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---
title: FastAPI + Gunicorn
weight: 5
---
To use Prometheus with [FastAPI](https://fastapi.tiangolo.com/) and [Gunicorn](https://gunicorn.org/) we need to serve metrics through a Prometheus ASGI application.
Save the snippet below in a `myapp.py` file
```python
from fastapi import FastAPI
from prometheus_client import make_asgi_app
# Create app
app = FastAPI(debug=False)
# Add prometheus asgi middleware to route /metrics requests
metrics_app = make_asgi_app()
app.mount("/metrics", metrics_app)
```
For Multiprocessing support, use this modified code snippet. Full multiprocessing instructions are provided [here]({{< ref "/multiprocess" >}}).
```python
from fastapi import FastAPI
from prometheus_client import make_asgi_app
app = FastAPI(debug=False)
# Using multiprocess collector for registry
def make_metrics_app():
registry = CollectorRegistry()
multiprocess.MultiProcessCollector(registry)
return make_asgi_app(registry=registry)
metrics_app = make_metrics_app()
app.mount("/metrics", metrics_app)
```
Run the example web application like this
```bash
# Install gunicorn if you do not have it
pip install gunicorn
# If using multiple workers, add `--workers n` parameter to the line below
gunicorn -b 127.0.0.1:8000 myapp:app -k uvicorn.workers.UvicornWorker
```
Visit http://localhost:8000/metrics to see the metrics
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