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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.

Pepperdata customers have saved over $200M

Visit the case study page to learn how Pepperdata optimized Autodesk and Extole’s data-intensive workloads.

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Only pay for what you use

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    Reduce Wasted Instance Hours

    Pepperdata remediates application waste in real time to immediately deliver 30% or more in instance hour cost savings.

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    No Manual Tuning, No Recommendations,
    and No Application Changes

    Pepperdata autonomous optimization ensures your applications are continuously tuned without the need for manual intervention.

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    Meet Price/Performance SLAs

    CPU and Memory are continuously optimized to actual usage levels to enable even the largest, most complex clusters to safely meet stringent price/performance requirements.

Resources

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Case Studies

Pepperdata Saves Large Consumer Internet Company 33% for Apache Spark on Amazon EKS

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E-Books

Autonomous Cost Optimization for Data-Intensive Workloads

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Benchmarks

Pepperdata Reduces the Cost of Running Spark Workloads on Amazon EMR 7.0 by 51%

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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 cost optimization demo to learn how Pepperdata Capacity Optimizer can help you start saving immediately.