Industry solution · E-Commerce

No lost revenue because the shop falls over at 3 a.m.

Obsyd monitors your entire e-commerce stack — from CDN through checkout to payment webhooks — and fixes routine failures automatically before they cost conversions.

DORANIS-2EU AI ActCRA

E-Commerce: typical stack & where it breaks

In e-commerce, every minute of downtime is direct lost revenue. The stack is also fragile: storefront, CDN, checkout, payment provider and deployment pipeline all interlock, and a failed deploy or a stuck payment webhook often goes unnoticed until customers drop off.

Obsyd, skalenta's AI-Ops engine, sits as an autonomous watcher over exactly this stack. It detects a 500 on the live site, a broken Netlify/Vercel build or missing Stripe events instantly, finds the root cause and rolls back broken deployments automatically — at night and at the Black Friday peak alike.

The E-Commerce stack — and where Obsyd sits

Obsyd sits as an autonomous watcher over your existing stack. You keep your tools — Obsyd observes, fixes and documents across every layer.

Storefront & CDN

Serving shop pages, caching, DDoS protection.

ShopifyNext.jsCloudflare

Payment

Checkout, webhooks, subscriptions — every lost event counts.

StripePayPal

Hosting & Deploy

Build pipeline and live hosting of the application.

Vercel / NetlifyAWSGitHub Actions

Obsyd (AI-Ops)

Sits on top of it all: detects, fixes, documents.

WatcherAuto-remediationRCA report

What Obsyd catches here

Real incident patterns from practice — detected, fixed and documented as a root-cause report automatically.

Deploy built, site still down

You push, the build goes green — but Vercel/Netlify serves a 500. Obsyd detects the error on the live site, rolls back and reports the cause as a pull request.

Stripe webhooks stop coming

Orders arrive, but payment events don't go through. Obsyd spots the gap in the event stream, checks the integration and alerts with a concrete fix instead of a vague alarm.

Cloud costs out of control at peak

Overprovisioned resources after the sale peak eat margin. Obsyd scales back on demand — on average −33% OPEX.

What measurably lands

−45%MTTR on shop incidents
24/7checkout & payment monitoring
−33%cloud costs after peaks

Especially effective for shops with seasonal load spikes, headless-commerce setups and providers that depend on conversion-critical uptime.

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