18,059,456,915

vCPUs optimized per year

787,081,985

Pods optimized per year

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Amazon Web Services

Microsoft Azure 1

Microsoft
Azure

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Google Cloud Platform

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On
Premises

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Amazon Web Services

Microsoft Azure 1

Microsoft
Azure

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Google Cloud Platform

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On
Premises

Dynamic Optimization for Complex Environments

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%.

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Increase GPU, CPU, and memory utilization by up to 80%

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Boost throughput performance

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Free developers from manual application tuning and tweaking

pods icon co page

Increase GPU, CPU, and memory utilization by up to 80%

autoscaling icon co page

Boost throughput performance

(1) icon homepage pco manual tuning

Free developers from manual application tuning and tweaking

The install process is completely self-service without any sales calls needed – and it’s free to try.

Get Started Today

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    100% ROI Guarantee

    Customers experience 100–660% ROI with Pepperdata.

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    Pays for Itself

    Recover investment within 3–6 months on top of ongoing increased utilization and savings.

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    Risk-Free Optimization

    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.

The World's Largest Enterprises Use Pepperdata at Scale

The World's Largest Enterprises Use Pepperdata at Scale

Maximized Resource Utilization

“Pepperdata allows us to run our infrastructure at 95% utilization. Without Pepperdata, our systems would crash.”

Improved Infrastructure Efficiency and Performance

“Pepperdata Capacity Optimizer helps optimize the efficiency of our infrastructure to reduce our spending on servers; we also now know what’s needed to achieve optimal performance for each workload.”

VP, Big Data Solutions Engineering

50% Cost Savings

“Pepperdata allowed us to significantly increase capacity for our Amazon EMR workloads and reduce our EC2 costs by over 50%. We can focus on our business, while they optimize for costs and performance.”

Mark Kidwell, Former Chief Data Architect, Data Platforms and Services, Autodesk

Application-Aware Observability

“If a job slows down or stops, we can quickly drill down to pinpoint when the trouble occurred and see what activity was occurring or changing on the cluster. We also love to see historical trends over a long period of time because it gives great indications of how we are doing. That capability is invaluable.”

Jesse Escobedo, Director of Engineering, Magnite

Optimizing Resources

“I was thinking there’s no way there’s a 30% overhead in [compute and memory resources] that everyone is paying that isn’t fixed… But you see it in the numbers [with Pepperdata] that it’s true.”

Ben Smith, VP of Technical Operations, Extole

“Great, easy to use product. A must for ETL and Big Data”

“Capacity Optimizer is a simple easy to implement – easy to use application that will save you money right from the get go… Right out of the box you will see a 10 to 15% savings. The support is top notch – they go above and beyond in getting the most out of the product. This is a no brainer for any Big Data workload.”

Verified User, Enterprise Bank

“Saved 75% cost on [Amazon] EMR”

“Capacity Optimizer helped us to reduce the wastage on EMR clusters and increased the efficiency. For one of the clusters – the savings was as big as 75%. For others we are seeing at least 30% savings.”

Rahul C., Senior Director, Enterprise Company

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Recovered thousands of dollars per day through a 30% automatic efficiency improvement for its on-prem workloads → Now reinvesting savings into bolstering Kubernetes workloads.

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READ THE CASE STUDY

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.

Case Studies

Autodesk Improves Resource Utilization and Reduces Amazon EMR Costs by 50% with Pepperdata

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White Papers

The Cost Optimization Imperative for Kubernetes

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Case Studies

Consumer Internet Company Saves 33% on Amazon EKS | Pepperdata

Case Studies

Global Technology Firm Realizes up to 25% Cost Savings on Amazon EMR with Pepperdata

Case Studies

Financial Services Giant Saves $20M with Dynamic Resource Optimization

Case Studies

Extole Exceeds Expectations for Resource Optimization with Pepperdata to Save 30%

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Case Studies

Digital Ad Platform for FinServ Saves $900K+ Annually with Pepperdata on Amazon EKS

Explore More

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.