Discover the cost-slashing benefits of Pepperdata for Amazon EMR on EC2 and Spark & EMR on EKS with a Proof of Value (POV):

• Automatically reduce your cloud cost by up to 47% immediately.
• Optimize your clusters continuously and in real time.
• Slash cloud costs by eliminating waste and maximizing resource utilization.
• Free your developers from the tedium of application tweaking and tuning.

POV Package Objectives

• Install and set up Pepperdata on your AWS clusters.
• Experience the cost savings and ROI of Pepperdata Capacity Optimizer in your AWS environment.
• Reduce the cost of running your Amazon EMR and Amazon EKS environments by up to 47%.

Three Easy Steps to a Successful POV

• Step 1: Install Pepperdata to Profile Your Workloads: ~60 minutes Pepperdata is installed in your environment.

• Step 2: Run Pepperdata: 15 days Run your workloads as normal. Pepperdata will immediately calculate the average waste in your cloud environment.

• Step 3: Meet with Pepperdata Architect to review  your cost savings data, utilization data, and ROI data: ~60 minutes

Pepperdata Advantages

• No application code changes
• No platform config changes
• No advance workload profiling
• Integrates easily into existing automation frameworks
• Operates autonomously and continuously in the background to ensure clusters and nodes always remain in their optimal, safe sweet spot

Platforms Supported

Amazon EMR on EC2, Spark and Amazon EMR on Amazon EKS, Amazon EKS.

CAPACITY OPTIMIZATION TO INCREASE UTILIZATION

Working autonomously and continuously in the background, Pepperdata Capacity Optimizer uses machine learning to eliminate the impossible task of manual tuning to achieve higher utilization, freeing your developers to focus on production and innovation. Capacity Optimizer ensures that all nodes are fully utilized before additional nodes are created and directs the AWS-native autoscaler to downscale as instance utilization decreases. The net effect is that scaling is autonomously optimized and waste is eliminated to dramatically increase utilization.

DYNAMIC AUTOSCALING TO REDUCE COSTS

Pepperdata autonomously reclaim unused resources and enables scaling based on actual rather than requested resource utilization. Pepperdata also supports your cluster in automatically downsizing the number of autoscaling instances in a time-sensitive and robust manner. By automatically reducing the number of autoscaling instances to match actual usage, Pepperdata allows you to achieve significant cost savings with no application changes.