Case Study: Ampeers Energy saves 33% on Azure Kubernetes Service with CAST AI

How Ampeers Energy saved 33% on AKS thanks to automation

Ampeers Energy, an energy company using Azure Kubernetes Service (AKS), needed better visibility into cloud spending as its Azure footprint grew. The infrastructure team wanted a more granular way to understand costs and resource usage across its Kubernetes environment, and found open-source OpenCost difficult to use and inaccurate for its needs.

CAST AI provided the solution by helping Ampeers Energy gain accurate cost and utilization tracking, automate scaling, and improve pod distribution across its cluster. After implementation, Ampeers Energy reported a 33% reduction in cloud costs on the cluster connected to CAST AI, along with reduced engineering workload and more efficient node utilization.

Ampeers Energy

Lucas Recknagel

CTO