Why Pepperdata?

Automatic Cost Management

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Automatic Cost Management

Pepperdata’s real-time cloud cost optimization is the only solution that addresses in-application
waste automatically.

Pepperdata’s real-time cloud cost optimization is the only solution that addresses in-application waste automatically.

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    Reduces dependence on manual tuning and applying recommendations.

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    Eliminates the waste inside the application
that other optimizations don’t address.

Continuous Intelligent Tuning

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Continuous Intelligent Tuning

Pepperdata provides ongoing, uninterrupted resource-aware optimization automatically—even at scale.

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    Runs 24/7, constantly calibrating application resources based on changing needs.

    Ensures ongoing, uninterrupted optimization—even at scale.

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    Adapts systems to actual resource usage in real-time so you only pay for what you use.

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    Saves your developers time and effort by removing the need for manual tuning.

Trusted by

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

Why Customers Love Pepperdata

If you’re running Spark, give us 6 hours.
We’ll save you 30% on top of everything you’ve already done.

Autodesk Reduced EC2 Costs by 50%

Autodesk Reduced EC2 Costs by 50%

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    Challenge

    Autodesk was experiencing runaway costs as it scaled its Spark workloads.

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    Solution

    Autodesk installed Pepperdata Capacity Optimizer to automate cloud cost optimization in real time.

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    Results

    Autodesk successfully reduced Amazon EC2 costs by over 50 percent.

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Lee G.
Mid-market organization

“Save money on your big data workloads”

“The capacity optimizer has been proven to save a lot of money. What I like best about the product, though, is the support we have received throughout our journey of migrating our EMR clusters from EC2 to EKS.”
—2/13/2024

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Rahul C.,
Senior Director,
Enterprise Company

“Saved 75% cost on [Amazon] EMR”

“The 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.”
—5/23/2024

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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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“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.

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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.

Explore More

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.