Our AWS bill is spiraling out of control, and I want to use Six Sigma to find "waste" in our cloud spend. Can we apply the Lean principle of 'Over-provisioning' to our EC2 instances and use data to right-size our environment? I'm looking for a way to create a repeatable process for cost optimization that doesn't rely on just waiting for the monthly invoice to react.
3 answers
This is a classic "FinOps" use case for Six Sigma. You should start by defining "Waste" in your cloud context—usually orphaned snapshots, unattached IP addresses, and over-provisioned instances. In the Measure phase, pull your AWS Cost Explorer data into a tool like Tableau or Power BI. Use a Box Plot to identify the "outliers" in spend across different departments. During the Analyze phase, you’ll likely find that 80% of the waste comes from 20% of the dev accounts that aren't using auto-scaling properly. By implementing an "Improve" plan that includes automated shutdown scripts for non-production environments, you can achieve a "Six Sigma" level of efficiency in your resource utilization.
Are you using tagging policies to ensure that every dollar spent is actually attributable to a specific project or cost center?
You should also look at "Reserved Instances" vs "Spot Instances." The statistical probability of an interruption is a perfect Six Sigma data point to track.
Maria is right. Balancing the cost savings of Spot instances against the risk of downtime is a textbook application of statistical risk management.
Richard, our tagging is a mess, and that’s the first thing we’re fixing. We can’t "Measure" what we can’t see. We are implementing a mandatory tagging policy as part of our new "Control" phase. If a resource isn't tagged, it gets automatically terminated after 24 hours. This forced compliance will give us the clean data we need to perform a much more granular analysis of our spend per product feature, allowing us to align our cloud costs directly with the value each feature provides to the business.