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Documentation - HPE Usage and Analytics

Working with the Public Cloud View

This topic describes the default view for public cloud accounts in the HPE Consumption Analytics platform. 

HPE GreenLake Accounts

If you're an HPE GreenLake account holder, please see topic The HPE GreenLake Customer View for a description of your account's default view.

The pages in your view, and the contents of each page, might be slightly different if a HPE Consumption Analytics portal administrator has made modifications to the page.

Summary page

The Summary page provides a summary view of cost data.

Use the Period fields to change the range of data displayed on the page. Use the Filters field to change the type of data displayed on the page.


By default, the Summary page includes the following charts and report.  For more information, see Working with charts and reports.

  • Top 5 Service Categories donut chart showing the top 5 services with the highest cost.
  • A Total Cost chart showing the cost of your cloud over time.
  • An Insights summary providing a summary of the ways the HPE Consumption Analytics platform has identified for you to improve the cost and efficiency of your cloud. For example, you can be alerted when the cost for a department increases suddenly, or when you are paying for a VM no one is using.
  • A Provider Trend combo chart, which shows the daily total cost of services from each provider in your cloud, over time. The bar for each day shows the relative cost for each of those services.
  • A Service Drilldown report that shows details about usage and cost for different services in your organization.
Video example

The following video shows you how to use the Summary page of your Public Cloud View to see your cloud’s usage and cost: 

Reports page

For more information about working with the chart and report widgets on this page, see Working with chart and report widgets.

The Reports page enables you to display and filter all of the reports you have permission to see.

  • Use the Report field to choose a report to display.
  • The Period fields identify the range of data displayed in the report. You can select a predefined range, or use the date fields to enter a custom range. If the report creator specified a date range when creating the report, that range appears in the Period fields when you first open the report.
  • Use the Filters field to change the type of data displayed in the report.


If you have the Manage Personal Reports permission, you can click the + icon to create a new report. For more information and step-by-step instructions for creating reports, see Creating Reports.

If you no longer need a report in your view, you can click the ellipsis icon and then select Delete.

Editing a report

If you have the correct permission, you can edit the content and format of reports. For example, you might want to add a new column.

  • If you have the Manage Personal Reports permission you can edit your reports.
  • If you have the Managed Shared Reports permission you can edit reports shared with multiple users. If you edit a shared report, that report is changed for all users with permission to see that report.

To open a report for editing, click the ellipsis icon and then select Edit. For detailed information about editing reports, see Reports.

Saving a report

If you have changed the display of a report, and you know you will need to use that configuration in the future, save those changes as a new report. Reports saved in this way are available only to you.

To save a report

  1. Use the Time Period and Filters fields to adjust the data you want displayed for the selected report.
    For example, if you want to show data in the Account Product Charges report only for the last 7 days, in the Time Period drop-down box select Last 7 Days.
  2. Click Save.
    The Name New Report dialog box displays.
  3. Enter a Report Name.
  4. Click Save.
    The new report is available in the Report field selection list.

Exporting a report 

If your administrator has given you the Export Analytics Content permission, you can export a report to create a local copy. 

When you export a pivoted field to PDF, the exported report appears as it does in HPE Consumption Analytics portal. When you export a pivoted field to CSV, the report is not pivoted, because more granular data is better as an input for a billing system or other software application, which is the likely consumer of a report exported to CSV.

 To export a report

  1. Select the report you want to export.
  2. Click the Export icon.
  3. Select a file format.
    HPE Consumption Analytics portal adds the file to your browser's download directory.

Video examples

The following video provides an overview of the Reports page in your view, and helps you understand how to open and filter reports:

The following video shows you how to save a personal version of a report and how to export report data:

The following video shows you how to create and edit personal reports, enabling you to see your cloud usage and cost information. You must have the Manage Personal Reports capability to do this.

Budgets page

The Budgets page enables you to define one or more budgets, and tracks your cloud spending against those budgets. Your view shows budgets you created, which are visible only to you, and budgets that others have shared with you.

An arrow on the budget line indicates today's date in relation to the time span of the budget. Each budget line is either green, orange, or red, depending on whether you are within your budget, projected to be over your budget, or already over your budget.

The Budgets page in your view begins with budgets for your most expensive service categories. You can edit these budgets, and create new budgets that suit your needs. Your budgets are available only in your view.

You cannot edit a budget that has been shared with you, but you can view all of its details. Click the view budgets details (eye) icon to see the charts and tables that show target and actual values over time.
Note that if you are an admin and have the Manage Shared Budgets capability (see Permissions) you can create budgets that can be shared with others.

