Can Postman do load testing? Yes, here’s how it works

Postman Performance Testing allows teams to reuse existing API Collections, including authentication flows, scripts, and pm.test() assertions, for both functional and load testing rather than maintaining a separate suite in another tool. Users configure virtual users, duration, and load profiles, then can run tests locally, through the Postman CLI, or in Postman Cloud, which supports larger distributed loads of up to 1 million virtual users and static IP options for allowlisted APIs. CI pipelines can use pass/fail thresholds for metrics such as p95 latency, error rate, or throughput, causing builds to fail when configured limits are exceeded, although assertion failures must be reviewed separately through the reported failure percentage. Results provide latency percentiles, request errors, assertion failures, virtual-user heatmaps, and run comparisons, while datasets work across local and cloud execution and cloud runs require Shared Vault secrets. The approach is positioned as an alternative to maintaining separate tests in tools such as k6, JMeter, Gatling, Locust, or ReadyAPI, but it has limitations including a virtual-user-only model rather than target RPS control, one cloud region per account, HTTP-only support, configuration primarily stored in CLI or CI flags, and no native export to observability platforms such as Grafana, Datadog, or OpenTelemetry.

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