As Fairtility scaled its AI-driven healthcare platform on Google Cloud, controlling cloud costs became critical to sustaining innovation. CloudZone partnered with Fairtility to implement a structured FinOps optimization approach, restoring cost visibility and reducing Google Cloud spend by 26% without impacting performance.
The Challenge
Rapid growth and data-intensive AI workloads led to rising cloud costs and limited visibility into resource utilization. Fairtility needed a structured approach to optimize its Google Cloud environment without compromising performance or innovation.
The Solution
CloudZone’s FinOps experts conducted a detailed audit of Fairtility’s Google Cloud environment and implemented targeted optimization measures, including:
- Transitioning Compute Engine workloads from on-demand instances to Spot Preemptible instances
- Implementing real-time monitoring dashboards and alerts using Anodot
- Establishing ongoing visibility and measurable ROI through continuous FinOps reporting
This approach balanced cost efficiency with performance and reliability.
The Results
With CloudZone’s guidance, Fairtility achieved a 26% reduction in cloud costs and significantly improved operational visibility. Compute workloads now run with an optimized mix of 80% Spot Preemptible and 20% On-Demand instances, enabling the company to scale efficiently, stay within budget, and continue innovating in reproductive AI.