The problem of wasted resources and overspending in Amazon EMR can be solved autonomously and in real time.
Dynamically add and reuse capacity in real time
Safely leverage resources from overallocated applications to underutilized applications
Deploy new instances only when existing ones are fully utilized
Pepperdata’s Capacity Optimizer for Amazon EMR dramatically maximizes efficiency.
Reclaim allocated but unused resources
Utilize instances before adding more
Add tasks to nodes continuously to increase utilization
Getting a data stack up and running is just one step—making sure it’s optimized is the true challenge. Mark Kidwell, Autodesk Chief Data Architect, Data Platforms and Solutions, highlights the results of installing Pepperdata on Amazon EMR.
Reduced cloud costs by 47%
Increased resource utilization from 30–70%
Doubled infrastructure efficiency
Download the case study to read the full story.
Most application deployments are overprovisioned to ensure applications don’t fail from lack of capacity. Pepperdata for Amazon EMR:
Schedules decisions based on actual usage
Allows more workloads to run on the same node
Tunes the cloud autoscaler dynamically to respond to changing application workloads
Read this AWS co-sponsored eBook to learn how cloud application deployments on AWS with Pepperdata can result in up to 47% cost savings across your workloads.