OpenTelemetry (OTel) is a vendor-neutral, open-source framework for observability designed to be compatible with any backend system. It offers standardized APIs, libraries, and tools for gathering telemetry data, including metrics, logs, and traces. This presentation serves as an introduction to using OpenTelemetry with Python.

This repository contains examples for Django, Flask, and running an OTel Collector. Each folder contains a README file with directions for getting started with the examples.

You can find slides to accompany this talk in the folder of this repository entitled slides.

• Django tutorial
• Flask tutorial

• OpenTelemetry docs
• OpenTelemetry collectors 
• OpenTelemetry SDKs
• Django Instrumentation

• Elastic Distributions of OpenTelemetry (EDOT)
• Introducing Elastic Distribution for OpenTelemetry Python
• OTel Demo
• Elastic OTel Demo
• Elastic OTel Demo Playground
• elastic-otel-python
• Elastic OpenTelemetry integration
• Elastic Observability Fundamentals
• Automatic instrumentation with OpenTelemetry for Python applications
• Daily Elastic Byte: Season 6
• Hybrid example based on this repo
• APM Agent vs OpenTelemetry
• Independence with OpenTelemetry on Elastic

• How To Monitor and Troubleshoot Applications using OpenTelemetry
• A practical guide to using OpenTelemetry in Python by Tom Eastman
• The State of OpenTelemetry
• Observability with OpenTelemetry and Elastic for Python

• What is OpenTelemetry?