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Slash Your Cloud Costs by up to 47% Immediately

Real-time, automated cost optimization for Amazon EMR and Amazon EKS with no manual tuning, no recommendations, and no application code changes.

Achieved more than 50% reduction of instance costs for a savings of over $1.1 million over 14 months.

Ran 50% more tasks on one of their largest clusters.

Achieved a 30% cloud cost reduction within a week and an average monthly savings of $7800.

Achieved a 95% infrastructure utilization and a 23% cost savings on Amazon EMR.

Achieved almost $5 million in annualized savings and exceeded 200% ROI.

Achieved annualized savings of over $600K.

Achieved a 24% increase in task performance and saved $30K in three months.

Achieved 30% uplift in YARN resources and saved thousands of hours of core and memory waste.

Achieved up to 36% savings on core production Amazon EMR clusters and a total of $225K in monthly savings.

Achieved more than 50% reduction of instance costs for a savings of over $1.1 million over 14 months.

Pepperdata Capacity Optimizer
Next Gen

Run more work per node. Deploy fewer nodes.

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    Maximize resource utilization continuously

    Pepperdata intelligently increases resource utilization by evaluating actual instead of allocated resource utilization

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    Optimize autoscaling second-by-second

    Pepperdata ensures new instances are added only when existing instances are fully utilized

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    Reclaim waste in real time

    Pepperdata instructs the scheduler to remove capacity from overprovisioned applications

Pepperdata Complements and Augments
All Platform Infrastructure Cost-Savings Strategies

You’re probably optimizing your platform infrastructure with a variety of techniques, but there’s still waste inherent in your applications. Pepperdata’s Continuous Intelligent Tuning fixes that for you automatically.app level framework figma

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Reduce Operational Costs, Maximize Savings

*Statistics captured from our 2023 benchmark work on Amazon EKS

41.8%

Cost Savings: Reduced instance hour consumption

45.5%

Improved Performance: Decreased application runtime

26.2%

Increased Throughput: Uplift in average concurrent container count

*TPC-DS is the Decision Support framework from the Transaction Processing Performance Council. TPC-DS is an industry-standard big data analytics benchmark. Pepperdata’s work is not an official audited benchmark as defined by TPC. TPC-DS benchmark results (Amazon EKS), 1 TB dataset, 500 nodes, and 10 parallel applications with 275 executors per application.

DOWNLOAD THE BENCHMARK REPORT

Pepperdata Provides Immediate Value for Your Augmented FinOps

FinOps is a union between two departments: Finance and DevOps. Pepperdata amplifies the success of FinOps teams through its real-time, autonomous and continuous cloud cost optimization solution.

finops principles
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    Cloud Spend Transparency

    Know exactly where and how your money is being spent in all of your cloud workloads to immediately reduce your spend.

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    Machine Learning Enabled Resource Utilization

    Pepperdata uses Machine Learning to optimize your spend so you pay only for the resources you actually use.

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    Continuous Intelligent Application Tuning

    Pepperdata automates application tuning in real time so your workloads are maintained in their optimal sweet spot continuously and autonomously.

READ MORE ABOUT AUGMENTED FINOPS

Customers Love Pepperdata

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Pepperdata Enterprise
Suite Reviews

4.6
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Pepperdata Cloud Performance

4.6

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Cloud Cost Management

CloudCostManagement UsersMostLikelyToRecommend Nps 368x478 copyCloud Cost Management

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“Pepperdata lets us see inside our ephemeral clusters even after they’ve been deleted.”

Being able to see the memory, cpu, io and other cluster metrics help us to appropriately size the clusters and tune our jobs.
Review collected by and hosted on G2.com.

gartner peer insights

Chief Data Architect, DPI

“The Missing Link In Large Scale YARN Cluster Management”

Getting up and running effectively took a little time, but now that we use of the product for ongoing monitoring and operations it’s hard to understand how we were getting by without it.

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Sr. Software Engineer, Cloud Infrastructure

“Best for spark application monitor”

Easy to navigate for all metrics related to spark job, capture all yarn-related metrics. we can search by application id easily. multiple realm is also useful for EMR spark

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Consultant, 08/28/2022

“Pepperdata helps us in optimizing our day to day tasks.”

Its easy to go through the UI and get the stats of the tasks and see the errors and optimize them accordingly. Review collected by and hosted on G2.com.

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Associate Software Engineer, 08/23/2022

“Pepperdata & Big Data Positives”

Pepperdata has been essential for my team. We use Apache data aggregation tools at scale; Pepperdata helps us to monitor memory and CPU usage with easy-to-read visualizations, warnings, and metrics.

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Looking for a safe, proven method to reduce waste and cost by up to 47% and maximize value for your cloud environment? Sign up now for a free savings assessment to see how Pepperdata Capacity Optimizer Next Gen can help you start saving immediately.