Why does this setting in the WFM bulk scheduling API cause 429 Too Many Requests errors when simulating concurrent updates? I am running a load test to validate API throughput for workforce management operations. The goal is to ensure the system can handle peak scheduling loads without degrading performance.
The test uses JMeter 5.6 to simulate 100 concurrent users updating shift assignments via the /api/v2/wfm/schedules endpoint. Each request includes a valid OAuth token and follows the documented rate limiting guidelines. However, the errors start appearing after just 50 concurrent requests.
“The WFM APIs support up to 100 requests per minute per organization. Exceeding this limit will result in 429 Too Many Responses.”
The documentation suggests staying under 100 RPM, but the errors occur well below that threshold. The environment is Genesys Cloud US1, and the API version is v2. The JMeter script includes proper token refresh logic and waits for responses before sending the next request.
The error response includes a Retry-After header, but the retry logic in JMeter does not seem to help. The tests fail consistently after 50 concurrent requests, regardless of the pacing strategy. This behavior is unexpected given the documented limits.
Has anyone encountered similar issues with WFM API rate limiting under load? Are there additional constraints for bulk scheduling operations that are not clearly documented? The test setup includes proper authentication and follows best practices for API testing.