In the CloudHealth Platform, you can not only get a recommendation for a Compute Savings Plan, you can explore different Compute Savings Plan commitment level scenarios and see how they might play out in your environment. Now, in addition to conducting this analysis at the billing family level (which is the recommended approach to realize the most savings), you can also conduct this analysis at an individual account level which can empower the teams within your business to make their own Savings Plan purchases.
While Billing Family level recommendations are currently still pre-generated, Single Account recommendations are generated on-demand when you need them. Typically our users are looking for the latest data for the best analysis, so by clicking “Generate Recommendations'' CloudHealth will re-generate the recommendations for the accounts you’ve selected. We’ll also save that data there for you until you want to refresh it again and denote its age in the “days'' column. Users are not able to re-generate recommendations within a given day. Users will also see the accounts they have access to according to your FlexOrgs and user permissions.

Once recommendations are generated you can see them summarized in a list as shown above. To conduct your “what-if” analysis click “View” to drill into a given scenario. Once there you can try out different commitment levels or coverage levels or go with the recommended maximum savings option, and see the corresponding KPIs in the context of this specific account. As noted in the graph, if Discount Sharing is enabled in your billing family, the measure “Unused” doesn’t necessarily denote when the Savings Plan would have gone to waste but rather when this account would not have gotten benefits from it. The analysis does however still start with on demand usage from this account, including all coverage benefits this account received in the evaluation period regardless of the source.
Please visit our Help Center for more information on the Savings Plans toolset in CloudHealth or setting up Savings Plans purchases through CloudHealth.

Tags help you associate cost, usage, performance, and other metrics of your assets with specific business groups, and we’ve been hearing from our customers that tag management is a real challenge in their organizations. While many organizations have a tagging governance strategy in place, it can be difficult to understand what tag usage looks like across your multi-cloud environment especially when we are talking 10,000, 50,000, or even 150,000 unique tag keys!
The CloudHealth Tag Management Service collects and maintains all the tag key values and provides valuable insights into tag usage in your environment and helps you answer questions such as:
What keys have the highest asset or value cardinality?
Should I create a perspective for a particular tag key?
What derivatives do I have of a particular tag key to capture variations when I create a perspective?
Which tag keys are currently being used in the CloudHealth features?
How well is my company adhering to our tagging governance policy?
Learn more about this feature and get started with Tag Management today by navigating to Setup>Governance>Tag Management!

We have released a new API for configuring GCP Projects. With this API, you’ll be able to update the project names or service account credentials of your GCP projects. Most important for companies who need to update their service account key on a rotating basis, you’ll now be able to do this programmatically.
Learn more about the GCP Project API in our Help Center GraphQL API documentation.
We have released our first phase of support for Azure Databricks Workspaces! You can now view your inventory of workspaces on the asset page or through the asset API. Coming soon, we’ll add support for Perspectives and tagging policies.