Select the type of value you want shown in the gauge. You can use your mouse to change the size or location of the visualization, or the Position & Size section of the Configuration panel for pixel perfect sizing and placement. Give your visualization a description to explain what the user is viewing.Ĭhoose an existing ad hoc search or create a new one. This name is not the same as the automatically assigned unique ID. This is also helpful when searching for individual visualizations in the dashboard definitions. You can use the Configuration panel to configure the following line chart components. (Optional) You can also write a new ID that describes the search better than the default by changing the ID in Data source name.Ĭonfiguration Panel options for filler and marker gauges.Or, you can select an existing data source under the Search, Saved search, or Chain search sections. Set up a new data source by selecting + Create search and adding a search to the SPL query window.Select the chart on your dashboard to highlight it with the blue editing outline.Select the Add chart button ( ) in the editing toolbar and browse through the available charts.If the search generates a current value outside of the configured minimum or maximum range, the marker stops at the lower or upper end of the value scale. The container appears empty for a value lower than the minimum and full for a value higher than the maximum.Ī marker gauge shows value ranges and colors with a marker that moves to indicate the current value. The current value also appears inside the filled portion of the gauge. The fill level shows where the current value is on the value scale. The search can generate either filler or marker gauge types.Ī filler gauge includes a value scale container that fills and empties as the current value changes. Index=_internal source="*splunkd.log" log_level="error" | stats count as errors For example, the following search aggregates error log events. If you use a real-time search, the range marker moves to show the metric changing over time.Īll gauge types visualize a single aggregated metric. For example, use a search that returns an event count for events with a specific field value in a time period or real-time window. To generate a gauge, use a search that returns a single numerical value. You can use a real-time search to generate a gauge that tracks value fluctuations as they occur. A gauge visualization provides metric status and range information that you can interpret quickly. Use a filler or marker gauge to map a value in relation to a range.
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