Overview
Discover the cost-slashing benefits of Pepperdata Real-Time, Automated Kubernetes Resource Optimization with a Proof of Value (POV):
- Increase utilization by up to 80%
- Improve overall efficiency by up to 85%
- Reduce your cloud cost immediately by up to 30% on average, automatically, continuously, and in real time without application code changes or applying recommendations
- Free your developers from the tedium of manual application tweaking and tuning to focus on revenue-generating innovation.
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.
- Increase utilization by up to 80%, improve efficiency overall, and reduce the cost of running your HAQM EKS and HAQM EMR environments by 30% on average.
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 overprovisioning 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 HAQM EKS, Spark and HAQM EMR on EKS, and HAQM EMR
CAPACITY OPTIMIZATION TO INCREASE UTILIZATION Pepperdata Capacity Optimizer provides real-time, automated Kubernetes resource optimization that increases utilization by up to 80%, improves efficiency overall, 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 overprovisioning waste and cost by allowing more workloads to run on the same pod.
DYNAMIC AUTOSCALING TO REDUCE COSTS 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.
Highlights
- Improve utilization by up to 80%, autonomously optimize node performance, and eliminate overprovisioning waste, enabling up to 30% cost reduction on average. Run the same number of workloads on fewer instances.
- Free your developers from the tedium of manually tuning applications to focus on revenue-impacting innovation.
- "Pepperdata helps optimize the efficiency of our infrastructure to reduce our spending." -- VP, Big Data Solutions Engineering, Global Financial Services Enterprise
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When you try Pepperdata software for the duration of the POV Offer, it includes technical support made on a best-effort response basis. When you license Pepperdata software by purchasing Pepperdata for Cloud Optimization Subscription, 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.
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