AI-infused monitoring with OMEGAMON AI Insights

OMEGAMON® AI Insights integrates advanced machine learning capabilities into Db2 performance monitoring to improve anomaly detection and predictive alerting. It analyzes statistical metrics collected by OMEGAMON, such as IFCID 369 data, to establish dynamic baselines and detect workload shifts and resource bottlenecks automatically.

By analyzing Db2 statistical data, AI Insights automatically detects anomalies, predicts potential performance issues, and reduces false alerts. This intelligent monitoring adapts to workload patterns across connection types like CICS, IMS, REST, and Batch, providing proactive alerts and focused insights. The solution integrates with customizable Grafana dashboards, enabling you to visualize AI-driven metrics and gain faster, more accurate problem detection.

With OMEGAMON AI Insights, you can improve operational efficiency and reduce mean time to resolution by leveraging data-driven, automated anomaly detection.

Key Features of AI-infused monitoring

• Dynamic Anomaly Detection: Machine learning models analyze historical and current Db2 statistics to detect deviations beyond normal workload variations.
• Predictive Alerting: Anticipate potential performance degradation through trend analysis and early warning alerts.
• Connection-Type Focus: Monitors frequent connection types such as CICS, IMS, REST, and Batch, enabling targeted anomaly detection.
• Reduced False Positives: AI Insights learns normal behavior patterns, filtering out transient spikes and reducing noisy alerts.
• Customizable Visualizations: Integrates with supplied Grafana dashboards, allowing customization for real-time AI-driven insights.

Benefits

• Accelerates problem identification and resolution.
• Reduces alert fatigue for support teams.
• Improves monitoring accuracy and efficiency.
• Optimizes CPU usage by focusing on meaningful anomalies.