PerfectScale by DoiT helps OneFootball optimize Kubernetes for global football traffic at scale
- 25%
- reduction in Kubernetes infrastructure costs
- 80%
- reduction in engineering effort spent on Kubernetes cost optimization and resiliency tuning
Clockwise uses AI to help workers take back their time while giving their best work to their companies. The platform learns what people need from each day and finds the right moments to meet while protecting flexible time for personal focus. Uber, Twitter, Atlassian and Asana are among the 15,000+ organizations using Clockwise to make flexible work a key part of business operations. The company's success and steady growth has been powered by Amazon Web Services, particularly EC2, EKS and ECR.
As Clockwise's user base grew rapidly, AWS costs increased significantly, particularly due to Amazon RDS usage. The company needed to optimize their AWS workload to align spending with investor expectations while maintaining performance and scalability for their growing customer base of 15,000+ organizations.
DoiT conducted a comprehensive AWS Well-Architected Framework Review focusing on cost optimization. Solution architects performed deep-dive analysis of all resources, used their CMP to analyze three months of usage data, and provided architectural best practices for rightsizing instances, optimizing EKS workloads, and reducing data transfer costs.
DoiT brought the right technical tools to the job as well as keen skills in evaluating Clockwise's short-term needs and long-term aspirations.
Dan Kador, Vice President of Engineering at Clockwise
Clockwise is considering working with DoiT and AWS to migrate to newer instance types like Amazon Graviton. The company is beginning implementation of PerfectScale for Spot instances to help with cost reduction in their next optimization phase. This partnership positions Clockwise for continued growth while maintaining cost efficiency and operational flexibility.
Explore how PerfectScale helps teams right-size clusters, reduce waste, and improve performance without manual tuning.