Small SaaS Checkout Reconstruction with a Cheap Metrics Dashboard API (Node.js)

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Short answer: instrument the checkout as a small state machine, preserve a correlation ID across its stages, and choose a metrics backend only after proving that its query path can reconstruct one failed purchase. For a small media SaaS, a plain metrics API can support internal charts and low-volume counters or gauges; it cannot replace Grafana Cloud or Datadog when the SLO requires alert routing, distributed traces, or deep drill-downs. The deciding constraint is incident reconstruction. A chart that says 17 checkouts failed is useful for impact, but the on-call engineer also needs to separat

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