Stuck on a problem and need help troubleshooting a capacity issue with the Workforce Management APIs during a load test.
503 Service Unavailable on POST /api/v2/wfm/schedules/bulkupdate
Running JMeter 5.6.2 from Singapore. Targeting the Genesys Cloud WFM endpoints to simulate a large-scale schedule push. The goal is to validate how the API handles concurrent bulk updates for a high-volume contact center scenario.
Single thread works fine. Response time is around 200ms.
At 50 concurrent threads, the system handles it okay, but latency spikes to 1.5s.
At 100 concurrent threads, I start seeing consistent 503 errors. The payload is identical for each thread, just different employee IDs.
JMeter Config:
- Thread Group: 100 threads
- Ramp-up: 10 seconds
- Loop Count: 10
- Request Body: JSON array of schedule entries (approx 5KB)
- Headers: Authorization Bearer Token, Content-Type application/json
The error response body is minimal:
{"errors":[{"code":"service_unavailable","message":"The service is temporarily unavailable. Please try again later."}]}
I have checked the Genesys Cloud status page, and everything is green. No maintenance windows.
Is this a hard rate limit on the WFM APIs? The documentation mentions rate limits for some endpoints, but I couldn’t find specific numbers for bulk schedule updates.
I also tried adding a 500ms delay between requests, which helped a bit, but at 100 threads, the 503s still appear.
Looking for guidance on:
- What is the recommended concurrency limit for WFM bulk APIs?
- Are there specific headers or pagination strategies to mitigate this?
- Is this expected behavior for the current tier?
Thanks for the help.