Audit SaaS KPIs with a Node.js metrics API by separating metrics and evidence

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For e-commerce SaaS applications, a metrics dashboard API must preserve both high-level outcomes and detailed incident evidence. Key performance indicators like checkout conversion rates should be tracked using low-cardinality metrics for business rates and latency distributions. Detailed request-level evidence should be kept in logs or traces and linked to metrics using a shared identifier. Selecting a metrics service should prioritize signal quality and cardinality controls over dashboard aesthetics. This approach prevents data overload while maintaining the ability to investigate specific customer incidents.

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