Pepperdata was founded over a decade ago to solve big data performance problems: how do you keep big data systems running optimally when the big data gets really big? What started as a prototype built in a Silicon Valley basement is now the only real-time, automated resource optimization solution for data workloads on Kubernetes that increases utilization levels by up to 80% to deliver an average 30% cost savings without the need for manual tuning or application code changes.
Pepperdata Capacity Optimizer was developed and tuned by founding Hadoop engineers and cloud experts from Yahoo, Google, and Netflix and has been hardened in some of the world’s largest and most demanding compute environments.
Deployed on over 30,000+ clusters, Pepperdata Capacity Optimizer optimizes resources in some of the largest and most complex environments in the world, providing more pods per node in Kubernetes environments, and more executors per node in YARN environments.
Since 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. With Pepperdata serving as their savings engine, customers can run more workloads, accelerate their migration to the cloud and Kubernetes, increase their profit margins, and invest in innovative new projects like GenAI and agentic AI.