GCP Cloud Billing Export to Bucket is deprecated and now GCP supports billing through BigQuery.

Cloud Billing export to BigQuery enables you to export detailed Google Cloud billing data (such as usage, cost estimates, and pricing data) automatically throughout the day to a BigQuery dataset that you specify.

The setup guide provides best practice recommendations and detailed instructions for enabling Cloud Billing data export to BigQuery.

To export Cloud Billing data to BigQuery, take the following steps:

  • Create a project where the Cloud Billing data will be stored, and enable billing on the project (if you have not already done so).
  • Configure permissions on the project and on the Cloud Billing account.
  • Enable the BigQuery Data Transfer Service API (required to export your pricing data).
  • Create a BigQuery dataset in which to store the data.
  • Enable Cloud Billing export of cost data and pricing data to be written into the dataset.


Each bill has a billing day of the month which is typically calculated as below:

  • The start time of a particular month’s billing is a few hours past the 1st of every month and the end time is considered a few hours past the 1st of the next month.

For example, start and end time for the month of April can be anywhere between 2022-04-01T00:00:00 to 2022-04-01T08:00:00 hrs and the end time could be anywhere from 2022-05-01T00:00:00 to 2022-05-01T08:00:00, ideally, the start and end time for the month of April should be 2022-04-01T00:00:00 to 2022-04-30T23:59:59.

Below images show how to enable billing export for the created dataset in Google Cloud Platform.


Once you enabled the billing export for the created dataset in Google Cloud Platform, follow these steps:

  1. Login to OpsRamp account with your credentials.
  2. Select a client.
  3. Navigate to Setup > Account.
  4. Click on the Integrations and Apps tile.
  5. Search for the Google Cloud integration.
  6. Select the Google Cloud tile and click Edit from the menu option, for the profile you want to add the dataset name.
  7. Under the Options tab, select the Collect Cost Analytics checkbox and paste the dataset name in the Dataset Name field.
  8. Click on Save.