What workloads does Pepperdata Capacity Optimizer optimize?
Pepperdata Capacity Optimizer autonomously reduces costs for data-intensive workloads such as Apache Spark in the following environments:
- Amazon EMR
- Amazon EKS
- On-premises environments running Apache Spark, Hadoop, and Hive
- Google GKE
- Google Dataproc
Pepperdata works with some of the world’s largest and most complex, multi-tenant, and highly-scaled computing environments, including two of the Fortune 10 and others in the Fortune 100 and 500.
How quickly does Pepperdata optimize my clusters?
Pepperdata immediately reduces instance hours and costs. Savings occur and are visible within the Pepperdata dashboard within about 24 hours.
What level of savings can I expect to receive from Pepperdata Capacity Optimizer?
Depending on your workload, savings typically fall between 30-47% or more.
How does Pepperdata Capacity Optimizer reduce costs and reclaim waste?
Pepperdata is the only cost optimization solution that automatically optimizes CPU and memory for data-intensive workloads such as Apache Spark—reducing cost and improving utilization rates in the process. This optimization occurs at the application framework layer and is therefore complementary to all other cost optimization efforts.
Using patented algorithms, Pepperdata’s Continuous Intelligent Tuning provides a real-time stream of data which allows scheduling decisions to be based on actual usage instead of allocated usage. This ensures that your cluster uses all available resources for each workload before adding new nodes or pods, thus reducing waste and cost by allowing more workloads to run on the same node or pod.
Does Pepperdata Capacity Optimizer work with other cloud cost optimization solutions?
Yes, since Pepperdata Capacity Optimizer works at the application framework level, it enables savings on top of the savings achieved at the infrastructure, platform, or hardware level through rightsizing hardware instances, running Spark Dynamic Allocation, manual tuning, or purchasing Savings Plans or other financial instruments in the cloud.
Pepperdata Capacity Optimizer reduces cloud costs in some of the world’s largest clusters. For more information on what makes us different, check out Pepperdata’s Secret Sauce.
How can I justify the cost of purchasing Pepperdata to my management team?
Immediate Financial Savings/Guaranteed ROI
Pepperdata Capacity Optimizer delivers cost savings immediately once installed and pays for itself within a few months. A 100% ROI is guaranteed (meaning all costs are paid for by the saving Pepperdata enables within a few months), with typical ROI between 300–600%.
Time Savings/Redeploy Developer Efforts from Manual Tuning to GenAI Projects
In addition to direct reduction of instance hour costs, Pepperdata Capacity Optimizer saves hours of developer time by eliminating the need for manual tuning or applying recommendations. These hours can be redirected to high-value GenAIi or Agentic AI projects that grow the business and create new revenue streams.
View our case studies to learn more about the 30-47% savings and other benefits that our customers experience.
Does Pepperdata require any code changes to my applications?
Applications can run per usual without any code changes or manual tuning required.
If I already use my cloud’s autoscaler, why do I need Pepperdata?
Pepperdata enhances your current cloud autoscaler. Cloud autoscalers spin up new instances when all existing resources have been allocated, but cloud autoscalers cannot recognize the difference between allocated resources and actual utilized resources.
Pepperdata enables the cloud autoscaler scheduler or cluster manager to schedule workloads based on actual resource usage instead of resource allocation, which means that with Pepperdata, you only pay for what you use, rather than spinning up resources that are never used. Pepperdata not only maximizes the utilization of each existing instance, but also ensures that new instances are added only when the existing instances are fully utilized in an autoscaling environment.
Can’t I just hire another engineer to do what Pepperdata does?
If you use a handful of applications 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 YARN or Kubernetes 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 environment in real time that far exceeds what even the most diligent engineer would be able to accomplish.
How long does it take to get up and running with Pepperdata?
Pepperdata typically installs within an hour on most enterprise environments, via a bootstrap action or Helm chart. Within a few hours, you will see waste and cost savings on your Pepperdata-provided dashboard. Cost savings will be visible on your next cloud bill.
How safe, secure, and reliable is Pepperdata Capacity Optimizer?
Pepperdata Capacity Optimizer has been deployed at some of the most demanding enterprises for over a decade, including global banks and Fortune 10 companies. Please request our security white paper or contact us directly at info@pepperdata.com with any questions you have about security and reliability.
How is Pepperdata Capacity Optimizer priced?
Pricing is based on your usage, with a 100% ROI guarantee.
Can I try Pepperdata Capacity Optimizer for free in my environment?
Yes! We welcome the opportunity to bring the same 30-47% average cost savings we see with our customers into your environment. Contact us to get up and running with a free Proof of Value.
