Case Study: Booksy cuts cloud costs by 50% with ScaleOps

Booksy cuts cloud costs by 50% with ScaleOps

Booksy, a leading online booking platform, faced significant challenges in managing its Kubernetes infrastructure. The company struggled with manual intervention for over 3,000 workloads, leading to performance issues like CPU throttling and inefficient resource allocation that risked service availability. This complex, time-consuming process hindered scalability and created missed opportunities for cost savings, prompting them to seek an automated solution from ScaleOps.

By implementing the ScaleOps platform, Booksy automated its resource allocation and management. The solution used auto-detected policies to dynamically rightsize CPU and memory requests in real-time. This resulted in Booksy cutting its allocated CPU by approximately 50% and reducing CPU requests by around 80%. ScaleOps eliminated manual tuning, freed engineering resources for strategic work, and ensured high performance and reliability even during peak demand.

Booksy