List Time Series
cloud_monitoring.list_time_series
ActionGoogle Cloudconnection required
Calls GET /projects/{project}/timeSeries with filter and interval.
Query Cloud Monitoring time series by filter over an interval.
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
6 fields, 3 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 |
|---|---|---|---|---|---|
project_id GCP project id (overrides connection). | string | No | — | — | — |
filter Metric filter, e.g. metric.type="custom.googleapis.com/x". | string | Yes | — | — | — |
start_time Interval start (RFC3339). | string | Yes | — | — | — |
end_time Interval end (RFC3339). | string | Yes | — | — | — |
aggregation Optional aggregation (JSON: alignmentPeriod, perSeriesAligner…). | object | No | — | — | — |
page_size Max results per page. | number | No | — | ≥ 1 | — |
Output
One shape.
result
| Field | Type | Example |
|---|---|---|
time_series | array | — |
count | number | — |
next_page_token | string | — |
{
"count": 0,
"next_page_token": "",
"time_series": []
}See List Time Series 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.