IBM Z Anomaly Analytics

IBM Z Anomaly Analytics delivers intelligent anomaly detection for IT Operations to help clients avoid costly incidents. The solution uses machine learning and builds a model representing normal operations of a clients environment by analyzing both metrics and log data. Real-time metric and log data is then compared against their associated models to proactive detect and alert on anomalous behavior - all without the need of Z domain knowledge and static thresholds.

Benefits

• Proactive incident detection

• Reduced mean-time-to-detect

• AI insights without need for data scientists

• Embedded Z domain knowledge