What to Expect from Pepperdata's Cloud Migration Assessment You'll first install and set up Pepperdata on your on-premises or cloud environment. Pepperdata analyzes the unique CPU and memory requirements of your workloads to determine baseline and burst characteristics. Pepperdata then calculates the storage requirements for your new cloud environment based on the capacity of your existing clusters.

You will receive a customized Big Data Cloud Migration Assessment that provides you with:

• Rightsized AWS instance type recommendations based on the unique performance profiles of your workloads
• Optimized Amazon EMR and EKS autoscaling parameters
• Forecasted instance hours for your new cloud environment and the corresponding monthly and annual cost
• Estimated savings from running Pepperdata Capacity Optimizer in your new cloud environment

The Cloud Migration Assessment is compatible with all YARN-based workloads as well as Spark, PyTorch, and other long-running workloads on Kubernetes.

Three Easy Steps to a Successful POV

• Step 1: Install Pepperdata on your clusters to profile your workloads: 60 minutes
• Step 2: Run Pepperdata: 2 weeks
• Step 3: Review your customized cloud migration report: 60 minutes

Post Migration, Automatically Reduce Costs by up to 45% Once you've migrated your workloads to your new cloud environment, Pepperdata's Capacity Optimizer allows you to reduce costs further.

Working autonomously and continuously in the background, Capacity Optimizer uses machine learning to eliminate the impossible task of manual tuning, 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. In addition, cloud-native autoscalers tend to scale aggressively and ramp down slowly, which can lead to overprovisioning and runaway costs. Capacity Optimizer reclaims unused resources and automatically makes autoscaling more efficient. The net effect is that scaling is autonomously optimized and waste is minimized, enabling you to cut costs by up to 45% without sacrificing workload speed.

Pepperdata: Your Trusted Migration Partner Pepperdata has experience working with numerous Fortune 500 enterprises in migrating and modernizing their Big Data environments. Pepperdata operates natively in both Hadoop on premises as well as in Spark on EKS, EMR on EC2, EMR on EKS, and EMR Serverless.