Adding instrumentation to Services

Generally, the only deployment change that needs to occur is to add an annotation to the pods that a Deployment, DaemonSet, or StatefulSet creates.

Signals

By default, you will get traces from many Python libraries without any additional configuration. Our recommended Instrumentation configuration will also ensure that logs are sent to the collector. However, you may need to make some changes to your application to ensure that you continue to have console logs. See Setting Up stderr Logging in Python for more information.

For more information, see the opentelemetery-java-autoinstrumentation (opens in a new tab) documentation.

Auto-Instrumentation for Python

A single annotation is used to enable instrumentation of Python.

Note: It is important that the attribute is applied to the pod template, and not the Deployment, StatefulSet, or DaemonSet.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: your-python-app-name
  labels:
    ...
spec:
  selector:
    matchLabels:
      ...
  template:
    metadata:
      labels:
        ...
      annotations:
        instrumentation.opentelemetry.io/inject-python: opentelemetry-operator/auto-instrumentation
...