Cloud Billing release notes

Improved consistency in resource-based committed use discount (CUD) string names across experiences.

We have improved consistency by standardizing CUD string names across the various experiences. This update helps provide a seamless experience in resource-based CUD purchase flows, recommendations, analysis, and the FinOps hub.

Google Cloud Marketplace now uses the agency model for marketplace services for UK, FR, and DE customers.

As part of this change, customers will receive separate invoices for Google Cloud and third-party vendor transactions in the Cloud Marketplace.

For more information, see Split invoicing for agency model transactions and Marketplace Agency Account Migration FAQ.

Tags data for BigTable instances is available in both the Standard usage cost export and the Detailed usage cost export.

To learn more about Tags, see Tags overview. To learn about using Tags in your cost data exported to BigQuery, see more about tags and query examples with tags.

Simulate scenarios in FinOps hub to maximize your savings from resource-based CUDs

In the FinOps hub, we added support for resource-based CUD recommendations as a starting point to simulate various usage scenarios, and customize the recommendation to purchase a CUD that maximizes your savings.

Learn about simulating scenarios for resource-based CUDs.

View and manage unexpected costs with Anomaly Detection (in preview)

You can now view and manage cost spikes that deviate from your historical spend patterns using the Anomalies dashboard (preview). Each anomaly comes with a detailed root cause analysis that identifies the top services, regions, and SKUs that contributed to the spike.

Learn more about using Anomaly Detection to manage costs.

Avoid charges for underutilized Compute Engine reservations in the FinOps hub

You can now get recommendations to modify or delete your underutilized, on-demand reservations for Compute Engine resources when you haven't consumed your specified threshold of resources for at least 7 days.

Learn about reservation recommendations
View and apply underutilized reservation recommendations

Use Gemini AI assistant to find or create Billing Reports (preview)

Gemini Cloud Assist in Cloud Billing Reports provides FinOps-focused AI assistance to create the cost reports you need to analyze your cost trends and to summarize key insights from the cost reports.

Gemini Cloud Assist in Cloud Billing Reports helps you to:

• Use saved reports: Quickly access existing reports to analyze your spending.
• Create new reports: Configure custom reports with AI assistance to get the exact data you need.
• Summarize reports: Get AI-powered summaries of your reports to quickly understand key cost trends and insights.

Enable the Gemini for Google Cloud API in a project to turn on Gemini Cloud Assist in Cloud Billing Reports.

For more information about Gemini Cloud Assist features in Cloud Billing Reports, see:

• Gemini Cloud Assist in Cloud Billing
• Set up Gemini Cloud Assist in Cloud Billing
• Analyze billing data and cost trends with Reports

The Carbon footprint dashboard in the FinOps hub now includes market-based emissions data (preview)

Scope 2 market-based emissions data (preview) for the Carbon footprint dashboard are now available in the FinOps hub. The market-based emissions metric represents purchased electricity, incorporating Google's annual renewable energy purchases. You can use the data in the Carbon footprint dashboard to optimize your cloud spend and reduce your carbon impact.

• To learn more about the methodology and the difference between location-based and market-based emission metrics, see the carbon footprint documentation.

• Learn more about the FinOps hub.

Tags data for Secret Manager secret usage is available in both the Standard usage cost export and the Detailed usage cost export.

To learn more about Tags, see Tags overview. To learn about using Tags in your cost data exported to BigQuery, see about tags and query examples with tags.

View granular cost data from Secret Manager secret usage in Cloud Billing exports to BigQuery

You can now view granular Secret Manager secret cost data in the Google Cloud Billing detailed export. Use the resource.name or resource.global_name field in the export to view and filter your detailed log bucket usage.

Review the schema of the Detailed cost data export.

Track credits for your spend-based milestone credit programs (contract pricing)

If you have a custom pricing contract, you might be enrolled in spend-based milestone credit programs, where you earn promotional credits for spending specific amounts on Google Cloud.

In the Google Cloud console, you can now track the promotional credits for your spend-based milestone programs. The promotional credits that you receive act as a payment method, and are automatically applied to your costs.

Learn about tracking spend-based milestone credits.

You can now view granular AlloyDB for PostgreSQL usage in the Cloud Billing Detailed export to BigQuery

You can now view granular AlloyDB for PostgreSQL cluster, instance, and backup data in the Google Cloud Billing detailed export. Use the resource.global_name and resource.name fields in the export to view and filter your detailed AlloyDB cluster, instance, and backup usage.

Review the schema of the Detailed cost data export.

Tags data for AlloyDB for PostgreSQL cluster, instance, and backup usage is available in both the Standard usage cost export and the Detailed usage cost export.

To learn more about Tags, see Tags overview. To learn about using Tags in your cost data exported to BigQuery, see about tags and query examples with tags.

Simulate scenarios in FinOps hub to maximize your savings from spend-based CUDs

In the FinOps hub, you can now use a spend-based CUD recommendation as a starting point to simulate various usage scenarios, and customize the recommendation to purchase a CUD that maximizes your savings.

Learn about simulating scenarios for spend-based CUDs.

View your Carbon Footprint in the FinOps hub

In the FinOps hub, you can now view the estimated greenhouse gas emissions for your Google Cloud usage by visiting the Carbon Footprint dashboard.

Learn about Carbon Footprint data.

Avoid getting charged for idle Compute Engine reservations in the FinOps hub

You can now get recommendations to modify or delete your idle, on-demand reservations for Compute Engine resources when you haven't consumed any resources for at least 7 days.

Learn about idle reservation recommendations.

You can now view granular cost data for more Google Cloud services

• You can now view granular Cloud Logging log bucket cost data in the Google Cloud Billing detailed export. Use the resource.global_name field in the export to view and filter your detailed log bucket usage.
• You can now view granular Managed Microsoft Active Directory cost data in the Google Cloud Billing detailed export. Use the resource.name or resource.global_name field in the export to view and filter your detailed domain usage.
• You can now view granular Dataproc Metastore cost data in the Google Cloud Billing detailed export. Use the resource.name or resource.global_name field in the export to view and filter your detailed service usage.
• You can now view granular Cloud Deploy cost data in the Google Cloud Billing detailed export. Use the resource.name or resource.global_name field in the export to view and filter your detailed delivery pipeline usage.
• You can now view granular Cloud Data Fusion cost data in the Google Cloud Billing detailed export. Use the resource.name or resource.global_name field in the export to view and filter your detailed instance usage.

Review the schema of the Detailed cost data export.