Quick question about hitting rate limits on the Workforce Engagement API. I am running a JMeter script to simulate bulk data uploads for scheduling optimization. The target endpoint is /api/v2/wem/schedules. I have set up 150 concurrent threads to mimic a peak load scenario. The test fails after about 2 minutes with HTTP 429 Too Many Requests errors. I checked the response headers and saw a Retry-After value of 30 seconds. I tried adding a constant timer between requests, but the errors persist. The documentation mentions tenant-wide limits for WEM operations, but I am not sure what the specific threshold is for schedule updates. I am using the standard REST client in JMeter with basic auth headers. The environment is a Genesys Cloud instance in the US East region. I want to ensure the load test reflects real-world usage patterns without triggering artificial throttling. Any advice on how to structure the test to stay within acceptable limits would be helpful. I am also wondering if there are specific headers I should include to manage rate limiting better. The current setup seems too aggressive for the API capacity.
The easiest fix here is this is to implement exponential backoff in the JMeter script rather than a static timer. WFM APIs throttle aggressively during bulk schedule syncs. Check these settings:
- Retry-After header parsing
- Throttle control plugin configuration
- Bulk API endpoint limits
Pretty sure the WFM API enforces strict concurrency limits that static timers cannot bypass.
- Implement exponential backoff logic in the JMeter script.
- Parse the
Retry-Afterheader to dynamically calculate the wait time. - Reduce concurrent threads to stay within the documented bulk API limits.