August 6, 2018
A new Cloud Billing IAM permission
is now available that gives you finer control over what cost data your users
can see. You can now use
billing.resourceCosts.get to grant project-specific access
to cost data like billing reports.
The new permission was added on August 6, 2018. To give you time to set up
your users with the correct permissions, the new permission will not be
enforced until August 20, 2018. See the
documentation for more details.
July 9, 2018
Cost forecasts are now available as a GA feature in Cloud Billing reports. Cost forecasts make it easier to see at a glance how your costs are trending and how much you are projected to spend. See the blog and documentation for more details.
May 22, 2018
Cloud Billing programmatic notifications for budget alerts is now available in GA. You can configure programmatic notifications to receive Cloud Pub/Sub messages about the current status of your budget. See the blog and documentation for more details.
April 24, 2018
Cloud Billing reports are now available in GA. Billing reports let you quickly chart your billing account's cloud spending. See the blog and documentation for more details.
March 30, 2018
Cloud Billing programmatic notifications for budget alerts is now available in Beta. You can configure programmatic notifications to receive Cloud Pub/Sub messages about the current status of your budget. See the documentation for more details.
March 20, 2018
Cloud Billing reports are now available in Beta. Billing reports let you quickly chart your billing account's cloud spending. See the blog and documentation for more details.
February 27, 2018
The Cloud Billing Catalog API is now available in GA. The Catalog API offers programmatic access to pricing metadata on Cloud Platform SKUs. See the blog and documentation for more details.
November 15, 2017
Cloud Billing export to BigQuery is now available in GA. BigQuery billing export regularly publishes new SKU usage and cost data to your BigQuery dataset. You can write SQL queries to understand your spending and use the BigQuery dataset to drive visualization tools like Data Studio. See the blog and documentation for more details.