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
CattleEye's AWS compute costs tripled as their customer base grew. Running compute-intensive computer vision inference pipelines on AWS Batch, they processed video footage from over a million cows. Irregular demand patterns made Reserved Instances impractical, while manual Spot adoption presented technical restrictions on GPU instances.
CattleEye implemented PerfectScale for Spot to automatically manage instance composition in their Auto Scaling Groups. The solution enabled seamless adoption of Spot instances for batch processing workloads while providing intelligent instance recommendations to maximize savings.
We use Spot Scaling for running our Batch Processing and have saved between 50% – 60% compared to on-demand by benefiting from Spot Scaling instance recommendations. The on-boarding process was easy and intuitive.
Mike McFarland, Lead Software Engineer
The implementation delivered immediate cost savings. CattleEye reduced on-demand EC2 costs by over 60% while converting all batch processing to Spot instances. The automated instance management eliminated the time-consuming research previously required to identify suitable Spot instances for their GPU-intensive workloads.
With costs under control, CattleEye successfully completed their AWS Foundational Technical Review and gained access to the AWS ISV Accelerate Program. This achievement opened new sales channels, secured additional funding for deployments, and added credibility with the 'Reviewed by AWS' badge. The cost optimization enabled the startup to focus resources on product development rather than infrastructure management.
Explore how PerfectScale helps teams right-size clusters, reduce waste, and improve performance without manual tuning.