
Dynamic Kubernetes Resource Optimization
Pepperdata provides automated resource optimization for Kubernetes and big data workloads, targeting enterprises struggling with cloud infrastructure costs and overprovisioning. With documented savings ranging from 30-75% and a risk-free pricing model, the company has built a strong track record serving large enterprises across multiple cloud platforms.

Pepperdata is a pioneering resource optimization company founded in 2012 that specializes in dynamic Kubernetes and big data workload optimization. The company's flagship product, Capacity Optimizer, automatically reduces overprovisioning waste and increases resource utilization levels by up to 80%, delivering average cost savings of 30% or more without requiring application code changes or manual tuning. With over 18 billion vCPUs and 787 million pods optimized annually, Pepperdata has established itself as a trusted solution for enterprise-scale infrastructure optimization. The company serves some of the world's largest enterprises, including notable clients like Autodesk and Magnite, and has helped organizations save over $250 million in infrastructure costs since its founding. Pepperdata's solutions work across major cloud platforms including AWS, Microsoft Azure, Google Cloud Platform, and on-premises environments. Their technology supports a wide range of workloads including Apache Spark, Apache Airflow, Apache Flink, microservices, and custom batch processing, making it a versatile solution for diverse data infrastructure needs.