Visualize Spend Over Time with Data Studio

You can get up-to-date billing graphs throughout the day, and use labels to slice and dice your GCP bill the way you want by combining Google Cloud Platform billing export to BigQuery functionality with Google Data Studio.

Export your billing data to BigQuery

To start exporting your billing data into a BigQuery dataset, follow the procedure in Export Billing Data to BigQuery. After you follow the procedure, it takes about a day for the dataset to begin to be populated with billing data. (You might see some network egress first, then some VM charges, then Cloud PubSub usage, and so on.) After you've got data in your dataset, you can run queries against it, as shown below.

Start working with the sample billing report

To see and copy the sample billing report, visit the Billing Report Demo. Click Make a Copy in the left navigation pane and then follow the instructions on screen to start working in Data Studio.

Slice and dice your billing reports using labels

You can use labels to answer complex questions, such as "How can I tell what Sevice X is costing me?", or "What am I spending on my development environments versus production?" You apply labels, which are key/value pairs, to your GCP resources. Common uses of labels include:

• Labels based on team or cost center. You can use these labels to distinguish projects owned by different teams, which is useful in cost accounting or budgeting. For example, team:marketing and team:research.
• Labels based on component. For example, component:redis and component:frontend.
• Labels based on environment or stage. For example, environment:prod and environment:test.

The example report and dataset use a service label to organize resources for different apps. With that label in place, you can use the filters on the Resource Billing page to split out costs for any single service, all services, or any combination of them.