Powerful Monitor Falcon With Opentelemetry

Posted on Nov 11

• Originally published at uptrace.dev

Falcon is a minimalist web framework for building RESTful APIs in Python. It is lightweight, fast, and designed to be easy to use.

By integrating OpenTelemetry into your Falcon application, you can capture and export telemetry data such as traces, metrics, and logs. You can use that data for monitoring, troubleshooting, and analyzing the behavior and performance of your application.

OpenTelemetry is an open-source observability framework that aims to standardize and simplify the collection, processing, and export of telemetry data from applications and systems.

OpenTelemetry supports multiple programming languages and platforms, making it suitable for a wide range of applications and environments.

OpenTelemetry enables developers to instrument their code and collect telemetry data, which can then be exported to various OpenTelemetry backends or observability platforms for analysis and visualization. The OpenTelemetry Operator can automatically inject instrumentation into your applications when running in Kubernetes, reducing manual configuration overhead.

To instrument Falcon app, you need to install the corresponding OpenTelemetry Falcon instrumentation:

Use the following code to integrate OpenTelemetry to capture telemetry data from your Falcon application:

You can exclude certain URLs from being tracked using environment variables:

You can also extract certain attributes from Falcon’s request object and use them as span attributes:

Source: Dev.to