Analyzing recommendations for purchasing AWS reserved instances

From this page, you can achieve the following goals:

• Determine the total number of AWS reserved instances that you must purchase to obtain cost savings.
• Determine the estimated cost savings that you can achieve by purchasing new reserved instances.

For information about how the recommendation is generated, see AWS-reserved-instance-recommendation.

To analyze recommendations for purchasing AWS reserved instances

1. Access the Reserved Instance Recommendations page
   

   In the navigation pane of the TrueSight console , select Cloud Cost Control and click Cost Optimization > AWS Reserved Instances.
   On the page, click  <Number> New Reserved Instances to Purchase.  
   
   
   The Reserved Instance Recommendations page is displayed. The page contains a Summary section and a detailed table.
   
   
   The Summary section provides a quick overview of the number of reserved instances to be purchased and the estimated savings that you can achieve by purchasing them. The page also contains a table with records that are equal to the number of suggested reserved instances. By default, the information for the last 30 days is displayed.

    

2. Analyze the reserved instance recommendations
   

   Review the Reserved Instance Recommendation table and analyze each recommendation. The column values provide information that you can use to perform the actual purchase of the reserved instances from the AWS portal/

   Column	Description
   Efficiency icon	Every recommendation has an Efficiency icon associated with it. The icon indicates the level of efficiency improvement. It is based on the estimated savings (in $) per month that you can achieve by implementing the recommended actions. One of the following icons is displayed: Icon - Efficiency level  - high   - medium  - low  The thresholds for calculating the efficiency level is defined in the associated optimizer rule.
   Recommendation	A unique identifier per reserved instance suggestion. The identifier has the following format: ri:<Region>:<Instance type>:<Operating system>. For example: ri:us-west-2:m3.large:Windows
   Estimated Savings ($/month)	Potential monthly savings by purchasing the suggested reserved instance. The sum of all the values under this column is displayed as the total estimated savings in the Summary section on the top of the page.
   Offering Class	Type of reserved instance. Possible values are Standard and Convertible.
   Instance Type	A specification that defines the resources (CPU, memory, and storage) for an instance. For example. m1.small, m1.large.
   Operating System	Operating system or platform of the suggested reserved instance.
   Region	Region in which the reserved instance must be purchased.
   Instance Count	Total number of instances to be reserved.

   Tip

   You can quickly filter the table on a column value. For example, a specific account name. To do so:

   a. Move your mouse over the column value that you want to filter the table data on.

   b. If you see the Filter icon next to the value, click the value. Else, the column value cannot be used as a quick filter. The table displays the data based on the applied filter.

3. Review the recommendation details

   For the reserved instance record that you want to view detailed recommendations for, click the corresponding Efficiency icon.
   The Recommendation window opens. You can review the details of the reserved instance to be purchased. The recommendation provides the number, specific attributes such as Offering class, Instance type, and so on; and the potential monthly and annualized savings that you can achieve by purchasing the reserved instances.
   The window also provides the name of the associated optimizer rule and the date when it was last run.
   
   Purchase reserved instances as per the suggested details to achieve the estimated savings. For instructions about purchasing reserved instances, see AWS documentation: Buying Reserved Instances . 

You can save an offline copy of the page as a PDF or an Excel file for reference. To do so, click  and select Export to PDF or Export to Excel.