Case Study: Banking Circle cuts Kubernetes costs 50-80% with CAST AI

Banking Circle eliminated AIOps toil while cutting Kubernetes costs by 50-80%

Banking Circle, a next-generation bank serving global payments and banking services, needed to scale and secure its Kubernetes infrastructure while keeping performance high, cloud costs under control, and AIOps effort manageable. To support more than 300 million B2B transactions and strict 99.9%+ uptime requirements, the team looked for a better way to manage Kubernetes operations and security.

CAST AI automated scaling up and down, improved autoscaling speed, and added Kubernetes security capabilities such as continuous vulnerability scanning and base image recommendations. The result was 50–80% Kubernetes cost savings, major reductions in manual AIOps and upgrade toil, and about two weeks of full-time annual effort saved on Kubernetes version upgrades alone.

Banking Circle

Anton Sörensen

Team Lead, AIOps