Case Study: Bede Gaming achieves 10-15% cloud cost savings with CAST AI

Bede Gaming automatically optimizes K8s workloads with no risk to performance

Bede Gaming, part of the Merkur Group, is a leading digital platform for the online gaming industry that had to handle massive traffic peaks while keeping Kubernetes workloads highly available. To avoid performance issues, teams overprovisioned resources, but that created unnecessary cloud cost and added overhead for the platform team. CAST AI helped Bede Gaming address this challenge with its Workload Autoscaler.

By implementing CAST AI’s automated rightsizing and workload-level optimization, Bede Gaming was able to automatically adjust Kubernetes requests and limits to balance cost and performance without impacting availability. The company reported 10–15% cloud cost savings, improved utilization, and lower-risk operations with no need for manual resource tuning.

Bede Gaming

Dan Whiteley

Chief Technology Officer