Looking for some advice on troubleshooting this spike in 429 errors when stress testing a custom Data Action in Genesys Cloud Architect. We are running a load test to validate how our integration handles burst traffic before a major product launch. The setup is straightforward: a JMeter script triggers a webhook that calls our Data Action, which then queries an external REST API and returns the payload.
The issue appears only when the concurrency hits a specific threshold. At 50 concurrent threads, everything works fine. The response time is around 120ms. But as soon as we ramp up to 100 concurrent threads, we start seeing 429 Too Many Requests errors coming back from the Genesys Cloud platform itself, not the external API. The JMeter sampler fails with a 429 status code, and the response body contains a standard rate limit exceeded message. This is happening even though we are well below the documented global API rate limits for our organization tier.
Here are the specific details of our environment:
- Platform: Genesys Cloud (US-1 region)
- Tool: JMeter 5.6.2
- Test Plan: Thread Group with 100 threads, Ramp-up period of 10 seconds, Loop count 5
- Data Action: Custom HTTP GET request to internal staging server
- Authentication: OAuth 2.0 Bearer token (refreshed every 15 minutes)
- Error: HTTP 429 Too Many Requests
We checked the Genesys Cloud admin console, and there are no explicit throttling policies set for this specific Data Action. The external API is also returning 200 OK for its requests, so the bottleneck seems to be on the Genesys side processing the Data Action invocation. Is there a per-tenant or per-flow rate limit for Data Actions that isn’t clearly documented? Or is there a specific header we need to include to handle retries properly? Any insights on how to structure the JMeter test to avoid hitting this wall would be appreciated.