Drilling Down
You can view the details of problematic nodes, and then take action to rectify any issues.
To view all details of a problematic node, select it in the upper table. The lower table shows issues associated with that node. Each issue is shown with these identifiers:
- Metric Type: Metric assigned to the issue.
- Metric Name: Name of the metric.
- First Occurrence: Local time of the issue's first occurrence.
- Last Occurrence: Local time of the issue's last occurrence.
- Severity: Issue severity.
- Description: Brief description of the issue.
To view details of nodes by severity:
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On the menu bar, click Dashboard > Monitoring Summary.
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Click the ring meter corresponding to any of the monitored product types, in the portion of the meter corresponding to the severity you wish to view. (For example, to view all nodes currently with Warning status, click the Warning, or yellow, part of the ring.) The corresponding Severity Issue Summary is displayed.
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On the Severity Issue Summary page:
The upper table shows a list of all problematic nodes, with the following identifiers:
- Name: Node name.
- Path: Path to the node.
- Type: Type of node.
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Lead/Breach: Short summary of the most severe issue reported by the node. The node may be experiencing less severe issues as well.
Details and Health History
To view further health details of a problematic node, including history and status, click Details. The data tables show the detailed parameters of the selected node.
The Health History panel will show any rules breaches, including custom rules you have created yourself.
Note: The layout of the panels and selection of the displayed parameters is not customizable.Data Charts
Each data chart represents values of the parameter over time. Use the drop-down list to change the interval shown from the last 4 hours, the last day, or the last week. Data charts can include any of the metrics shown under the Valid Values for Metric Types table.
Click the data legend to toggle display of the corresponding line from the chart. Hiding some lines may be helpful to clarify a chart with many lines.