diff --git a/content/en/getting_started/integrations/google_cloud.md b/content/en/getting_started/integrations/google_cloud.md index 38e7841d42c..c9a46569a34 100644 --- a/content/en/getting_started/integrations/google_cloud.md +++ b/content/en/getting_started/integrations/google_cloud.md @@ -340,6 +340,16 @@ To apply granular metric filtering for enabled services, click on the service in {{% /collapse-content %}} +{{% collapse-content title="Limit metric collection by Google Cloud region, and by global resources" level="h4" %}} + +Under the **Metric Collection** tab in Datadog's [Google Cloud integration page][11], deselect which regions to exclude from metrics collection. + +You can also specify additional locations not listed and disable any global metrics not associated with a region. + +{{< img src="integrations/google_cloud_platform/metric_region_filtering.png" alt="The metric collection tab in the Datadog Google Cloud integration page, with predefined regions defined Adding custom multi-region filters" style="width:80%;">}} + +{{% /collapse-content %}} + {{% collapse-content title="Limit metric collection by host or Cloud Run instance" level="h4" %}} 1. Assign a tag (such as `datadog:true`) to the hosts or Cloud Run instances you want to monitor with Datadog. 2. Under the **Metric Collection** tab in Datadog's [Google Cloud integration page][11], enter the tags in the **Limit Metric Collection Filters** textbox. Only hosts that match one of the defined tags are imported into Datadog. You can use wildcards (`?` for single character, `*` for multi-character) to match many hosts, or `!` to exclude certain hosts. This example includes all `c1*` sized instances, but excludes staging hosts: diff --git a/static/images/integrations/google_cloud_platform/metric_region_filtering.png b/static/images/integrations/google_cloud_platform/metric_region_filtering.png new file mode 100644 index 00000000000..ec70453e851 Binary files /dev/null and b/static/images/integrations/google_cloud_platform/metric_region_filtering.png differ