

Overview
Pepperdata Capacity Optimizer provides real-time, automated Kubernetes resource optimization that increases utilization by 80%, improves performance by 20% on average, and delivers 30% cost savings on average with no application code changes.
Using patented algorithms to optimize Kubernetes, Pepperdata's Continuous Intelligent Tuning provides a real-time stream of data which allows scheduling decisions to be based on actual instead of allocated usage. This ensures that Kubernetes clusters use all available resources for each workload before adding new pods, thus reducing waste and cost by allowing more workloads to run on the same pod.
Pepperdata Capacity Optimizer also dynamically tunes the Cloud Autoscaler to respond to ever-changing application workloads in real time. The result is dramatically improved hardware efficiency, performance maximization, enhanced engineering productivity, and application resource optimization averaging 30% for Kubernetes. Pepperdata pays for itself by immediately decreasing instance hours/waste, increasing utilization, and freeing developers from constant manual tuning to focus on revenue-generating innovation.
Pepperdata Capacity Optimizer empowers customers to:
- Reduce monthly spend by an average of 30% and run more apps for the same cost
- Drive optimal price/performance cost outcomes
- Minimize (or eliminate) overprovisioning waste to run more applications without additional spend
- Eliminate manual tweaking and tuning of applications to free your developers from the tedium of managing apps to focus on revenue-generating innovation
Our customers range from startups and mid-market ISVs to the largest, most complex, and highly-scaled Kubernetes clusters in the world, at top enterprises such as Citibank, Autodesk, Royal Bank of Canada, and those in the Fortune 5.
PLATFORMS SUPPORTED: HAQM EKS, Spark and HAQM EMR on EKS, and HAQM EMR
Learn more about Pepperdata at pepperdata.com.
Pepperdata's version support matrix is available at http://help.pepperdata.com
Highlights
- Automatically optimize Kubernetes resources: Increase utilization up to 80%, improve performance by 20% on average, and slash costs by 30% on average - automatically, continuously, and in real time. Run the same number of workloads on fewer instances at lower cost.
- It's impossible to manually tune infrastructure at scale. Free your developers from the tedium of trying to manual tuning applications for higher-value, revenue-generating activities with Pepperdata's Continuous Intelligent Tuning, which optimizes node/pod performance automatically in real time without the need to apply recommendations or make code changes.
- Pepperdata pays for itself and has a 100% ROI Guarantee, with most customers achieving a 100-600% ROI in as little as 3 months. FOR A FREE PRODUCT DEMO, EMAIL info@pepperdata.com.
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Dimension | Cost/unit |
---|---|
Per hour vCPU fee | $0.02 |
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Vendor support
When you license Pepperdata software by purchasing Pepperdata Real-Time Cost Optimization, it includes full technical support with guaranteed response times. Access Pepperdata Technical Support at support.pepperdata.com. If prompted to log in, use the same credentials that you use to log in to the Pepperdata dashboard.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by HAQM Web Services.
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Customer reviews
Great Easy to use Product. A must for ETL and Big Data
Visiblity - We have more visiblity than what AWS gives us with Pepperdata