Commerce teams need more than green Grafana charts. During headless Shopify and Laravel programmes we built observability that ties engineering signals directly to revenue, conversion, and operational KPIs so stakeholders see issues before they hit the P&L.
Instrument the entire order journey
We trace every order from React UI through Laravel APIs, queues, and downstream ERPs. OpenTelemetry exporters push structured spans into CloudWatch and New Relic, tagged with SKU, cohort, PSP, and region. When a particular payment gateway slows down, commercial leads see the same alert engineers do, because we emit derived metrics such as “authorisation success %” rather than raw latency.
Combine business metrics with platform health
Dashboards pair LCP, queue depth, and error budgets with commercial data like conversion per device, loyalty uptake, and out-of-stock incidents. When we ran the Midleton launch, a single observability view showed Shopify webhook lag alongside the number of orders stuck in allocation, so operations could act immediately.
Alert on impact, not noise
We define guardrails with stakeholders: conversion must stay within a band, stock sync can’t exceed a latency budget, refunds can’t spike above baseline. Alerts fire when those bounds are breached, and runbooks point to the Laravel service, AWS queue, or Shopify integration that usually causes it. Engineers get context, business owners get reassurance.
Share insights beyond engineering
Weekly observability reviews include merchandising, finance, and support. We annotate dashboards with campaign launches, PSP incidents, or infrastructure changes so non-technical teams understand causality. That shared context is why leadership trusts us when we say “the platform is safe to scale marketing spend.”
How we help
We design and implement observability stacks that join code-level telemetry with the metrics founders and COOs care about. If you need senior engineers who can wire the data and interpret it with you, let’s talk.