Create Metric Descriptor
cloud_monitoring.create_metric_descriptor
ActionGoogle Cloudconnection required
Calls monitoring v3 POST /v3/projects/{projectsId}/metricDescriptors.
Creates a new metric descriptor.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- OAuth 2.0
- Providers
- Google Cloud Monitoring
- Secret shape
- {"client_id", "client_secret", "refresh_token"}
- Config it needs
- project_id
- Resolved by
- config.connection_id, else node.connection_id
Configuration
1 field, 1 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
body The MetricDescriptor resource, as the API defines it. | object | Yes | — | — | — |
Output
One shape.
result
Extra keys beyond the ones listed can appear.
| Field | Type | Example |
|---|---|---|
description | string | — |
displayName | string | — |
labels | array | — |
launchStage | string | — |
metadata | object | — |
metricKind | string | — |
monitoredResourceTypes | array | — |
name | string | — |
type | string | — |
unit | string | — |
valueType | string | — |
{
"description": "",
"displayName": "",
"labels": [],
"launchStage": "",
"metadata": {},
"metricKind": "",
"monitoredResourceTypes": [],
"name": "",
"type": "",
"unit": "",
"valueType": ""
}See Create Metric Descriptor run in a workflow.
In a technical demo we add the Google Cloud Monitoring connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.