---
title: Google Cloud Monitoring
description: >-
  Track metric ingestion volume and uptime check results from Google Cloud
  Monitoring.
breadcrumbs: Docs > Integrations > Google Cloud Monitoring
---

> For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt).

# Google Cloud Monitoring
Integration version1.0.0
{% callout %}
# Important note for users on the following Datadog sites: us2.ddog-gov.com

{% alert level="info" %}
To find out if this integration is available in your organization, see your [Datadog Integrations](https://app.datadoghq.com/integrations) page or ask your organization administrator.

To initiate an exception request to enable this integration for your organization, email [support@ddog-gov.com](mailto:support@ddog-gov.com).
{% /alert %}

{% /callout %}

## Overview{% #overview %}

[Google Cloud Monitoring](https://cloud.google.com/monitoring/docs/monitoring-overview) collects metrics, events, and metadata from Google Cloud, and runs uptime checks against your public endpoints.

Use the Datadog Google Cloud Platform integration to collect metric ingestion volume and uptime check results from Google Cloud Monitoring.

## Setup{% #setup %}

### Installation{% #installation %}

If you haven't already, set up the [Google Cloud Platform integration](https://docs.datadoghq.com/integrations/google-cloud-platform.md) first. There are no other installation steps.

## Data Collected{% #data-collected %}

### Metrics{% #metrics %}

|  |
|  |
| **gcp.monitoring.billing.bytes_ingested**(count)                           | Chargeable number of bytes of metric data ingested.*Shown as byte*                                                                                                                               |
| **gcp.monitoring.billing.bytes_ingested_hourly**(count)                   | Chargeable number of bytes of metric data ingested, aggregated hourly.*Shown as byte*                                                                                                            |
| **gcp.monitoring.billing.samples_ingested**(count)                         | Chargeable number of samples of metric data ingested. Chargeable usage reported as samples ingested is never reported as bytes ingested, and vice versa.                                         |
| **gcp.monitoring.billing.samples_ingested_hourly**(count)                 | Chargeable number of samples of metric data ingested, aggregated hourly. Chargeable usage reported as samples ingested is never reported as bytes ingested, and vice versa.                      |
| **gcp.monitoring.billing.time_series_billed_for_queries_count**(count) | The number of time series billed for queries.                                                                                                                                                    |
| **gcp.monitoring.collection.attribution.write_sample_count**(count)       | The number of chargeable metric samples written that are tagged with a reporting attribution dimension.                                                                                          |
| **gcp.monitoring.stats.filtered_byte_count**(count)                       | Number of bytes of metric data filtered through metric-exclusion rules.*Shown as byte*                                                                                                           |
| **gcp.monitoring.stats.filtered_sample_count**(count)                     | Number of samples of metric data filtered through metric-exclusion rules.*Shown as sample*                                                                                                       |
| **gcp.monitoring.stats.metrics_queried_hourly_count**(count)             | Number of API queries by metric type and origin. Only recorded for user metrics.                                                                                                                 |
| **gcp.monitoring.stats.num_time_series**(gauge)                           | Number of active time series for user-defined metrics under custom.googleapis.com and logging.googleapis.com/user. An active time series is one that has received data in the previous 24 hours. |
| **gcp.monitoring.uptime_check.check_passed**(gauge)                       | True if the resource passed the check. After sampling, data is not visible for up to 35 seconds.                                                                                                 |
| **gcp.monitoring.uptime_check.content_mismatch**(gauge)                   | True if the response failed to match the check's specification of required content. After sampling, data is not visible for up to 35 seconds.                                                    |
| **gcp.monitoring.uptime_check.error_code**(gauge)                         | Error, if any, that prevented contact with the resource. After sampling, data is not visible for up to 35 seconds.                                                                               |
| **gcp.monitoring.uptime_check.http_status**(gauge)                        | HTTP response code returned by the resource. After sampling, data is not visible for up to 35 seconds.                                                                                           |
| **gcp.monitoring.uptime_check.request_latency**(gauge)                    | The request latency in milliseconds measured by Uptime Monitoring when executing the request. After sampling, data is not visible for up to 35 seconds.*Shown as millisecond*                    |
| **gcp.monitoring.uptime_check.time_until_ssl_cert_expires**(gauge)     | The number of days until the SSL certificate on the resource expires. After sampling, data is not visible for up to 35 seconds.*Shown as day*                                                    |

### Events{% #events %}

Google Cloud Monitoring does not include any events.

### Service Checks{% #service-checks %}

Google Cloud Monitoring does not include any service checks.

## Troubleshooting{% #troubleshooting %}

Need help? Contact [Datadog support](https://docs.datadoghq.com/help/).