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January 7, 2025
Savings Plan recommendations for single accounts generates a recommendation based on the data in one or more single accounts. Using this option can help you empower teams to make their own decisions about Savings Plans, but may not be the most efficient option for the organization as a whole.
CloudHealth creates a Savings Plan hourly commitment recommendation based on usage data from a specified billing account or multiple specific accounts, for a specified period of time.
To create a recommendation, go to Recommendations > Savings Plans, and specify the recommendation constraints:

Savings Plan recommendations can take a few minutes to be created. Only one recommendation can be created per account, per day.
When the single account recommendation scope is selected, you specify the time period and payment option for the quote. Quotes are generated for each account selected.
1 Year No Upfront is the least expensive Savings Plan, but also has the lowest discount compared to On Demand pricing. 3 Year All Upfront is the opposite: it is the most expensive Savings Plan, but also the highest discounts compared to On Demand pricing.
Each quote summary includes the following information:
Account: Shows each quote grouped by account selected. You can review quote details for a specific quote by clicking the three dots and selecting View.
Term: The payment term selected: 1 year or 3 years
Offering: The offering type selected: All Upfront, Partial Upfront, No Upfront
Status: Displays one of the following:
Age (Days): The last time the quote was generated, in days.
Hourly Commitment: The committed spend per hour for the Savings Plan. This is the key attribute you'll need to purchase your Savings Plan, and is associated with the Savings Plan throughout the Plan's lifetime.
Total Upfront Cost: The total amount that you must pay upfront for this purchase option.
Monthly Savings: How much per month your organization saves by purchasing the Savings Plan, based on the usage in the evaluation period.
Effective Discount: The estimated cost savings, in percent.

To review detailed information about a single account quote, select the icon in the Account column, and then click View. You can also change the Recommendation Option and select Refresh to view how your choices impact the quote.
To return to the main Savings Plan Recommendations page, click Back. You can also export the graph or table data as a CSV.
If you decide to purchase the Savings Plan in the quote, you can click Purchase Savings plan to start the process. When purchasing a Savings Plan for a single account, ensure that the IAM policy for the account is set so that CloudHealth has permission from AWS to make the purchase on your behalf.
This section provides an overview of before and after rates for discounts and coverage, as well as the estimated monthly spend and savings with the selected quote.
This section includes the following information about your quote:
This section provides a chart, detailing how the Savings Plan quote might impact your organization.
The chart tracks the following values:
You can compare the actual On Demand hourly cost with the applied value of commitment to determine how often the Savings Plan hourly commitment amount is higher or lower than the actual usage:
Depending on your historical usage, it may be impossible to avoid periods when your actual usage does not meet or exceed the applied value of Savings Plan commitment. If the amount of unused Savings Plan commitment concerns you, you can return to the main Savings Plan Recommendations page and lower the total coverage percentage.
The Commitment Impact by Instance Family table details how the quote would affect each instance family in the account. Each column includes the following information:
If your historical usage has been steady and mostly unchanged from day to day, CloudHealth can confidently recommend a high coverage Savings Plan. In this scenario, the default recommended Savings Plan would be both high coverage and high cost savings.
However, if you anticipate that your usage levels may drop (or rise), then you should manually adjust the hourly commitment amount or the total coverage percentage to better match your organization's anticipated usage.
If your historical usage fluctuates, resulting in spikes and dips in usage, then CloudHealth recommends a best fit Savings Plan that results in the greatest savings, given the historical usage data, but not necessarily the highest coverage. If a Savings Plan commitment is high enough to cover all the spikes in usage, then your organization loses money when the usage drops. The default recommended Savings Plan anticipates some periods where the Savings Plan commitment amount exceeds the hourly usage amount - resulting in unused commitment - but overall results in the greatest cost savings for your organization.
If your historical usage includes both workloads that get high Savings Plan discounts and workloads that get low Savings Plan discounts, the discount rate varies more drastically as you configure higher and lower coverage rates or commitment amounts.