Pepperdata’s Autonomous FinOps for Kubernetes enables executives, platform engineering and IT ops teams, and FinOps professionals managing Kubernetes workloads in public clouds to achieve desired economics from compute resources — without manual intervention or code changes. Benchmarks have shown organizations can slash their cloud costs by up to 60% by running Pepperdata’s instance rightsizers, as well as scale and capacity optimizers continuously and autonomously.
Sign up for early access to get access to powerful capabilities to allow you to:
- Get container-level cost visibility by breaking down costs by Kubernetes object types to provide a holistic view of FinOps
- Recommend optimal instance types for workloads to reduce overprovisioning
- Scale efficiently by using actual resource utilization, intelligent bin packing, and waste reclamation
- Run optimizers continuously and autonomously by analyzing container cost data and runtime behavior
