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.
]]>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.
]]>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:
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:
]]>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.
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.
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.
]]>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.
]]>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.
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