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Instrument Python applications

Custom code—the logic that most directly impacts your business—is often the most interesting code to observe.

Below, you can find different ways to instrument your application: automatic options, with more ready to go out of the box; and a more direct, customizable option. Either will help you capture data on how your code behaves in production and offer some interesting queries to explore.

Automatic Instrumentation  🔗

The Honeycomb Beeline for Python is the most direct path to instrumenting your code. Beelines understand a wide range of standard packages in various ecosystems, and instrument them to send useful events to Honeycomb.

It’s easy to start with a Beeline, which will create traces automatically, and then later, optionally add custom traces and context to events to capture your unique needs.

The Beeline for Python is ready out of the box with optional support for apps based in Django, Flask, Tornado, or Bottle.

View setup and usage instructions for the Beeline for Python.

OpenTelemetry for Python  🔗

OpenTelemetry is a vendor-neutral instrumentation framework with a large community of contributors. Read our guide to get started using OpenTelemetry for Python.

Need help choosing between the Beeline SDK and OpenTelemetry for instrumenting your code? Read our guide: Beelines and OpenTelemetry.

Use Libhoney Directly  🔗

Libhoney is a low-level library for sending structured events to Honeycomb’s API. The Python Beeline package uses Libhoney under the hood.

View setup and usage instructions for the Libhoney for Python

Open Source  🔗

All Honeycomb integrations are open source, Apache 2.0 licensed, and can be found on GitHub.