Case Study: Sisal achieves 58% Kubernetes cost reduction with Akamas

Sisal cuts Kubernetes costs by 58% with Akamas

Sisal, a gaming operator with 35 million customers, faced the challenge of optimizing its Kubernetes microservices for significant cost savings without negatively impacting application performance. The company needed efficient resource management and scaling across its containers and services, which led them to the AI-powered optimization platform from vendor Akamas.

Akamas implemented its solution by performing multi-layer optimizations on Kubernetes pod sizing and JVM parameters in a live production environment. The platform's AI safely explored configurations and applied gradual changes, achieving a 58% cost reduction in just two weeks. This result from Akamas delivered immediate and long-term savings by refining configurations to adapt to the company's shifting demands.

Sisal