create_monitor

Create Monitor

This script will create a metric alert monitor using thresholds as defined in the Datadog API docs

Run Code

• Setup a python virtualenv: virtualenv create_monitor
• Activate the virtualenv: source create_monitor/bin/activate
• Run pip install -r requirements.txt
• Run python create_monitor.py -k <your-api-key> -a <your-app-key>
  • Alternatively set DATADOG_API_KEY or DD_API_KEY and DATADOG_APP_KEY or DD_APP_KEY as environment variables (NOTE: It will need to be set WITHIN your virtualenv (e.g. after running step two here), see these docs for details: https://virtualenv.pypa.io/en/stable/reference/#environment-variables)
    • The #kelnerhax way is to cheat like so: DATADOG_API_KEY=<secret> DATADOG_APP_KEY=<nuh-uh> python create_monitor.py
• Result should be something like:o

Creating a test monitor
{
    "created": "2018-09-05T05:50:30.878346+00:00",
    "created_at": 1536126630000,
    "creator": {
        "email": "<redacted>@datadoghq.com",
        "handle": "<redacted>@datadoghq.com",
        "id": <redacted>,
        "name": "<redacted>"
    },
    "deleted": null,
    "id": 6221581,
    "message": "We may need to add web hosts if this is consistently high.",
    "modified": "2018-09-05T05:50:30.878346+00:00",
    "multi": false,
    "name": "Bytes received on host0",
    "options": {
        "evaluation_delay": 360,
        "locked": false,
        "new_host_delay": 300,
        "no_data_timeframe": 20,
        "notify_audit": false,
        "notify_no_data": true,
        "require_full_window": true,
        "silenced": {},
        "thresholds": {
            "critical": 100.0,
            "critical_recovery": 70.0,
            "warning": 80.0,
            "warning_recovery": 50.0
        }
    },
    "org_id": <redacted>,
    "overall_state": "No Data",
    "overall_state_modified": null,
    "query": "avg(last_1h):sum:system.net.bytes_rcvd{host:host0} > 100",
    "tags": [
        "cake:test",
        "solutions-engineering"
    ],
    "type": "query alert"
}