This is a glue service for integration between Argus, the alert aggregation server, and Network Administration Visualized (NAV), the network monitoring software suite provided by Uninett.
navargus
acts as an export script for the NAV event engine. It accepts
stacked, JSON-serialized alert objects on its STDIN.
The event engine will feed navargus
a continuous stream of NAV alerts as they
are generated. navargus
uses these alerts to either create new incidents in
the Argus API, or resolve existing ones as needed.
Refer to the Argus server documentation to learn more about integrating monitoring systems with Argus.
If you don't want to install from the source code repository, the latest version of the package is always available on PyPI:
pip install nav-argus-glue
Add navargus
in the [export]
section of the eventengine.conf
file.
[export]
# If set, the script option will point to a program that will receive a
# continuous stream of JSON serialized alert objects on its STDIN.
script = /path/to/navargus
In the Argus admin interface, create a new "Source system" for your NAV instance. This will automatically create an Argus user account for this instance. Now, use the Argus admin interface to create an authentication token for your user.
navargus
is configured via navargus.yml
. Since navargus
is designed to
run in conjunction with NAV's event engine, this config file must be placed in
NAV's config directory (typically /etc/nav
).
A minimal navargus.yml
contains the base URL of your Argus server and the
Argus API token generated above.
An example:
---
api:
url: https://argus.example.com/api/v1
token: very-long-and-secret-string
The configuration file may optionally contain a list of tags. These tags will be added to all incidents created by this NAV instance. To learn more about tags, refer to Argus documentation.
A full configuration file example is provided in navargus.example.yml.
Now, you can run the command navargus --test-api
to verify that the glue
service is properly configured and able to query the Argus API.
This module uses Black as a source code formatter for Python code.
A pre-commit hook will format new code automatically before committing. To enable this pre-commit hook, run
$ pre-commit install