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Event Correlation in HEAL automatically links related alerts and anomalies into a single, actionable incident. Instead of overwhelming teams with raw event noise, HEAL intelligently groups events based on patterns, topology, and telemetry to reduce alert fatigue and improve response efficiency.
How Event Correlation Works
- HEAL continuously analyzes telemetry, anomalies, and KPI trends.
- When patterns are detected, events are stitched together into a single correlated incident.
- Duplicate, redundant, or low-impact events are automatically filtered.
- HEAL displays these incidents in a correlation graph with event sequences and root cause paths.
The goal is to surface meaningful incidents instead of isolated or redundant alerts.
Using Event Graph
The Event Graph appears below the root cause summary in the incident page. It shows the flow and relationship of all events linked to the current incident.

You can:
- Hover over any node to see event descriptions, KPI values, and event scores
- Identify severity – Events with high impact are highlighted accordingly
- View event sequence – Helps understand how anomalies evolved.

To expand the view for deeper investigation:
- Click the three dots (⋯) icon in the upper-right corner of the Event Graph
- Select Expand
- The full graph opens in a wide view

Use this expanded graph to inspect long event chains and cross-service anomalies in detail.

Hover on the graph to view the detailed correlation data.

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