Case Study: Rapyd cuts Kubernetes costs by 35-40% with PerfectScale

Rapyd cuts K8s costs by 40% with PerfectScale

Rapyd, a global fintech company, struggled with over-provisioned resources after migrating to AWS EKS across more than 15 clusters. Their existing observability tools lacked the granularity needed to right-size workloads, leading to significant resource wastage and preventing them from leveraging Kubernetes elasticity. They adopted PerfectScale's PodFit and InfraFit solutions to address these challenges.

By implementing PerfectScale's AI-driven optimization tools, Rapyd established a repeatable workflow for workload right-sizing and optimal node selection. This solution is projected to reduce their cloud spending by 35-40% upon completion. Additionally, PerfectScale enabled proactive issue resolution with advanced alerting, improving the performance and reliability of their payment platform while streamlining operations across their clusters.

Rapyd