Case Study: fabric reduces latency and SRE toil with Sedai

How fabric’s SRE Team Improved Customer Experience with an Autonomous Cloud Platform

Fabric, a headless commerce software company, was scaling rapidly on AWS Lambda and Datadog across thousands of serverless services, but its SRE team was struggling with rising latency, unpredictable traffic, and the manual effort needed to tune performance, manage concurrency, and trace issues across a heavily distributed environment. They needed a way to improve customer experience without adding significant operational toil.

Sedai’s autonomous cloud platform was deployed to optimize Fabric’s serverless functions, including memory, hidden CPU, provisioned concurrency, and warm-up behavior, while also providing release intelligence and Datadog event overlays for better visibility. With Sedai, Fabric reported a 27% latency reduction, a 33% reduction in SRE workload, and a 6.7x gain in customers per SRE, along with over 1,000 optimizations and measurable improvements in shopping cart performance and overall cloud efficiency.

Fabric

Devashish Pandey

Lead Software Development Engineer