Pepperdata Capacity Optimizer
Automatically reduce your cost to run Kubernetes or Amazon EMR by ~30% or more.
DESIGNED AND DEVELOPED FOR FINOPS
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Reduce instance hours and costs
Save an average of 30% or more on workload costs on Amazon EMR and Amazon EKS with autonomous tuning.
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Optimize clusters for efficiency
Minimize overprovisioning waste to run more applications without additional spend.
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Eliminate manual tuning and tweaking
Free developers from the tedium of managing individual apps so they can focus on more innovative and strategic tasks.
Pepperdata Customer Savings Impact
Explore how customers have used the optimization savings created from Pepperdata to advance the impact of their data-intensive workloads.
Reduced instance hour costs by 50% to save $1.1 million over 14 months → Now runs more clusters and applications with significantly reduced engineering time.
Saved up to 75% in workload costs across its clusters → Using its savings to migrate more workloads to AWS for GenAI projects.
Automatic efficiency improvement of core hours and memory by 30% → Recovered thousands of dollars per day to help bolster its Kubernetes workloads.
Immediately delivered a 33% reduction of instance hours (vCPU hours) → Reinvesting ~$100K monthly savings into expansion.
Reduced EC2 compute cost overall by 30% within five days automatically → Now runs additional workloads that can be GenAI-enabled.
Reduced annual server costs by 30% for $20M in savings over seven years → Repurposing its savings towards growth in its large-scale data analytics platform.
See What Customers Say About Pepperdata
50% cost savings
“Pepperdata allowed us to significantly increase capacity for our Amazon EMR workloads and reduce our EC2 costs by over 50%. We can focus on our business, while they optimize for costs and performance.”
Application-aware observability
“If a job slows down or stops, we can quickly drill down to pinpoint when the trouble occurred and see what activity was occurring or changing on the cluster. We also love to see historical trends over a long period of time because it gives great indications of how we are doing. That capability is invaluable.”
Optimizing YARN resources
“I was thinking there’s no way there’s a 30% overhead in [YARN or Hadoop] that everyone is paying that isn’t fixed… But you see it in the numbers [with Pepperdata] that it’s true.”
Improved infrastructure efficiency
“Pepperdata Capacity Optimizer helps optimize the efficiency of our infrastructure to reduce our spending.”
“Great, easy to use product. A must for ETL and Big Data”
“Capacity Optimizer is a simple easy to implement – easy to use application that will save you money right from the get go… Right out of the box you will see a 10 to 15% savings. The support is top notch – they go above and beyond in getting the most out of the product. This is a no brainer for any Big Data workload.”
“Saved 75% cost on [Amazon] EMR”
“The capacity optimizer helped us to reduce the wastage on EMR clusters and increased the efficiency. For one of the clusters – the savings was as big as 75%. For others we are seeing at least 30% savings.”
Start Saving 30% or More
If you’re running Kubernetes or Amazon EMR, give us a few hours.
We’ll save you 30% on top of everything you’ve done.
Cloud Management Platform
