Viewing Potential Savings

Important:The Manage organization or View cloud costs role is required to access the Optimization page. For complete descriptions of each role available in Flexera One, see Flexera One Roles.

This section describes the features and business value provided on the Optimization page (Cloud > Cost Optimization > Optimization) and provides the following subsections:

Total Potential Savings
Setting Up Recommendations
AWS Discount Program Coverage

You can also view potential savings within a billing center. For more information, see Viewing Potential Savings in a Billing Center.

Total Potential Savings

On the Optimization page, the Total Potential Savings chart shows how much spend could be saved per month for your organization. Using the Billing Centers dropdown list, you can home in on the specific cost center or line of business you desire to investigate. In the Total Potential Savings section, clicking All Recommendations—navigates you to a table describing each specific recommendation and the potential savings for that recommendation. Clicking the specific recommendation link in the table takes you to an even more detailed view of the recommendation findings.

Flexera recommendations are created from our powerful Automation capability and Policy templates, allowing organizations to quickly add and customize recommendations. Recommendations provide some distinct advantages over recommendations provided directly by your cloud provider.

Flexera recommendations are configurable allowing you to choose different parameters to meet your business needs.
Flexera recommendations are associated to billing centers allowing cost center owners to view the potential savings specific to their line of business.
Flexera recommendations are included for multiple cloud providers in a single view.
Flexera recommendations show savings based on actual cost of resource versus public pricing.

Total Potential Savings are tracked in two distinct categories: Rate Reduction and Usage Reduction.

Note:Consider the following:

Relevant properties (columns) are displayed by default in the Rate Reduction and Usage Reduction recommendations tables.
You can group recommendations by relevant properties (columns) to draw additional insights. For more information about the Group by capability, see Group By Capability in Recommendations Tables.

Rate Reduction show what you might save per month by using a discount program, such as reserved instances, from a cloud vendor. The savings are aggregated from the output of Flexera’s cloud automation engine. See the following table for a description of the specific, automated recommendation policies and versions used by Flexera to aggregate the potential savings. Policies with version 2.6 or higher will need to be applied by your organization to gather the potential savings. See the Setting Up Recommendations section for more information.

Click the link in the Policy Name column to access the corresponding policy template.

Policy Name

Description

Version

AWS Reserved Instances Recommendations

Identifies AWS RIs to purchase and calculates savings.

2.6 or higher.

AWS Savings Plan Recommendations

Identifies AWS Savings Plans to purchase and calculates savings.

2.6 or higher.

Azure Reserved Instances Recommendations 

Identifies Azure RIs to purchase and calculates savings.

2.17 or higher.

Azure Savings Plan Recommendations 

Identifies Azure Savings Plans to purchase and calculates savings.

1.0 or higher.

Google Committed Use Discount Recommender 

Finds Google Committed Use Discount Recommendations and reports when it finds them.

2.0 or higher.

Usage Reduction show what you might save by eliminating waste in your cloud ecosystem. See the following table for a description of the specific, automated recommendation policies and versions used by Flexera to aggregate the potential savings. Policies will need to be applied by your organization to gather the potential savings. See the Setting Up Recommendations section for more information.

Click the link in the Policy Name column to access the corresponding policy template.

Policy Name

Description

Version

AWS Old Snapshots 

Checks for snapshots older than specified number of days and calculates savings if deleted.

3.3 or higher.

AWS Rightsize EBS Volumes 

Finds AWS GP2 volume types and recommends them for an upgrade to GP3, if this would result in savings.

2.0 or higher

AWS Rightsize EC2 Instances 

Checks for EC2 instances that have inefficient utilization for a specified number of days and downsizes or terminates them after approval.

2.0 or higher

AWS Rightsize RDS Instances 

Checks for RDS instances that have inefficient utilization for a user-specified number of days and downsizes or deletes them after approval.

4.0 or higher

AWS Unused IP Addresses 

Checks AWS for unused IP Addresses and calculates savings if deleted.

3.4 or higher.

