What Pepperdata Does
Pepperdata Capacity Optimizer increases utilization levels of GPU, CPU, and memory by up to 80%—automatically, continuously, and in real time—to deliver an average of 30% cost savings to run Kubernetes workloads.
Fill out the form to see how much Pepperdata Capacity Optimizer automatic resource rightsizing can save you—100% ROI guaranteed.
No Manual
Config Tuning
No Applying Recommendations
No Application
Code Changes
Case Studies
Autodesk Improves Resource Utilization and Reduces Amazon EMR Costs by 50% with Pepperdata
Digital Ad Platform for FinServ Saves $900K+ Annually with Pepperdata on Amazon EKS
Extole Exceeds Expectations for Resource Optimization with Pepperdata to Save 30%
Financial Services Giant Saves $20M with Pepperdata Real-Time, Automated Resource Optimization
Top Online Bank Realizes 30-75% Cost Reductions on Amazon EMR, Invests Savings in Further Expansion
Pepperdata Saves Consumer Internet Company 33% for its Data Workloads on Amazon EKS
FAQs
For Kubernetes: Apache Spark apps, Apache Flink apps, Apache Airflow apps, Jobs, JobController, CronJobs on Kubernetes, custom labeled apps
For YARN: Apache Spark apps, MapReduce apps, Apache Tez apps
Although Karpenter is a better autoscaler than the default cluster autoscaler, it still makes decisions based on resource allocations and not actual, physical, hardware utilization, unlike Capacity Optimizer.
Capacity Optimizer uses actual utilization to determine how many resources are available in real time and informs the scheduler so that more pending pods can be launched on the same node.
LEARN HOW PEPPERDATA HELPS KARPENTER WORK BETTERIf you use just a handful of instances in the cloud, an engineer might help you optimize that workload. However, with larger-scale operations, it is impossible to do what Capacity Optimizer does.
Capacity Optimizer works directly with the native Kubernetes or YARN scheduler to make hundreds and thousands of decisions in real time, around the clock. Capacity Optimizer operates in the background, autonomously and continuously, optimizing your cloud or on-premises environment in a way that far exceeds what even the most diligent engineer would be able to accomplish.
SEE WHY MANUAL TUNING FAILSCapacity Optimizer typically installs within an hour on most enterprise environments. As soon as optimization is enabled in your cluster, you will start to see waste and cost savings on your Pepperdata-provided dashboard.
