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Cost Optimization Track

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Pepperdata Capacity Optimizer

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

Additive to All Cost Savings Strategies

After you’ve implemented nearly four tools from your toolbox, turn on Pepperdata.
We’ll still save you money.

Visibility tools

Cost observability dashboards

Spot instances

Reserved instances

Savings plans

Manual tuning

Configuration tweaks

Instance rightsizing

Container rightsizing

Pod rightsizing

Cloud autoscalers

Cloud-provided cost management tools

Reduce Operational Costs, Maximize Savings

*Statistics captured from our TPC-DS Benchmark


Increased CPU utilization compared to the AWS autoscaler


Autoscaling cost savings over the default EKS autoscaler


Instance hours reduction

*Metrics from TPC-DS Pepperdata on Amazon EMR Benchmark 2021 (for 157%, 38 %); TPC-DS Pepperdata on Amazon EKS Benchmark 2022 (for 35%) based on 1 TB dataset, 30 nodes, 225 executors, 103 jobs. 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.

Customers Love Pepperdata

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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.
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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

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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.

Try us for Free for 15 Days


Step 1:

Guided install of Pepperdata’s bootstrap script on your cluster


Step 2:

Login to your customer dashboard to visualize your cluster’s waste and savings


Step 3:

Start saving immediately—up to 38%

Explore More

Looking for a safe, proven method to reduce waste and cost by up to 50% and maximize value for your cloud environment? Sign up now for a 30 minute free demo to see how Pepperdata Capacity Optimizer Next Gen can help you start saving immediately.