To create a budget

  1. On the Budget page, click Add New.
    The Budget Editor dialog box appears.
  2. In the Budget Configuration section, choose the interval and date range. For example, you can create a quarterly budget for the current fiscal year, or create a monthly budget for a project that ends four months from now.
  3. In the Interval field, set the monthly, quarterly, or yearly interval you want to track
    In the Budget Starts and Budget Ends fields set the first and last periods covered by the budget, which might be months, quarters, or years as set in the Interval.
  4. In the Budget Configuration section, choose whether this budget will have a single overall target or targets for each value of a particular field in your data. For example, if you are creating a budget for your own department, a single target is all you need, and the Budget Targets table displays a single row.
    However, if you are creating a budget to cover each department in your division, choose to target Per Field Value by your department field. This gives you a row in the Budget Targets table for each value in that field so that you can set a target for each department. As the engine continues to collect usage data, if usage comes in for a new department that new name is added to this table. If you chose Per Field Value in Targets, you can choose a particular field in your data to track.
  5. In the Filters section, you can filter the data that is considered by the budget to create a budget focused on a specific piece of your cost. Filters are important for a single-target budget so you can filter the data to that department.
    1. Click Add New Filter.
    2. In the Filter Manager, click Filter Field to open up a list of fields to choose from. Choose a field on which to filter.
    3. Click Operator to choose how you want to filter the data field.
    4. Click Selected Values to choose which values in your data you want to filter upon.
    5. Click Save.
  6. In the Budget Targets table, double click the data cells in the Targets column to enter your target cost values. They can vary from one period to the next.
    The Budget Targets table shows your budget data. For current and past periods, the HPE Consumption Analytics platform shows your actual cost and the difference between the two. In the Difference column, a red value in parentheses indicates a period where you are over budget.
    The Actuals vs. Targets charts show you the same information visually that is in the table. For a budget with targets per field value you get a breakdown of the current period by target, and you can choose which of those targets to view in the historical chart, including the total of them as an overall budget.
  7. Click the save icon. In the Save Budget dialog:
    1. Name your budget and type a description.
    2. In the Send email notification at threshold(s) field, select thresholds that generate an email to you when reached. For example, if you select a threshold of 90%, and your monthly budget is $30,000, HPE Consumption Analytics portal notifies you by email when the cost for any month reaches $27,000.
    3. In the Send email notifications if budget is projected to exceed target field, you also can specify notifications when your cost is projected to exceed a budget target. As long as your cost remains projected to exceed the target during the period, The HPE Consumption Analytics platform continues to send notifications either daily or weekly to help you adjust your consumption to meet the target.
    4. Click Save.

When your budget is complete, you can export it to CSV to work with the target, actual, and difference amounts in another application.

Video example

The following video shows you how to set and monitor budgets in your default view:

Forecasting page

The Forecasting page enables you to project the future of your cloud based on historical data. You can use these forecasts to plan how you want to manage your cloud, and to plan future budgets. The graph displays historical data in solid bars, current data in striped bars, and forecasted data in empty bars. Mouse over any bar to see details for the data it represents. A table under the graph shows detailed information for each item being forecast.

To forecast usage

  1. In the Base Forecast On field, select the amount of historical data you want used to make the forecast.
  2. In the Forecast Period field, select the number months into the future you want the forecast to extend.
  3. In the Value field, select the numeric field you want used for the forecast.
  4. In the Group By field, select the field you want forecasted.
  5. If you want to hide historical data in the display, uncheck the Show Actuals option.
  6. If you want to see detailed information about the forecast, click Expand Details icon.
  7. If you want to export the details of your forecast, click the Export icon.
Video example

The following video shows you how to use forecasts to project the future of your cloud based on historical data:

Cost Efficiency page

As public cloud providers offer new services and new pricing, it's good practice to evaluate your public cloud workload performance and cost on a regular basis.  The HPE Consumption Analytics platform helps you review the trend of daily total usage and daily average cost over time, so you can see how well you're doing with respect to cost optimization.  For example, if your total usage of virtual machines and the average cost have stayed relatively the same over the last few months, there might be cost savings opportunities available to you, in terms of commitment-based pricing options such as reserved instances, or right-sizing, or termination. 

The Cost Efficiency page in the Public Cloud View provides daily usage hours and daily average cost per hour for the compute and relational database services consumed on AWS and Azure. You can use the Period fields to change the range of data displayed on the page. 

  • If you enable HPE Consumption Analytics platform to collect AWS billing data, the cost efficiency graphs for AWS EC2 and AWS RDS will display. 
  • If you enable HPE Consumption Analytics platform to collect Azure billing data, the cost efficiency graphs for Azure VM and Azure SQL Database will display. 


You can download the tabular data by clicking the Download to CSV icon..

The data for cost efficiency is available back to August 25, 2019.

Working with the Cost Efficiency page for AWS

HPE Consumption Analytics platform uses the following cost and usage records to find total instance hours and the corresponding cost for the average cost per hour:

  • For AWS EC2: On-demand, Reserved Instance, Savings Plans, and Spot.
  • For AWS RDS: On-demand and Reserved Instance.

HPE Consumption Analytics platform calculates the daily average cost by dividing the daily total cost by the daily total instance hours.

If you use the AWS Cost and Usage Billing Report (CUR) in setting up your collection, the Reserved Instance and Savings Plans all upfront and partial upfront fees are included in the total cost used in calculating the average cost per hour. If you use the legacy AWS Detailed Billing Reports (DBR), those fees are not included. Therefore, if you switch from the DBR to the CUR, the average cost per hour will be lower using the DBR data than using the CUR data. 

The Detailed Billing Reports feature in AWS is deprecated in favor of the Cost and Usage Report.  It is unavailable for new AWS customers as of July 2019. 

Working with the Cost Efficiency page for Azure

HPE Consumption Analytics platform uses the following cost and usage records to find total instance hours and the corresponding cost for the average cost per hour: 

  • For Azure Virtual Machine: On-demand, Reserved Instance, and Spot. The software license cost is not included. 
  • For Azure SQL Database: On-demand and Reserved Instance. Services include Azure SQL Database, Azure Database for MySQL, Azure Database for MariaDB, and Azure Database for PostgreSQL. Only database services metered by vCore, not DTU, are included in the calculation. 
  • If the source data was delayed from Azure, or later updated by Azure, the data for the past 7 days may not reflect the actual average cost and instance hours.
  • The cost efficiency data is computed based on Azure EA collection data only. 
  • Currently, HPE Consumption Analytics platform uses the billing data from the Actual Cost data set.  A future enhancement to use the billing data from the Amortized data set will include the Reserved Instance upfront fee.