Monitoring tool for Framaspace. [Online documentation](https://argos-monitoring.framasoft.org/)
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Alexis Métaireau 43e1767002 Refactor check config vlidation
- Refactored the `get_check_by_name` method to `get_registered_check` in the
  BaseCheck class and added a `get_registered_checks` method to get all the
  registered checks.
- Added a validation in the `WebsitePath` class to ensure that a check exists
  when parsing the configuration file.
- Updated the existing test for parsing SSL duration and added new tests to
  validate path parsing and check existence validation.
2023-10-10 10:04:46 +02:00
argos Refactor check config vlidation 2023-10-10 10:04:46 +02:00
tests Refactor check config vlidation 2023-10-10 10:04:46 +02:00
.gitignore Working SSL checks, refactoring of the codebase. 2023-10-09 19:33:58 +02:00
config.yaml Working SSL checks, refactoring of the codebase. 2023-10-09 19:33:58 +02:00
log_conf.yaml Start working with FastAPI 2023-10-02 12:15:57 +02:00
Pipfile Working SSL checks, refactoring of the codebase. 2023-10-09 19:33:58 +02:00
Pipfile.lock Working SSL checks, refactoring of the codebase. 2023-10-09 19:33:58 +02:00
pyproject.toml Working SSL checks, refactoring of the codebase. 2023-10-09 19:33:58 +02:00
README.md Working SSL checks, refactoring of the codebase. 2023-10-09 19:33:58 +02:00

Argos

🚧 This is mainly a work in progress for now. It's not working, don't try to install it ! 🚧

Argos is an HTTP monitoring service. It's meant to be simple to configure and simple to use.

Features :

  • Uses .yaml files for configuration ;
  • Read the configuration file and convert it to tasks ;
  • Store tasks in a database ;
  • Multiple paths per websites can be tested ;
  • Handle jobs failures on the clients
  • Exposes an HTTP API that can be consumed by other systems ;
  • Checks can be distributed on the network thanks to a job queue ;
  • Change the naming and use service/agent.
  • Packaging (and argos agent / argos service commands)
  • Local task for database cleanup (to run periodically)
  • Handles multiple alerting backends (email, sms, gotify) ;
  • Exposes a simple read-only website.

Implemented checks :

  • Returned status code matches what you expect ;
  • Returned body matches what you expect ;
  • SSL certificate expires in more than X days ;

How to run ?

We're using pipenv to manage the virtual environment and the dependencies. You can install it with pipx:

pipx install pipenv

And then, checkout this repository and sync its pipenv

pipenv sync

Once all the dependencies are in place, here is how to run the server:

pipenv run uvicorn argos.server:app --reload

The server will read a config.yaml file at startup, and will populate the tasks specified in it. See the configuration section below for more information on how to configure the checks you want to run.

And here is how to run the agent:

pipenv run argos-agent --server http://localhost:8000

Configuration

Here is a simple configuration file:

general:
    frequency: 4h # Run checks every 4 hours.
    alerts:
        error:
            - local
        warning:
            - local
        alert:
            - local
service:
    port: 8888
    # Can be generated using `openssl rand -base64 32`.
    secrets:
        - "O4kt8Max9/k0EmHaEJ0CGGYbBNFmK8kOZNIoUk3Kjwc"
        - "x1T1VZR51pxrv5pQUyzooMG4pMUvHNMhA5y/3cUsYVs="

ssl:
    thresholds:
        critical: "1d"
        warning: "10d"

websites:
    - domain: "https://blog.notmyidea.org"
      paths:
          - path: "/"
            checks:
                - status-is: 200
                - body-contains: "Alexis"
                - ssl-certificate-expiration: "on-check"
          - path: "/foo"
            checks:
                - status-is: 400

Development notes

On service start.

  1. Read the job definitions file and populate the database.
  2. From the job definition, create a list of tasks to execute.
  3. From time to time (?) clean the db.

On configuration changes :

  • Find and tombstone the JobDefinitions that are not useful anymore.
  • Cascade delete the child tasks that are planned. Tombstone them as wel.

On worker demand :

  • Find the tasks for which :
    • last_check is not defined
    • OR last_check + max_timedelta > datetime.now()
    • AND selected_by not defined.
  • Mark these tasks as selected by the current worker, on the current date.

From time to time (cleanup):

  • Check for stalled tasks (datetime.now() - selected_at) > MAX_WORKER_TIME. Remove the lock.

On the worker side

  1. Hey, I'm XX, give me some work.
  2. OK, this is done, here are the results for Task: response.