs, and metrics that occur during a predetermined time interval; retrieving, from a memory, historical data that relates to system infrastructure telemetry; comparing the obtained first set of telemetry data with the retrieved historical data; detecting an anomaly based on a result of the comparing; and determining a potential system infrastructure problem based on the detected anomaly. The method may include using a machine learning algorithm to analyze the obtained first set of telemetry data; identify a pattern in the data; assign scores to the events included in the data; and use the pattern and/or the scores to detect the anomaly using an artificial intelligence (AI) model that is trained using the retrieved historical data.