• Group 2667

    Who should watch:

    Platform Engineers, Architects, FinOps Leaders, Platform Budget Owners, and AWS Admins

  • Group 2679

    Problems addressed:

    Wasted resources and unoptimized autoscaling

  • Group 2679 2

    What you will learn:

    How to save money with Pepperdata Capacity Optimizer by reducing the instance hours runtime needed for data-intensive workloads and enhancing the efficiency of the Amazon EMR autoscaler.

Pepperdata Savings Assessment

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Interested in learning how much your Amazon EMR environment can save? Sign up for a Free Pepperdata Savings Assessment to learn:

  • Estimated savings from running Pepperdata Capacity Optimizer in your Amazon EMR environment
  • Total estimated waste in terms of instance hours, memory hours, and core hours
  • Top 10 most wasteful queues by instance hours, memory hours, and core hours wasted

Related Content

Capacity Optimizer Datasheet
Datasheets

Capacity Optimizer Datasheet

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Pepperdata for Amazon EMR Solution Brief

Pepperdata Decreases Instance Hours/Cost by 38% on Amazon EMR
Benchmarks

TPC-DS Benchmark Report: Benchmark Shows Pepperdata Decreases Instance Hours/Cost by 38% on Amazon EMR

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 savings assessment to see how Pepperdata Capacity Optimizer can help you start saving immediately.