Industries — E-commerce
Retail engineering is judged on a handful of days a year. We build storefronts and infrastructure that treat Black Friday as a load test you've already passed — fast pages, honest capacity planning, and cloud spend that follows demand instead of sitting idle in April.
The stakes
01
If the last load test predates the last replatform, Black Friday is a hope. We make peak a rehearsal: traffic models built from your real order curves, load tests against production-shaped environments, and runbooks for the failures you can't prevent — payment provider slowdowns included.
02
You pay for the click either way; page speed decides whether it becomes an order. We treat Core Web Vitals as revenue metrics — measured on real user data, budgeted per template, and enforced in CI so one heavy third-party script can't quietly undo a quarter of performance work.
03
Provisioning for peak and paying for it in the off-season is the default failure mode of retail cloud bills. Autoscaling that actually scales, caching that absorbs the spikes, and scheduled capacity for the days that matter cut spend without touching resilience.
Relevant services
Case study
The client here is fintech, but the problem is pure retail: infrastructure sized for the worst day, billed every day. The same right-sizing playbook applies directly to storefronts provisioned for November.
Browse all case studiesFAQ
The questions e-commerce buyers actually ask us — answered the way we’d answer them on a call.
Yes. We work across hosted platforms, headless storefronts, and fully custom builds — and we are deliberately unsentimental about which one you need. If your growth fits Shopify with good engineering discipline, we'll say so; we recommend a headless migration only when the platform is provably the constraint.
Yes — readiness runs as a parallel track. Load modeling, performance budgets, and infrastructure changes ship alongside feature work, with a defined code-freeze window only around the peak days themselves. Starting three to four months out is comfortable; less is workable with tighter scope.
Incrementally, with the revenue funnel instrumented before anything moves. URL structures and structured data are preserved or redirected deliberately, templates migrate one at a time behind routing rules, and every step ships with before-and-after numbers on speed, rankings, and conversion so a regression is caught in days.
Both, and they are better together: most peak-season failures happen in the seams between frontend, backend, and infrastructure. Our cloud and DevOps practice owns capacity, autoscaling, and observability, and works alongside the engineers tuning your pages — one plan, one team, one runbook.
Engagements start at $25k. Peak-readiness projects are typically fixed-scope; ongoing storefront work runs as a monthly retainer with a stable senior team. Either way you get a scoped plan with costs before you commit — no open-ended time and materials by default.
Tell us what you're building in e-commerce. We'll reply within one business day with an honest read on whether we can help.
