How Small Node.js SaaS Teams Should Choose a Metrics and Observability Stack

For small Node.js SaaS products using Postgres, choosing the right metrics approach depends on team size, SQL expertise, and data-control requirements, with hosted metrics APIs recommended as the default starting point. The key principle is capturing enough contextual dimensions at write time — such as deployment ID, region, tenant identifier, and feature-flag state — to reconstruct a customer incident without guesswork. Developers are advised to begin with a small set of service-level signals like request count, failure rate, latency, and queue depth, adding business-flow counters only when they address specific incident questions. High-cardinality labels should be avoided, as they complicate alerting, charting, and ingestion management. For teams handling US and EU traffic, data residency decisions must go beyond a vendor's region selector to address retention, deletion, support access, and contractual obligations.