How to monitor a Django application with Prometheus
Prerequisites
A machine with the following installed:
- Python
- A locally running Prometheus instance
tip
Since machines commonly have multiple versions of Python installed, in this tutorial we call pip
using the python -m pip [foo]
syntax instead of the pip [foo]
syntax. This is to ensure that pip installs new components for the version of Python that we are using.
(Please skip this step if you already have a Django application.)
Create a template project
Navigate to the directory where you want to create the project, and run:
django-admin startproject mysite
This creates a mysite
directory in your current directory, that looks something like this (more here):
mysite/
manage.py
mysite/
__init__.py
settings.py
urls.py
asgi.py
wsgi.py
Verify that Django is working
Change to the outer mysite
directory, and run:
python manage.py runserver
You should see something like this:
If that works, then visit http://127.0.0.1:8000/
from your Web browser. You should see a “Congratulations!” page, with a rocket taking off.
Step 2 - Export prometheus-style monitoring metrics from your Django application
We use the package for exporting prometheus-style monitoring metrics from our Django application.
python -m pip install django-prometheus
Modify settings.py
and urls.py
In settings.py
, add:
INSTALLED_APPS = [
...
...
]
MIDDLEWARE = [
'django_prometheus.middleware.PrometheusBeforeMiddleware',
# All your other middlewares go here, including the default
# middlewares like SessionMiddleware, CommonMiddleware,
# CsrfViewmiddleware, SecurityMiddleware, etc.
'django_prometheus.middleware.PrometheusAfterMiddleware',
]
In urls.py
, make sure you have this in the header:
from django.conf.urls import include, path
Then add this under urlpatterns:
Verify that metrics are being exported
Restart the application and curl the /metrics
endpoint:
python manage.py runserver
curl localhost:8000/metrics
(Alternatively, once you’ve restarted your application, visit from your web browser.)
You should see something like this:
# HELP python_gc_objects_collected_total Objects collected during gc
# TYPE python_gc_objects_collected_total counter
python_gc_objects_collected_total{generation="0"} 11716.0
python_gc_objects_collected_total{generation="1"} 1699.0
python_gc_objects_collected_total{generation="2"} 616.0
# HELP python_gc_objects_uncollectable_total Uncollectable object found during GC
# TYPE python_gc_objects_uncollectable_total counter
python_gc_objects_uncollectable_total{generation="0"} 0.0
python_gc_objects_uncollectable_total{generation="1"} 0.0
python_gc_objects_uncollectable_total{generation="2"} 0.0
# HELP python_gc_collections_total Number of times this generation was collected
# TYPE python_gc_collections_total counter
python_gc_collections_total{generation="0"} 7020.0
python_gc_collections_total{generation="1"} 638.0
python_gc_collections_total{generation="2"} 34.0
# HELP python_info Python platform information
# TYPE python_info gauge
python_info{implementation="CPython",major="3",minor="8",patchlevel="0",version="3.8.0"} 1.0
...
(Note: This section assumes that you have a locally running Prometheus instance.)
Under scrape_configs:
, add:
- job_name: django
scrape_interval: 10s
static_configs:
- targets:
- localhost:8000
note
Restart Prometheus
Verify that Prometheus is scraping metrics from your Django application:
Once you are running Prometheus locally, visit the from your web browser.
For example, you can visit the below page, which graphs the total number of http requests your Django application received in the last hour:
Graph of Django HTTP requests, served on localhost
It should look something like this:
If you’d like to do more testing, visit your Django application several more times and reload the Prometheus Expression Browser to confirm that it is working. Also feel free to explore the other Django metrics that Prometheus is collecting.
Step 4 - Instrument additional aspects of your application (optional)
Django-prometheus is quite powerful, and allows you to easily instrument additional aspects of your application, including:
- Your databases
- Your models (for example, monitor the creation/deletion/update rate for your models)
- Your caches
- Your own custom metrics in your code
More information on how to do all of these is .
Congratulations! Now you are monitoring your Django application with Prometheus!