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Trace Analytics

Switch between the Trace search and the Trace Analytics modes by clicking on the Trace Mode button:

Trace Analytics query

Use the query to control what’s displayed in your Trace Analytic:

  1. Choose the Duration metric or a Facet to analyze. Selecting the Duration metric lets you choose the aggregation function whereas Facet displays the unique count.

  2. Select the aggregation function for the Duration metric:

  3. Use Tag or Facet to split your Analytic.

  4. Choose to display either the X top or bottom values according to the selected Facet or Duration.

  5. Choose the Analytic Timesteps. Changing the global timeframe changes the list of available Timesteps values.

Visualizations

Select a Trace Analytic visualization type using the Analytic selector:

Available visualizations:

Timeseries

Visualize the evolution of the Duration metric (or a Facet unique count of values) over a selected time frame, and (optionally) split by an available Facet.

The following timeseries Trace Analytic shows: The evolution of the pc99 duration by steps of 5min for each Service

Top List

Visualize the top values from a Facet according to their Duration (or a Facet unique count of values):

The following Top List Trace Analytic shows: The top pc99 duration of Service

Table

Visualize the top values from a facet according to a chosen measure (the first measure you choose in the list), and display the value of additional measures for elements appearing in this top. Update search query or drill through traces corresponding to either dimension.

The following Table Log Analytics shows: The evolution of the top 10 Services according to their Duration, along with the average Throughput and over the last 15 minutes.

Select or click on a section of the graph to either zoom in the graph or see the list of traces corresponding to your selection:

Export

Export your Trace analytic:

Traces in Dashboard

Export Trace Analytics from the Trace search or build them directly in your Dashboard alongside metrics and logs.

Learn more about the timeseries widget

Further Reading