Cloud Cruiser became HPE Consumption Analytics on Nov. 1, 2018. You'll still see the old name in places while we update this site.

 

 

Consumption Analytics Documentation

Home > HPE Consumption Analytics Portal Documentation > Viewing usage and billing data > Working with the default pages > Working with the Public Cloud View > Working with the Cost Efficiency page

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

 

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You can download the tabular data by clicking the Download to CSV icondownload-ico.png.

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

Working with the Cost Efficiency page for AWS

HPE Consumption Analytics Portal 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 Portal 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 Portal 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 Portal 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. 

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