View metrics

The Metrics page in the UI enables you to view ingested metrics and anomalies of interest. The easiest way to view relevant metrics is to drill down from an incident:

  1. Go to the Monitor > Incidents page and select an incident.

  2. In the Incident Details pane, click the Metrics drill-down button.

    Critical_Incident_Details_Alerts_Tab_Selected.png

This brings you to the Metrics page. The drilldown automatically filters the metrics and time window for the selected incident.

Incident_Details_Metrics.png

Metric chart reference

Critical_Incidents_Metrics_Page.png
  • A. Source — Source node for the metric.

  • B. Managed Object — The fully-qualified name of the managed object that defines the configuration settings for the metric.

  • C. Metric Name

  • D. Anomalies — The number of detected anomalies in the current time window.

  • E. High — The highest data value within the current time window.

  • F. Raw/Rollup/Boxplot — Set the aggregation view:

    • Raw: Shows all data points observed during the current time frame. You can quickly see when, and for how long, the metric transitioned between an in-bound and an anomalous state.

    • Rollup: Highlights the overall means, medians, and sigmas.

    • Boxplot: Highlights the distribution of the data based on quartiles, from the lowest to the highest data point. Boxplots make it easy to see how the distribution of data points varies from one time bucket to the next.

  • G. Chart Controls — Buttons to view a combined chart, zoom in/out, pan forward/backward, and change the chart height.

  • H. Data Point Table — See Metric data point reference below.

Metric data point reference

To view information about a specific data point, rest the cursor over that point in the chart. The table to the right shows the following. See also Customizing Anomaly Detection for Individual Metrics (Advanced).

Note

Moogsoft stores all timestamps in UTC format. The dates and times displayed in the UI are based on your browser's local time.

Field

Description

Time

The local time when the data point was captured.

Severity

Severity, if the data point is an anomaly.

High Threshold

The high threshold for normal performance at the time the data point was captured.

Low Threshold

The low threshold for normal performance at the time the data point was captured.

Detector

The anomaly detector in use when the data point was captured.

Deviations

The number of standard deviations above or below the mean at which the detector determines that a data point is an anomaly.

Confidence

The level of confidence that the data point is an anomaly, from 0 (low confidence) to 1 (high confidence).  A low confidence value might indicate a relatively small sample size. It might also indicate that the data distribution is less normalized and more scattered, with more variations from the statistical average that represents "normal" behavior for that metric.

Vector

The detector considers anomalies based on whether a data point is

  • Above threshold (too high) only

  • Below threshold (too low) only

  • Above or below threshold (too high or too low)

Median

The median value in effect when the data point was captured.

Hold For

The detector setting in effect when the data point was captured. You can configure this setting when you set up the detector.

Stateful

The detector setting in effect when the data point was captured. You can configure this setting when you set up the detector.

Window

The detector setting in effect when the data point was captured. You can configure this setting when you set up the detector.

Searching and filtering metrics