Cloud Analytics reports give you instant visibility into your Google Cloud, AWS, and Microsoft Azure costs. You'll be able to slice and dice your cloud spend and uncover cost and performance optimization opportunities for your organization.
- Cloud Analytics
To access Analytics reports, select Analytics from the top navigation bar, and then select Reports.
There are two types of reports: Preset reports, and Custom reports.
You can create your own custom report based on an existing report, or completely from scratch.
Select a report name on the main Reports screen to view the report.
Select the three dots menu (⋮) in the report title bar and choose Report configuration to view the report details.
Permissions on custom reports
A custom report is visible only to those with whom the owner has shared it. See Share reports: Summary for quick reference.
If you've set up the Organizations feature, note that reports shared outside an organization are not visible within.
Users with the Admin role can bulk edit permissions on custom reports that have been shared with them.
Select the checkboxes of the target custom reports.
Select Edit permissions.
You can change the permission of individual users or your whole team to Viewer, Editor, or remove their access. You can also transfer the ownership of a report to an individual user.
Be aware of the following limitations when running reports:
DoiT Reports API is an easy-to-use RESTful API. It allows you to programmatically access Cloud Analytics reports and returns the latest reports data in JSON format.
See Reports API Overview for more information.
When are the metric amounts (Cost, Usage, etc) for a day counted as "final"?
You can consider numbers final for 3 days after the date. With that in mind, there is no SLA for this and numbers can change any time if there are corrections or delays that needs to be applied.
Are the reports back-filled/updated, and at what frequency?
Cloud Analytics data is updated hourly. However, the freshness of the billing data itself is decided by the corresponding cloud service provider.
What timezone are Cloud Analytics reports based on?
Data from Google Cloud is based on the Pacific Time Zone, while data from AWS and Microsoft Azure is based on the Coordinated Universal Time (UTC).
Timezone is used for time aggregation in reports.