graphic showing optimization in real time

Real-Time, Automated Resource Optimization for Kubernetes Workloads

Increase GPU, CPU, and Memory Utilization by up to 80% to improve performance and reduce costs.

Real-Time, Automatic Resource Optimization for Kubernetes Workloads

Increase GPU, CPU, and Memory Utilization by up to 80% to improve performance and reduce costs.

Real-Time, Automatic Resource Optimization for Kubernetes Workloads

Increase GPU, CPU, and Memory Utilization by up to 80% to improve performance and reduce costs.

No Manual Tuning. No Recommendations. No Application Code Changes.

Achieved more than 50% cost reduction to save over $1.1 million in 14 months.

Ran 50% more tasks on one of their largest clusters.

Achieved a 24% increase in task performance and saved $30K in three months.

Achieved a 95% infrastructure utilization and a 23% cost savings on Amazon EMR.

Achieved 30% cost reduction in a week and average monthly savings of ~$8K.

Achieved annualized savings of over $600K.

Achieved almost $5 million in annualized savings and exceeded 200% ROI.

Achieved 50% cost savings, which it now re-invests in GenAI projects.

Achieved 30% resource uplift and saved thousands of hours of core/memory waste.

Reduced instance hours by 33% on Amazon EKS for monthly savings of $100K.

Reduced cluster cost on Amazon EMR by 27% after installing Pepperdata.

Immediately saved up to 75% in workload costs to exceed price/performance SLAs.

Application Waste Still Exists Despite Traditional Optimizations

Infrastructure optimizations such as Managed Autoscaling, Spark Dynamic Allocation, and manual configuration tuning don’t eliminate the problem of application waste due to overprovisioning.

app level framework

Even after traditional optimizations, Pepperdata still saves you an additional 30% on average.

Pepperdata Capacity Optimizer

Automatically optimize GPU, CPU, and memory in real time
to dramatically reduce costs while ensuring peak performance.

Pepperdata Capacity Optimizer

Automatically optimize GPU, CPU, and memory in real time to dramatically reduce costs while ensuring peak performance.

  • (1) icon homepage pco instance hours

    Real-Time Automated Kubernetes Resource Optimization

    Increase utilization by up to 80% or more when compute and memory are optimized to actual usage requirements.

  • (1) icon homepage pco spark clusters

    Eliminate Waste, Boost Performance

    Reduce overprovisioning waste to run more applications without additional spend.

  • (1) icon homepage pco manual tuning

    Free Developers From Manual Tuning and Tweaking

    Reclaim hours of engineering time with automated resource optimization.

Smart Companies Love Pepperdata Savings

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.”

Mark Kidwell, Former Chief Data Architect, Data Platforms and Services, Autodesk

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.”

Jesse Escobedo, Director of Engineering, Magnite

Optimizing Resources

“I was thinking there’s no way there’s a 30% overhead in [compute and memory resources] that everyone is paying that isn’t fixed… But you see it in the numbers [with Pepperdata] that it’s true.”

Ben Smith, VP of Technical Operations, Extole

Improved Infrastructure Efficiency

“Pepperdata Capacity Optimizer helps optimize the efficiency of our infrastructure to reduce our spending.”

VP, Big Data Solutions Engineering, Global Financial Services Enterprise

“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.”

Verified User, Enterprise Bank

“Saved 75% cost on [Amazon] EMR”

“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.”

Rahul C., Senior Director, Enterprise Company

Start Saving 30% or More

Start Saving 30% or More

If you’re running Kubernetes or Amazon EMR,
give us a few hours.

 

We’ll save you an average 30% for CPUs and 20% for GPUs on top of all your other optimization strategies.

 

What would you do with your additional savings?

medal

Cloud Management Platform

If you’re running Kubernetes or Amazon EMR, give us a few hours.

We’ll save you an average 30% for CPUs and 20% for GPUs on top of all your other optimization strategies.

What would you do with your additional savings?

medal

Cloud Management Platform

Explore More

Looking for a safe, proven method to reduce waste and cost by 30% or more and maximize value for your cloud environment? Sign up now for a free cost optimization demo to learn how Pepperdata Capacity Optimizer can help you start saving immediately.