• 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.

Related Content

Capacity Optimizer Datasheet
Datasheets

Capacity Optimizer Datasheet

Design 7

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 Cost Optimization Proof-of-Value to see how Pepperdata Capacity Optimizer can help you start saving immediately.