The docker compose consists of:
- Ride share demo application
- Tempo
- Pyroscope
- Grafana
rideshare
applications generate traces and profiling data that should be available in Grafana.
Pyroscope and Tempo datasources are provisioned automatically.
The project can be run locally with the following commands:
docker-compose up
Navigate to the Explore page, select a trace and click on one of its spans that have a linked profile:
By default, only the root span gets labeled (the first span created locally): such spans are marked with the link icon
and have pyroscope.profile.id
attribute set to the corresponding span ID.
Please note that presence of the attribute does not necessarily
indicate that the span has a profile: stack trace samples might not be collected, if the utilized CPU time is
less than the sample interval (10ms).
rideshare
demo application instrumented with OpenTelemetry:- Go OTel integration
- Java OTel integration
pyroscope
itself is instrumented withopentracing-go
SDK andspanprofiler
for profiling integration.
In order to correlate trace spans with profiling data, Tempo datasource should be configured:
- Data source of the profiling data.
- Tags to use in the query.
- Profile type: as of now, only CPU time profile is fully supported.
- Query override.
While tags are optional, configuring them is highly recommended for optimizing query performance.
In our example, we configured the host.name
tag for use in Pyroscope queries as the hostname
label.
This configuration restricts the data set for lookup to a specific host, ensuring that queries remain
consistently fast. Note that the tags you configure must be present in the spans attributes or resources
for a trace to profiles span link to appear.
Please refer to our documentation for more details.