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Ecommerce / Retail

Scaling an ecommerce platform 50× with 3× conversion lift

A retail platform went from 10K to 500K daily users by modernizing architecture, improving performance, and redesigning critical checkout flows.

50×

DAU

0.9s

Page load

3.2×

Conversion

99.99%

Uptime

Scaling an ecommerce platform 50× with 3× conversion lift

Challenge

Peak sales caused 8‑second load times, DB timeouts, and conversion drops. The monolith made releases risky and slow.

Solution

Microservices + CDN + caching + search overhaul, paired with data‑driven UX experiments on product and checkout pages.

Implementation Highlights

Kubernetes auto‑scaling + Redis caching
PostgreSQL sharding + read replicas + Elastic search
Microservice split + observability
A/B testing across checkout flows

Outcomes

50×

DAU

0.9s

Page load

3.2×

Conversion

99.99%

Uptime

Tech stack

Next.jsNode.jsPostgreSQLRedisKubernetesAWS

Timeline: 12 months

Next steps

Want a similar roadmap for your product? We’ll map strategy, execution, and measurable outcomes in a short discovery sprint.

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