vCPUs optimized per year
Pods optimized per year



You’re running thousands of workloads and millions of pods, and their resource needs are changing every day. You can’t tune every workload. Pepperdata Capacity Optimizer works automatically in real time to cut your costs by up to 75%.
The install process is completely self-service without any sales calls needed – and it’s free to try.
Customers experience 100–660% ROI with Pepperdata.
Recover investment within 3–6 months on top of ongoing increased utilization and savings.
You don’t pay if you don’t save.
Bonus: Engineers can now reinvest time spent tuning apps or applying recommendations to revenue-generating innovation.

Recovered thousands of dollars per day through a 30% automatic efficiency improvement for its on-prem workloads → Now reinvesting savings into bolstering Kubernetes workloads.
Saved up to 75% in workload costs across its Amazon EKS clusters → Now migrating even more workloads to the cloud for GenAI projects.
Reduced instance hour costs by 50% to save $1.1 million over 14 months on Amazon EMR → Now running more clusters and applications with significantly reduced engineering time.
Looking for a safe, proven method to reduce resource waste and cost by up to 75% and maximize value for your cloud environment? Sign up now for a free Capacity Optimizer demo to see how you can start saving immediately.