python-http-monitoring

HTTP(s) “monitoring” powered by FastAPI+Jinja2+aiohttp.

Installation can be done with pipenv or Docker. Targets can be changed on runtime since they are read in each request (if you’re running on Docker just mount the file as a volume). Request customization is also possible (retries per request, time between retries, etc.).

Targets will be flagged as “down” if they take longer than the timeout or the expected http status code is different than the one expected.

TODO (No ETA…):

Notifications
Historic metrics
Support other HTTP methods

Installation

Minimum requirements to run locally:

>Python 3.7
pipenv

Otherwise, if you want to run it in a container:

Docker

Locally:

git clone https://github.com/itzkvn/python-http-monitoring.git
cd python-http-monitoring
pipenv shell
pipenv install
cd app
uvicorn main:app --port 18080

Docker:

If you want to try it out:

docker run -it --rm -p 18080:80 kollowz/python-http-monitoring

If you want to mount a configuration file:

docker run -it --rm -p 18080:80 -v "/path/to/targets.yml:/app/targets.yml" kollowz/python-http-monitoring

Either way you access the website at 127.0.0.1:18080/target/status.

Configuration

Configuration for this proyect consists in two files:

app/targets.yml and app/settings.py

targets.yml: targets to check Each target consists of:

display: Display name in the website (Maybe you want to see “My website” instead of “http://yourwebsite.com“).
url: URL to check (ex: “https://www.google.com“).
expected_http_code: Status code that will be validated against response status code (this is, mostly, what makes a check go either green or red).

settings.py: “backend” configuration