This is documentation for the next version of Tempo. For the latest stable release, go to the latest version.
Tempo in Grafana
Grafana has a built-in Tempo data source that can be used to query Tempo and visualize traces. This page describes the high-level features and their availability. Use the latest versions for best compatibility and stability.
Use TraceQL to dig deep into trace data
Inspired by PromQL and LogQL, TraceQL is a query language designed for selecting traces in Tempo.
The default Tempo search reviews the whole trace. TraceQL provides a method for formulating precise queries so you can quickly identify the traces and spans that you need. Query results are returned faster because the queries limit what is searched.
You can run a TraceQL query either by issuing it to Tempo’s q parameter of the search API endpoint, or, for those using Tempo in conjunction with Grafana, by using the TraceQL query editor.
For details about how queries are constructed, read the TraceQL documentation.
The most basic functionality is to visualize a trace using its ID. Select the TraceQL tab and enter the ID to view it. This functionality is enabled by default and is available in all versions of Grafana.
Finding traces using Trace to logs
Traces can be discovered by searching logs for entries containing trace IDs. This is most useful when your application also logs relevant information about the trace that can also be searched, such as HTTP status code, customer ID, etc. This feature requires a linked Loki data source, and a traceID derived field.
For more information, refer to the Trace to logs documentation.
Find traces using Search query builder
Search for traces using common dimensions such as time range, duration, span tags, service names, and more. Use the trace view to quickly diagnose errors and high-latency events in your system.
Non-deterministic search
Most search functions are deterministic: using the same search criteria results in the same results.
However, Tempo search is non-deterministic. If you perform the same search twice, you’ll get different lists, assuming the possible number of results for your search is greater than the number of results you have your search set to return.
When performing a search, Tempo does a massively parallel search over the given time range, and takes the first N results. Even identical searches differ due to things like machine load and network latency. This approach values speed over predictability and is quite simple; enforcing that the search results are consistent would introduce additional complexity (and increase the time the user spends waiting for results). TraceQL follows the same behavior.
Service graph view
Grafana provides a built-in service graph view available in Grafana Cloud and Grafana 9.1. The service graph view visualizes the span metrics (traces data for rates, error rates, and durations (RED)) and service graphs. Once the requirements are set up, this pre-configured view is immediately available in Explore > Service Graphs.
For more information, refer to the service graph view.
View JSON file
A local JSON file containing a trace can be imported and viewed in the Grafana UI. This is useful in cases where access to the original Tempo data source is limited, or for preserving traces outside of Tempo.
The JSON data can be downloaded via the Tempo API or the Inspector panel while viewing the trace in Grafana.
Note
To perform this action on Grafana 10.1 or later, select a Tempo data source, select Explore from the main menu, and then select Import trace.
Link tracing data with profiles
Using Trace to profiles, you can use Grafana’s ability to correlate different signals by adding the functionality to link between traces and profiles.
Trace to profiles lets you link your Grafana Pyroscope data source to tracing data in Grafana or Grafana Cloud. When configured, this connection lets you run queries from a trace span into the profile data.
For more information, refer to the Traces to profiles documentation and the Grafana Pyroscope data source documentation.
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