Pepperdata FREE Cloud Migration Peak Performance Assessment

Moving to the cloud requires a significant investment of time, effort, and resources. Benefit upfront as you plan your migration from the unparalleled insights Pepperdata provides.

• Visualize your most expensive queues and users.*Understand the optimal AWS instance types for your unique workloads.
• Benchmark your environment against others optimized by Pepperdata in terms of both waste and savings.
• Realize increased utilization rates up to 80% and post-migration savings of 30% on average with no manual intervention.

What to Expect from Pepperdata's FREE Peak Performance Cloud Migration Assessment Once you 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. Your FREE customized Big Data Cloud Migration Assessment provides you with:

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

The FREE Peak Performance Cloud Migration Assessment is compatible with all Kubernetes and YARN-based workloads.

Three Easy Steps to a Successful Peak Performance Cloud Migration Assessment

• 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 30% on Average

Once you've migrated your workloads to your new cloud environment, Pepperdata's Capacity Optimizer allows you to reduce costs further.

Pepperdata automated resource optimization increases utilization by up to 80%, improves efficiency overall and delivers 30% cost savings on average for HAQM EKS and HAQM EMR with no manual tuning, no recommendations, and no application code changes. Using patented algorithms to optimize Kubernetes, Pepperdata Capacity Optimizer automatically optimizes CPU and memory in real time. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing utilization by up to 80%, and freeing developers from manual tuning to focus on revenue-generating innovation.

Pepperdata Capacity Optimizer automatically analyzes resource usage in real time, identifying where more work can be done, enabling the scheduler to add tasks to pods with available resources and spin up new pods only when existing pods are fully utilized. The result: CPU and memory are automatically and continuously optimized in your new cloud environment, immediately and without the need for recommendations to be applied, safely eliminating the need for ongoing manual tuning.

Pepperdata: Your Trusted Migration Partner

Pepperdata resource optimization for data workloads on Kubernetes and HAQM EMR automatically reduces overprovisioning waste to increase utilization levels, delivering an average 30% cost savings - automatically, continuously, and in real time - with no application code changes, recommendations, or manual tuning. Deployed on over 20,000+ clusters, Pepperdata Capacity Optimizer optimizes Kubernetes resources in some of the largest and most complex environments in the world. Founded in 2012, Pepperdata has helped companies ranging from startups and mid-sized ISVs to top enterprises such as Citibank, Autodesk, Magnite, Royal Bank of Canada, and members of the Fortune 10 save over $250 million. For more information, visit www.pepperdata.com .