Postman Load Test Tutorial Guide Playbook
Blog post from Speedscale
Postman, widely used for API development and functional testing, can also support basic load and performance testing through collections, the Collection Runner, configurable virtual users and durations, and real-time metrics such as response time, throughput, and error rates. It supports REST, gRPC, GraphQL, and SOAP APIs, allows grouped requests and JavaScript-based response assertions, and can use mock servers to isolate dependent services that might otherwise impose rate limits during tests. Load tests can be incorporated into CI/CD workflows through Postman integrations or the Newman command-line library. However, the account notes that Postman may not provide “true” load testing because it can wait for responses before issuing subsequent requests, limiting its ability to generate substantial concurrent stress; mocks also require manual setup and maintenance, and no managed public-cloud execution option is available. A practical example uses the RandomUser API to create a collection, save gender-specific requests, validate responses, run the collection, review performance statistics, and configure mocked responses, while suggesting specialized tools may be more suitable for high-scale concurrent testing.
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