AWS Unused Volumes 

Checks for unused volumes and if no read/write operations performed within a specified number of days and calculates savings if deleted.

3.3 or higher.

Azure Old Snapshots 

Checks for snapshots older than specified number of days and calculates savings if terminated.

3.0 or higher.

Azure Rightsize Compute Instances 

Checks for instances that have inefficient utilization for the last 30 days and downsizes or deletes them after approval.

1.0 or higher.

Azure Rightsize Managed Disks 

Finds underutilized managed disks and recommends downgrading the managed disk tier, if this results in savings and satisfies required usage levels.

2.0 or higher.

Azure Rightsize NetApp Files 

Checks for oversized NetApp capacity pools and suggests recommendations for rightsizing the capacity pools and volumes to optimize efficiency and reduce costs.

1.1 or higher.

Azure Rightsize SQL Databases 

Checks for SQL database instances that have inefficient utilization for the last 30 days and downsizes or deletes them after approval.

4.0 or higher.

Azure Unused IP Addresses 

Checks for unused IP addresses in the given account and calculates savings if deleted.

3.0 or higher.

Azure Unused Volumes 

Checks for unused volumes older than specified number of days and calculates savings if deleted.

3.0 or higher.

Google Cloud SQL Idle Instance Recommender 

Finds Idle Cloud SQL Instance Recommendations and reports when it finds them. You can then delete the idle volumes.

2.0 or higher.

Google Idle IP Address Recommender 

Finds Idle IP addresses and reports when it finds them. You can then delete the idle IP Addresses.

2.0 or higher.

Google Idle Persistent Disk Recommender 

Finds Idle Persistent Disk Recommendations and reports when it finds them. You can then delete the idle volumes.

2.0 or higher.

Google Rightsize VM Recommender 

Finds underutilized and idle Google VM instances and downsizes, stops, or deletes them after approval.

1.0 or higher.

Group By Capability in Recommendations Tables

In the Rate Reduction and Usage Reduction recommendations tables (Cloud > Cloud Optimization > Optimization and Cloud > Cost Optimization > Billing Centers), you can group recommendations by relevant properties (columns) to draw additional insights.

To group recommendations, simply drag the relevant properties (columns) in the Group by panel. The Group by panel is located above the recommendations table and can also be accessed by clicking the Columns button. You can use the following properties (columns) to group recommendations:

Recommendation
Policy Set
Billing Center
Service
Resource Type
Resource ID
Region
Account Name
Account ID
Cloud
Term
Payment Option
Platform
Scope
DB Edition
License Model
Deployment Option
Resource Name
Lookback Period
Size
State
Recommended Resource Type
Threshold
Threshold Type
Type.

Note:You cannot group recommendations by Utilization and Tags properties (columns).

Setting Up Recommendations

This section describes how to set up recommendations.

To set up recommendations

1. Create the Flexera Credentials for your cloud(s). Click the recommendation name in the table above for the permissions needed for each of the recommendations. Add the credentials by navigating to Credentials page (Automation > Credentials). Create the credentials in the “Master” account.
2. Use the Flexera Automation Catalog to apply the policies for the recommendations from the tables above. Use the Parameters to decide which options fit your savings options needs. Go to the Automation Catalog page (Automation > Catalog) and find the Recommendations listed below and apply the policies. The policies need to be applied in the same account where the credentials were created. Policies must be applied to the “Master” account.

Note:The minimum version is recommended for the best experience for Spend Recommendations. Using earlier versions may cause incomplete data.

AWS Discount Program Coverage

Another graph available is the AWS EC2 Running Cost by Purchase Option. This shows the percentage of coverage of various discount mechanisms. The four categories are On Demand, Savings Plan, Reserved, and Spot.

This graph appears for organizations that have enabled reserved instance reallocation and savings plan reallocation. When these are enabled the purchase amount for the discount program is spread to the resources where those discounts are used. This shows the discounted cost of those resources, rather than showing no cost. Contact Flexera Support if you would like reallocation enabled.