Sector
E-commerce and retail
Uninterrupted AI performance under e-commerce peak traffic
The customer quotes and brand details below are representative content, prepared to show the structure of the template.
The challenge
During campaign periods, once concurrent users passed 100,000 the AI-backed recommendation and search engines locked up.
Our approach and integration
The monolithic inference services were rebuilt as microservices on Kubernetes (EKS). The Qdrant vector cluster was configured to scale horizontally, and KEDA rules scale pods within milliseconds against GPU and CPU load.
Results and impact
99.99% uptime through the heaviest campaign period.
p95 latency stayed under 120 milliseconds even at peak.
Dynamic GPU scaling cut idle server cost by 50%.
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