Quick question about Data Actions failing under load. We are pushing 500 concurrent requests to a custom integration endpoint via JMeter. The flow hangs and returns a 504 Gateway Timeout after exactly 30 seconds, even though the backend responds in 200ms locally.
Is there a hard timeout limit on Genesys Cloud Data Actions that we can bypass? Our current config has no retry logic, and the error rate spikes immediately after hitting 100 threads.
You need to implement exponential backoff with jitter on the client side, as the platform enforces strict rate limits that trigger 504s when burst thresholds are exceeded.
Have you tried adjusting the JMeter thread group settings before worrying about the edge config? The 429 errors are often caused by the http client in jmeter sending too many connection requests in a short window.
This usually happens because of the way the load generator handles connection pooling. When concurrent threads exceed the platform’s expected burst capacity, the gateway drops the excess requests. Try changing the ramp-up time to spread the load more evenly.
Ramp-Up Period to 60 seconds for 500 threads.Scheduler to true with a fixed duration.The documentation suggests that smooth ramp-up prevents the sudden spike in WebSocket connections. I experienced this same issue with outbound campaign APIs. The 504 timeout is likely a side effect of the connection storm, not a hard limit on the Data Action itself. Check the response headers for Retry-After values.
Make sure you add retry_on_status = [504] to your data action definition. The platform handles the backoff automatically if configured in HCL, removing the need for manual client-side logic.
resource "genesyscloud_flow_dataaction" "integration" {
name = "External API Call"
retry_on_status = [504, 503]
retry_delay_ms = 1000
}