This tutorial shows the quickest way to get started with the Prometheus Python library.

July 6, 2023 - In this step-by-step guide, we will demonstrate how to expose metrics for a simple Python API app and monitor them using Prometheus. We will also instrument the app to track request metrics.

Monitoring synchronous Python web apps with Prometheus and its asynchronous monitoring counterpart are two tutorials that show how to add middleware to your web apps that allows Prometheus metrics collection.

February 17, 2025 - This article provides a detailed guide on integrating Prometheus metrics into your Python application. It explores key concepts, including instrumenting your application with various metric types, monitoring HTTP request activity, and exposing ...

January 13, 2025 - Prometheus is a powerful open-source monitoring system designed to scrape and store metrics data. This guide walks you through setting up a Prometheus server, integrating it with a Python application, and monitoring metrics.

Prometheus Python Example. GitHub Gist: instantly share code, notes, and snippets.

July 10, 2023 - Let’s start by installing the Prometheus client. To do this, we will execute the command pip install prometheus-client ... This command will allow us to install the library so that we can access it in our Python code.

Prometheus is an open-source monitoring and alerting tool. It’s used to monitor Python applications and has an official Python client library that you can use on your Python project to export metrics. In this article, we’ll show how to use Prometheus Python Client Library to monitor Python ...

prometheus python tutorials. Contribute to liyuanjun/prometheus-python-tutorial development by creating an account on GitHub.

March 27, 2026 - In the following example-driven tutorial we will learn how to use Prometheus metrics / OpenMetrics to instrument your code whether you are using Golang, Java, Python or Javascript.

May 21, 2023 - >>> import prometheus_client >>> help(prometheus_client.Enum) To begin with, let’s see how it works in general — let’s write a script in Python, in which there will be a regular HTTP server on port 8080, and on port 9000 — an exporter that will collect statistics on requests with response codes and create a metric http_requests with two labels - in one we will store a response code, and in the other - the name of the host from which the metric was obtained.

September 15, 2023 - Prometheus can be used to monitor Python apps. Check out how to use Prometheus to monitor Python apps.

Documentation is available on https://prometheus.github.io/client_python

from prometheus_client import start_http_server, Summary import random import time # Create a metric to track time spent and requests made. REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request') # Decorate function with metric. @REQUEST_TIME.time() def ...

November 16, 2025 - Complete prometheus-client guide: python client for the prometheus monitoring system. Installation, usage examples, troubleshooting & best practices. Python 3.9++

from prometheus_client import start_http_server if __name__ == '__main__': start_http_server(8000)

May 25, 2022 - We’ll begin with a Python program that runs a web server and exposes an endpoint. We’ll utilize Prometheus, a time-series database system that employs a “pull” mechanism to retrieve data from running applications, to instrument our app. This implies that apps must “expose” their metric data in order for Prometheus to “scrape” it.

Join PromCon EU 2026 , the Prometheus users conference, on October 7–8, 2026 in Munich. PromCon EU 2026 — Oct 7–8, Munich. ... This guide is a "Hello World"-style tutorial which shows how to install, configure, and use a simple Prometheus instance.

Demo of using Prometheus for monitoring Python web applications - amitsaha/python-prometheus-demo