I actually found that DataDog's ddtrace [1] and datadog [2] libraries are very good for instrumenting Python, even in the absence of any connection to DataDog (and no affiliation to them on my part).
ddtrace patches popular Python libraries to emit metrics which can be collected by any statsd-compatible endpoint. The trace spans may well be more specific to the Datadog API though.
ddtrace patches popular Python libraries to emit metrics which can be collected by any statsd-compatible endpoint. The trace spans may well be more specific to the Datadog API though.
[1] https://github.com/DataDog/dd-trace-py/
[2] https://datadogpy.readthedocs.io/en/latest/