Data Action 'timeout' Error in Architect Flow During High Volume

Looking for advice on the following configuration issue regarding Data Actions:

• We are experiencing intermittent 504 Gateway Timeout errors when invoking a specific Data Action within our primary inbound routing flow.
• The Data Action is configured to call an internal REST endpoint hosted on our Azure infrastructure.
• This endpoint handles customer profile enrichment and typically returns a response within 200ms under normal load.
• However, during peak hours between 10:00 and 14:00 CET, the error rate spikes to approximately 15%.
• The Architect flow is set with a default timeout of 10 seconds for the Data Action node.
• We have verified that the Azure endpoint does not exhibit latency issues during these windows via direct curl tests.
• The Genesys Cloud performance dashboard shows no anomalies in queue activity or agent performance metrics during these periods.
• We are currently using the standard Data Action template for HTTP requests.
• The request payload includes standard JSON fields for customer ID and session token.
• No sensitive data is being transmitted, and the payload size remains under 1KB.
• We have attempted to increase the timeout value in the Data Action configuration to 30 seconds, but this did not resolve the issue.
• The error logs in Genesys Cloud indicate a failure at the integration layer rather than the application layer.
• We suspect there may be a rate limiting threshold being hit on the Genesys Cloud side for outbound Data Action calls.
• Documentation regarding rate limits for Data Actions is sparse and does not specify per-tenant or per-flow limits.
• We need to understand if there is a hard limit on concurrent Data Action executions.
• Alternatively, we need guidance on optimizing the flow to batch requests or handle retries more effectively.
• Please advise on the best practice for handling high-volume Data Action calls without triggering timeouts.
• Any insights into the underlying infrastructure constraints would be appreciated.

The root cause here is the default timeout setting in the Data Action node being too low for burst traffic. When concurrent calls spike, the Azure endpoint might experience slight latency increases, causing Genesys Cloud to drop the request before the 200ms response arrives.

Check your Data Action configuration. The timeout parameter is usually set to 5000 milliseconds by default. For high-volume load tests, this might be insufficient if the queue backs up. Try increasing it to 10000 or 15000 in the node properties.

Also, verify the retry logic. If the retry_count is set to 0, any single timeout fails the flow. Set retry_count to 2 with a retry_interval of 1000 ms. This gives the Azure service a chance to clear its queue.

In my JMeter tests, I see similar 504 errors when hitting 100 concurrent users without adequate timeouts. Adjusting these values stabilized the throughput. Monitor the response_time metric in Analytics to ensure the Azure endpoint stays under the new timeout threshold.