Case Study: Jisr achieves 65% production cluster savings with CAST AI

Jisr saves 65% on production cluster, boosting CPU/memory use

Jisr, a cloud-based employee management platform serving more than 3,000 companies and 350,000 workers, needed help managing spiky traffic and keeping its Kubernetes clusters optimized while controlling costs. The company turned to CAST AI to automate resource optimization and improve the efficiency of its AWS-based EKS environment.

With CAST AI, Jisr automated scheduling, node rebalancing, bin packing, and Spot instance usage to continuously select the most cost-efficient compute options. The results included 65% cost savings on the production cluster, a 70%+ increase in CPU and memory utilization, zero impact on application availability, and a 65.42% reduction in production cluster cost.

Jisr

Othman Albakri

Senior DevOps Engineer