Top 5 KPIs For Measuring Success With AWS Savings Plans

Top 5 KPIs For Measuring Success With AWS Savings Plans

Author:
Amber Gregorio Sr. Product Marketing Manager
Published: July 23, 2020
3 Min Read

According to the man credited with inventing modern business management, Peter Drucker, “If you can’t measure it, you can’t improve it.” This quote illuminates why businesses spend so much time talking about Key Performance Indicators, or KPIs.

Savings Plans (SPs) and Reserved Instance (RI) management can be complicated, as it’s easy to get lost in analyses, while forgetting to take a step back and look at the bigger picture: “How am I doing with Savings Plans? and, “Is all of the time we spend forecasting and planning for discount purchases helping us achieve our business goals?”

To keep a pulse on how businesses measure their success with Savings Plans, we surveyed a small group of our customers (n=30) to find out their preferred KPIs.

We asked them:

  • How do you measure your goals around Savings Plans or RIs?
  • What are the key business metrics or Key Performance Indicators (KPIs) you drive towards in your decision of how much to commit and when?
  • How do you characterize your goals and measure whether your RI/SP strategy was successful?

Our questions were open-ended, and we coded the responses as follows:

aws-savings-plans-kpis

Top 5 KPIs for measuring success with AWS Savings Plans

1. Savings

Not surprisingly, Savings was reported as the number one indicator of success with Savings Plans. After all, it makes sense that savings would be a good way to measure how well you’re doing with a plan designed to save you money!

The Ultimate Guide To AWS Savings Plans

2. Coverage

Not far behind Savings was Coverage. Many businesses are measuring how much of their compute spending is covered by Savings Plans; the more coverage the better because that means you’re spending less money for the same compute power.  We typically recommend that our customers aim for at least 70% of their compute usage to be covered by reservation discounts (Savings Plans and/or Reserved Instances).

aws-savings-plans-kpis

3. Utilization

About a third of the customers who responded told us that Utilization is a key performance indicator for them. This also makes sense, as Savings Plans are a “use-it-or-lose-it” kind of deal. Let me explain: let’s say you commit to spending $10 per hour on compute services, but you only spend $8 in any given hour. The unused $2 is lost – it doesn’t accumulate for usage in the next hour. So, it’s important to make sure you’re utilizing as close to 100% of your Savings Plan purchases as possible.  

4. Waste

On the flip side of Utilization is Waste. In the example above, the unused $2 is considered waste. Just as you want to maximize utilization, you want to minimize wasted spending. So, measuring waste is another great way to see how you’re doing with Savings Plans.  

5. Dollars Spent on Compute

The fifth most important KPI reported was Dollars Spent on Compute. Businesses want to reduce the amount of money they spend per unit of compute power, and Savings Plans help you accomplish this. So, seeing a trend toward cheaper compute power—or consistently cheap compute power—is another indicator that you’re succeeding with Savings Plans.  This metric is akin to Coverage, as the more you are covered by SPs and RIs, the cheaper your cost will be per unit of compute.  

For a deep dive into AWS Savings Plans, check out this webinar replay where two CloudHealth Product Managers discuss everything you need to know about AWS Savings Plans with Amazon’s EC2 Principal Product Manager, Pranesh Ramalingam.  

The Ultimate Guide To AWS Savings Plans
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amber-gregorio-cloudhealth-bio
Amber Gregorio , Sr. Product Marketing Manager

Amber Gregorio is a Senior Product Marketing Manager at CloudHealth by VMware. She and her team own the development and implementation of the go-to-market strategy for the CloudHealth’s industry-leading multi- and hybrid cloud management software. Prior to joining CloudHealth, Amber worked in Product Marketing for an AI-powered customer engagement solution, and spent over 10 years in the financial services industry. Outside of work Amber enjoys weightlifting and competitive powerlifting.

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