Pepperdata's Secret Sauce

Pepperdata’s Continuous Intelligent Tuning provides a real-time stream of data which allows scheduling decisions to be based on actual usage instead of allocated usage. This ensures that your cluster uses all available resources for each workload before adding new nodes or pods, thus reducing waste and allowing more workloads to run on the same node or pod.

Pepperdata optimization also dynamically tunes the Cloud Autoscaler to respond to your ever-changing application workloads in real time. The result is dramatically improved efficiency, performance maximization, and application cost optimization averaging 30-47 percent for workloads on Amazon EMR and Amazon EKS.

As soon as you enable Pepperdata optimization, you’ll start to see measurable cost savings of 30 percent or more immediately—not days or weeks later.

Your applications and your cluster environment are dynamic, making it difficult, if not impossible, to predict peak traffic times. Other solutions must be manually trained on typical workload patterns, which can cause the solution to break if those patterns change. Pepperdata’s real-time application awareness adapts to your ever-changing applications without requiring retraining or manual retuning.

Pepperdata optimization requires no manual intervention and operates on your behalf to automatically eliminate waste as your applications run.

Pepperdata works around the clock automatically and never stops optimizing your workloads.

Pepperdata software is safe to deploy because it never touches or changes your running applications. Our optimization is “node aware,” meaning it maintains your nodes and pods at their optimal “sweet spot” at all times.

Pepperdata optimization ensures both:

1. Optimal capacity utilization by informing your scheduler in real time of exact resource usage
2. Optimal cost by ensuring that every cluster or node is fully utilized before a new instance is added

No other solution in the market optimizes your clusters in both these ways.

Pepperdata supports optimization of both batch and ad hoc workloads, providing the greatest cost savings when deployed on your largest, most data-intensive workloads such as Apache Spark.

Pepperdata frees your development teams from the tedium of tweaking and tuning applications and applying recommendations so they can focus on high-value, innovative activities to grow your business.

Even after you’ve implemented other cloud cost remediation tools, Pepperdata can still save your organization money. Pepperdata works side-by-side with platform-level optimization approaches such as autoscaling and instance rightsizing to eliminate the “invisible” waste inside your applications.

Cloud resources are measured in terms of both CPU and memory. Whereas other cost optimization solutions may only consider one or the other, Pepperdata maximizes resource utilization across both dimensions.

The volume, velocity, and variety of modern compute workloads make manual tuning impossible at scale. Even the most experienced developers will have difficulty scaling their efforts to keep pace with the constantly changing demands of data-intensive workloads and the common overprovisioning of applications. The time and money Pepperdata optimization saves both platform engineers and developers is significant—typically between 30 and 47 percent—and can be repurposed towards strategic activities and new product innovation.

Pepperdata software typically installs in under 60 minutes, and you gain immediate savings during your free PoV. Book a meeting to understand how much Pepperdata can save you today.