This script will create a metric alert monitor using thresholds as defined
in the
Datadog API docs
- 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_KEYorDD_API_KEYandDATADOG_APP_KEYorDD_APP_KEYas 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
#kelnerhaxway is to cheat like so:DATADOG_API_KEY=<secret> DATADOG_APP_KEY=<nuh-uh> python create_monitor.py
- The
- Alternatively set
- 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"
}
