Context:
We are operating a Genesys Cloud BYOC environment with Edge nodes deployed in the Europe/London region to ensure low-latency data processing for our digital channel workflows. The current architecture involves a Data Action within a conversation flow that triggers an outbound webhook to a ServiceNow instance for automated ticket creation. This setup has been stable for standard voice and web chat interactions. However, we are encountering intermittent serialization errors when processing high-volume WhatsApp message batches through the Edge node.
The issue manifests as a 500 Internal Server Error returned by the ServiceNow REST API endpoint /api/now/table/incident. The Genesys Cloud logs indicate that the Edge node is successfully receiving the inbound message event, but the payload transformation step fails before the HTTP request is dispatched to the external service. Specifically, the error log references a JSON serialization exception related to nested object structures within the contact_attributes field. We suspect this is due to the Edge node’s local caching mechanism handling complex JSON structures differently than the central Genesys Cloud data centers. The ServiceNow side confirms that no request was received, ruling out network latency or firewall issues.
Question:
Can anyone clarify the specific constraints on JSON payload size and structure for Data Actions executed on Edge nodes compared to standard cloud deployments? We have verified that the same Data Action configuration works without error when routed through the primary Genesys Cloud region. Are there known limitations regarding nested object depth or special character encoding in the Edge webhook serialization process? Additionally, does the Edge node support custom header injection for retry mechanisms if the initial serialization fails, or must this be handled entirely within the Genesys Cloud flow logic before reaching the Edge? We are looking for a definitive reference on the Edge node’s data transformation capabilities to determine if this requires a architectural change in how we flatten the JSON payload prior to the Data Action trigger.