Why is this setting causing a 408 timeout in the Architect flow? We are hitting the /api/v2/architect/flows endpoint with JMeter at 500 concurrent users. The flow hangs on a simple data action step. Logs show the websocket connection drops after 10 seconds. No 429 errors. Just silent 408s. Need to know if this is a hard limit or config issue.
The quickest way to solve this is to increase the timeout threshold on the Data Action node itself, as it defaults to a conservative value that trips under load.
In Zendesk, custom actions were often fire-and-forget, but Genesys Cloud requires explicit patience settings. Check the “Timeout” field in the Data Action configuration and bump it to 30-60 seconds to handle the burst.
You need to check your WFM schedule adherence settings first. High concurrency often spikes when agents hit their scheduled wrap-up times simultaneously, causing the API to timeout.
Adjust the shift swap thresholds to stagger those peaks.
The root of the issue is that the 408 timeout is not a hard limit of the /api/v2/architect/flows endpoint itself, but rather a symptom of the underlying Data Action webhook payload size or the ServiceNow REST API response time exceeding the default 10-second window defined in the Genesys Cloud Data Action configuration. When running JMeter tests at 500 concurrent users, the sheer volume of requests creates a queue on the ServiceNow side, causing the initial handshake to succeed but the actual data transfer to stall.
In my experience with similar integrations, the issue often stems from the timeout property within the Data Action node being left at the default value. This is insufficient for complex ServiceNow transactions, especially when creating or updating tickets with large payloads. You need to explicitly increase this value. Navigate to your Architect flow, select the Data Action node, and locate the Timeout field. Change this from 10 to 60 seconds. This provides a larger window for the ServiceNow instance to process the request and return a 200 OK status.
Additionally, ensure that your ServiceNow endpoint is configured to handle high concurrency. If you are using the standard api/now/table/incident endpoint, consider implementing a bulk operation or using the sys_web_service table to manage incoming requests more efficiently. The payload structure should also be optimized. Avoid sending unnecessary fields. For example, instead of:
{
"number": "INC0000001",
"short_description": "Test Incident",
"description": "This is a detailed description...",
"assignment_group": "IT Support",
"priority": "2"
}
Trim it down to only essential fields required for the ticket creation. This reduces the payload size and speeds up the processing time on the ServiceNow side. Finally, monitor the response_time metric in the Genesys Cloud Analytics dashboard to identify any bottlenecks. If the issue persists, check the ServiceNow logs for any errors or warnings related to the API calls. This should help mitigate the 408 timeouts and improve the overall stability of your integration.