Observing Python applications with OpenTelemetry

Abstract

In this talk we’ll see the options we have to add observability to Python applications with OpenTelemetry without touching our application code. In OpenTelemetry this is called autoinstrumentation or zero-code instrumentation.

We’ll see:
– The OpenTelemetry operator, a Kubernetes operator to manage collection and inject autoinstrumentation to the pods
– OpenTelemetry Python own autoinstrumentation solution based on the opentelemetry-instrument wrapper

We’ll evaluate the differences between the two solutions highlighting their strong and weak spots.

We are also taking a look on the work done inside the OpenTelemetry project around GenAI. You may have noticed than a ton of GenAI code is written in Python 🙂