| Summary |
You see:
- Information related to the incident, such as status, root cause metrics, session info, and so on. You also see information related to the entity that you are troubleshooting, such as start entity name, traffic and flows on the entity, and any previously available sessions count.
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| Time Range |
You see:
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| Analysis |
You see:
- Selected analysis type and level.
The single metric performs anomaly detection on the single metric time-series, and the multi metrics perform anomaly detection on the two correlated time-series metrics. You can see and select an analysis level, such as low, medium, or high. The analysis level determines how the system detects anomalies. The higher the level you select, the more the number of anomalies you see.
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| Relationships |
You see:
- Dependency graph of the selected entity for which you are troubleshooting.
The dependency graph shows all the related entities based on network, storage, and compute relations. You can select the entities in the dependency graph, and view information related to each selected entity. In the dependency graph, all the related entities are grouped in various categories, such as by VMs, Host, Flows, and so on. You can click the (+) icon to expand a group. You can also use sort by and group by function to see entities in a particular order in a group. The system shows all anomalies found in the dependency graph in red.
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| Metrics and Alerts |
You see:
- All the metrics and alerts relevant to the selected entity in the Relationship widget.
You can view report based on the analysis type you have selected by clicking Analysis button. Also, you can filter metrics and alerts based on various parameters, such as metric name, entity name, and so on. If you find a metric that might be a potential root cause, you can mark the metric by clicking the Mark as root cause icon ( ).. If you find a metric which you want to mark for your reference, you can flag the metric by clicking the Flag metric icon ( ).
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| Notes |
You see:
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