It also features a modular approach to metrics that should instrument all FastAPI endpoints. You can either choose from a set of already existing metrics or create your own. And every metric function by itself can be configured as well. This chapter contains an example on the advanced usage of the Prometheus FastAPI Instrumentator to showcase most of it's features.

September 1, 2025 - Here MetricsMiddleware is a custom middleware class that intercepts every HTTP request to our app, records Prometheus metrics, then passes the request on. Its core functionality is in the dispatch function. For every HTTP request, it forwards the request so that FastAPI can process it normally, then increments the corresponding counter.

It also features a modular approach to metrics that should instrument all FastAPI endpoints. You can either choose from a set of already existing metrics or create your own. And every metric function by itself can be configured as well. This chapter contains an example on the advanced usage of the Prometheus FastAPI Instrumentator to showcase most of it's features.

January 19, 2025 - In this 5min hands-on video I explain how to take a Python FastAPI application and instrument it to make it “Prometheus enabled”. The app will begin emitting metrics to the standard /metrics endpoint that Prometheus (or an OpenTelemetry collector) can scrape.

December 3, 2023 - FastAPI Prometheus Exporter is a simple Prometheus exporter for FastAPI applications. It provides a set of metrics by default and allows you to add your own metrics as well.

August 21, 2025 - This setup automatically tracks metrics like request counts, latency histograms, and request/response sizes per endpoint, making them available at the /metrics path on your FastAPI application's port (5060 in this project).

July 2, 2026 - Prometheus: Industry-standard metrics collection and storage system. Grafana: Powerful visualization and alerting platform. Together, they form a complete observability stack that’s can be widely used in production environments.

January 30, 2025 - Initialize and instrument your FastAPI app with the Instrumentator: ... This step automatically adds Prometheus metrics instrumentation to your FastAPI app and exposes the metrics endpoint. Restart your FastAPI app to apply the instrumentation changes.

Telemetry FastAPI application with three pillars of observability on Grafana: Traces with Tempo and OpenTelemetry Python SDK · Metrics with Prometheus and Prometheus Python Client · Logs with Loki · Check more details on the GitHub repository: FastAPI with Observability.

Use Prometheus Python Client to generate OpenTelemetry format metric with exemplars and expose on /metrics for Prometheus. In order to add an exemplar to metrics, we retrieve the trace id from the current span for the exemplar and add the trace ...

The metrics route renders Prometheus metrics from the default collector registry into the appropriate format. Run: (venv) $ pip install fastapi uvicorn (venv) $ python fastapi-example.py """ from typing import List from fastapi import FastAPI, Header, Request, Response from aioprometheus import REGISTRY, Counter, render app = FastAPI() app.state.events_counter = Counter("events", "Number of events.") @app.get("/") async def hello(request: Request): request.app.state.events_counter.inc({"path": "/"}) return "FastAPI Hello" @app.get("/metrics") async def handle_metrics( request: Request, # pylint: disable=unused-argument accept: List[str] = Header(None), ) -> Response: content, http_headers = render(REGISTRY, accept) return Response(content=content, media_type=http_headers["Content-Type"]) if __name__ == "__main__": import uvicorn uvicorn.run(app)

On the FastAPI, you can access /metrics endpoint to see the data Prometheus is scraping from it.

March 7, 2026 - This document explains the Prometheus metrics collection system within the FastAPI Best Architecture. It covers the configuration of Prometheus, the metrics exporters used to expose metrics from diffe

August 16, 2025 - It takes Prometheus metrics and turns them into intuitive dashboards, alerting rules, and real-time performance graphs. Imagine driving a car without a dashboard — you’d never know your speed until it was too late.

April 15, 2025 - In this file, we import make_asgi_app from prometheus_client to create a Prometheus metrics app. We pass that registry to make_asgi_app() to create the metrics app. We mount that metrics app at the /metrics route using app.mount("/metrics", metrics_app). We start the server and navigate to localhost:8000/metrics. We should see the following response in our web browser. ... from fastapi import FastAPI, Request from prometheus_client import make_asgi_app, Counter app = FastAPI() index_counter = Counter('index_counter', 'Description of counter') metrics_app = make_asgi_app() app.mount("/metrics", metrics_app) @app.get("/") def index(): index_counter.inc() return "Hello, world!"

Instrument your FastAPI with Prometheus metrics. Contribute to trallnag/prometheus-fastapi-instrumentator development by creating an account on GitHub.

What it is: prometheus-fastapi-instrumentator is a middleware that automatically instruments FastAPI applications to emit Prometheus-compatible metrics (request count, latency, status codes). How it works: The library wraps your FastAPI app with middleware that records HTTP request/response ...

May 19, 2026 - Configure custom metrics, alerting rules, and real-time visualization for API performance tracking. ... FastAPI applications in production need comprehensive monitoring to track performance, errors, and resource usage. This tutorial sets up Prometheus to collect metrics from your FastAPI app and Grafana to visualize them with custom dashboards and alerts.

April 15, 2024 - To use Prometheus with FastAPI and Gunicorn we need to serve metrics through a Prometheus ASGI application. Save the snippet below in a myapp.py file from fastapi import FastAPI from prometheus_client import make_asgi_app # Create app app = FastAPI(debug=False) # Add prometheus asgi middleware ...