It is now possible to share Custom Datasets from the top-level OU (TLOU) to all OUs. Reports and Dashboards created off Datasets can now be shared with all OUs. When sharing Reports and Dashboards, it’s important to note that associated datasets now automatically be shared. This sharing model is consistent with how Reports are automatically shared when embedded in a shared Dashboards.
You can manage sharing from the Datasets page. For more information, you can find our documentation here
It is now possible to view the exact configuration details used by partner billing to generate each month's customer statement. In addition to storing the configuration used to generate the bill, once a bill is finalized, CloudHealth also takes snapshots of the configuration used and totals of all subsequent generated bills. This can be used to track cost changes detected after a bill is finalized by the cloud provider. This is currently available on the Customer Statements page within the New Experience for AWS and GCP.
The enhanced statement detail view introduces a new feature allowing users to initiate a partner billing rerun independently, eliminating the need for CloudHealth support. If CloudHealth identifies a discrepancy between the configuration applied during the initial statement generation and the one currently in effect, a prompt will provide the choice to produce an updated bill using the active settings. Furthermore, users are granted the adaptability to select whether historical account assignments or the current active ones should be utilized for the process.
In addition to exposing this feature in the UI, CloudHealth also exposed an auditing table through API that includes who and when the rerun request was submitted. The documentation for this is available here
It is important to note that it is not possible to undo a partner billing rerun once it completes.
To enable FinOps practitioners to encourage engineers to take action, we are introducing ‘Waste Identification & Elimination Workflow’. This policy & action driven framework enables your organization to systematically identify, prioritize, remediate, and measure cloud resource waste based on your unique business intent and asset properties.
By seamlessly connecting cloud visibility with operational accountability, the workflow operates across distinct stages to turn optimization insights into tangible business savings:
Visibility & Configurability: Centralize potential savings on the Optimization dashboard (Wasted Resource Summary widget) and tailor your strategy by building custom asset queries or cloning out-of-the-box waste definitions.
Accountability & Actionability: Establish clear ownership by routing automated or manual remediation tickets directly to engineering teams through native Jira Cloud, Email, or Webhook integrations.
To complete the loop by automatically measuring cost reductions and tracking historical financial returns over time via the Realized Savings dashboard across all asset classes is coming soon!
As part of this workflow, we have introduced JIRA Cloud as a first class integration. JIRA Cloud Integration is available under ‘Setup & Configuration’. you can now seamlessly connect your Jira Cloud instance and establish specific Targets. Each Target maps directly to a designated Jira Project and Issue Type, allowing you to route optimization recommendations and remediation tasks straight to the appropriate engineering or operational teams.
You can now review the execution and outcomes of your waste definitions under Governance > Policy Studio via our new policy and action evaluation results.
Please Note: At this time, the Policy Studio exclusively hosts policies related to the Waste Identification and Elimination workflow. We will be gradually expanding this space to bring full-fledged, comprehensive policy integration into the New Experience.
For additional details, refer to the associated Help Center article.
We are introducing two new enriched drilldown views for Azure rightsizing recommendations to provide deeper visibility into underlying asset metrics and resource configurations. The first is a usage metrics drilldown that displays the maximum, average, and minimum utilization data driving the recommendation. Click any resource name to inspect its metric details. The second is an asset details view for the current instance, enabling users to evaluate the dependencies of the asset flagged for downsizing or termination. Click the vertical ellipsis (⋮) icon to access the menu and select View Resource Details.
Note: Metrics for Azure Disks are currently excluded because Microsoft's Azure Monitor service for disks remains in preview. Additionally, metrics for Azure Databricks Workspaces are unavailable, as Azure Monitor does not support metrics for this service
For additional details, refer to the associated Help Center article.
GCP Rightsizing recommendations can now be grouped/filtered based on specific perspectives and perspective groups. ‘Region’ is also available as a filter. We are introducing two new enriched drilldown views for GCP rightsizing recommendations to provide deeper visibility into underlying asset metrics and resource configurations. The first is a usage metrics drilldown that displays the maximum, average, and minimum utilization data driving the recommendation. Click any resource name to inspect its metric details. The second is an asset details view for the current instance, enabling users to evaluate the dependencies of the asset flagged for downsizing or termination. Click the vertical ellipsis (⋮) icon to access the menu and select View Resource Details.
For additional details, refer to the associated Help Center article.
We expanded our Azure coverage to automatically ingest and calculate realized savings for newly released, RI-eligible services. This update introduces comprehensive financial tracking for 11 specialized cloud commitments - including but not limited to AzureFiles, Azure Backup, Azure AI Foundry, Databricks, Azure Data Factory etc. - effectively eliminating a major blind spot in multi-cloud reporting of Return-on-Investement.
For additional details, refer to the associated Help Center article.
The New Experience now supports a mode theme picker. Users can select between their default theme of dark mode or light mode. By default, your theme will match the user preferences you have set in the classic experience, themes will stay in sync between both experiences. In addition to light mode, the dark mode theme colors have been updated to improve contrast and readability.
The theme picker is a "sun" icon in the top-right of the main window.
For customers who want to further style their dashboards, we now supports a HTML widget. This can be used to create stylized tiles that include buttons, banners, or other customers specific branding, or help information.
Inputting unformatted plain text will result in a plain text output that will default to the existing fonts and color patterns.
The new HTML widget can be found in the widget library.
For customers who want to logically group dashboard widgets into sections, a widget type called “Section” has been added.
Sections can be HTML styled, and can contain N number of sub-widgets. After adding a section to a dashboard, customers can then drag widgets into the section.
Sections have three options when it comes to the default behavior of the collapse or show behavior of the section:
Yes - Content is collapsed by default
No- Content is shown by default
Never - Content is never collapsed - use this setting if you wish to create dashboard banners that never hide content
Dashboards now have their own left hand navigation item and can be found under the Home menu item.
Widgets on dashboards can now be cloned
Manage Dashboards has a new layout, and supports favorites to help find your most used dasboards quickly.
Dashboards will now gradually load out-of-view widgets once all visible widgets have finished loading, instead of always waiting until widgets scroll into view. Customers with scrolling dashboards or dashboards with many widgets will see aggregate load time decrease. Customers will no longer need to scroll through all visible widgets in order to load the entirety of the dashboard.
Improved first-time load for report list pages
Resolved an issue where tag values and other joined columns would not display properly in custom report filters
Fixed a bug that caused searching for values in custom report filters to return incomplete results
Removed duplicate queries that would cause “Undefined” to display in the AI & Tokenomics dashboard while the page was still loading
Removed unnecessary page refresh when saving custom or saved reports
Enhanced hourly x-axis label for better readability
On small screens or grids with very many columns and long header names, columns are less likely to overlap
Partner: Switching tenant in another tab is consistent with classic (each tab will be consistent until the next refresh via page or session)