Case Study: Luma Health cuts EKS costs by 40% with PerfectScale by DoiT

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Preview of the Luma Health Case Study

Luma Health cuts EKS costs by 40% with PerfectScale

Luma Health, a patient platform provider for healthcare systems, faced a significant challenge in manually managing and optimizing its Amazon EKS Kubernetes environment. This manual process was unsustainable, costing the SRE team over 20 hours per month and creating a thin margin for error in a sector where reliability directly impacts patient care. They turned to PerfectScale by DoiT for an automated solution to its Kubernetes optimization.

PerfectScale implemented its automated, environment-aware optimization, using tailored policies for different risk tolerances across production and non-production clusters. The solution delivered immediate and substantial results, cutting Luma Health's EKS costs by 40% and reclaiming over 1,700 engineering hours per year. This allowed the team to reinvest the savings into performance-critical infrastructure while ensuring reliability.


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