How Can We Help?
You can view Machine Learning (ML) Insights within an Early Warning/Problem report to understand key metrics associated with the services displayed in the timeline.
To do so, follow these steps:
1. Click on the ML Insights option in an Early Warning/Problem report.
HEAL then presents a list of the top ten most important metrics connected with the services in your timeline.
ML Insights
| Field | Description |
|---|---|
| 1 – Metric | The name of the key performance metric. |
| 2 – Instance/Transaction Name | The specific instance or transaction identifier is linked to the metric. |
| 3 – Service | The name of the service associated with the metric. |
| 4 – Last Violation | The timestamp marking when the last violation occurred. |
| 5 – Value | The actual and expected values captured at the time of the last violation. |
2. If there are no significant metrics associated with the services on the timeline, HEAL displays a notification indicating this.
ML Insights