Just noticed that our WebRTC softphone clients are dropping connections precisely when the Genesys Cloud Data Action attempts to serialize complex conversation context for a ServiceNow REST API call. This is happening exclusively in our EU-West BYOC environment, which has been stable for the past six months.
The issue manifests as a sudden silence on the agent side, followed by a 408 Request Timeout in the ServiceNow integration logs. However, the Genesys Cloud client logs show a different story. The WebRTC signaling remains active, but the audio tracks are abruptly terminated by the client. We suspect the Data Action execution is blocking the main thread or consuming excessive resources, causing the browser’s WebRTC stack to time out and drop the peer connection.
[Error] WebSocket connection failed: 1006 (Abnormal closure)
[Warning] WebRTC peer connection state changed to: failed
[Info] Data Action 'CreateSNOWIncident' started execution
[Error] API call to ServiceNow /api/now/table/incident returned 408
We are using the latest Genesys Cloud Web SDK version 6.15.0. The ServiceNow endpoint is configured with a 30-second timeout, but the failure occurs within 5 seconds. I have verified that the IAM role assigned to the Data Action has the necessary conversation:read and integration:write permissions. The payload size is under the 256KB limit, containing only essential fields like conversation_id, participant_id, and a truncated transcript.
“Data Actions are executed asynchronously to prevent blocking the user interface. However, complex transformations or large payload serializations can impact browser performance and potentially affect real-time media streams.”
Given this documentation snippet, I am concerned about how the asynchronous execution is handled in conjunction with the WebRTC stack. Has anyone encountered similar resource contention issues where Data Action execution impacts the stability of the WebRTC softphone? Are there specific configurations for the Data Action timeout or retry policies that can mitigate this without affecting the call quality? I have checked the browser console for memory leaks, but the usage seems consistent before the drop. Any insights into optimizing the Data Action payload or adjusting the WebRTC settings would be appreciated.
Yep, this is a known issue…
The serialization blocks the thread.
WebRTC requires low latency.
Flatten the JSON payload.
Map only caller_id and disposition_code.
ServiceNow rejects deep nesting.
This prevents the timeout.
The problem is that the Data Action serialization process is likely blocking the main thread responsible for maintaining the WebRTC signaling state, causing the softphone client to interpret the delay as a network failure. While flattening the payload is a valid mitigation, it does not address the root architectural bottleneck in how Genesys Cloud handles synchronous outbound calls during flow execution. In my experience with EU-West deployments, the latency introduced by serializing large JSON objects-especially when combined with the overhead of BYOC edge routing-often exceeds the keep-alive timeout thresholds for WebRTC sessions. A more robust approach involves decoupling the data submission from the active conversation context. Instead of performing the ServiceNow REST call directly within the interaction flow where the agent is still on the call, consider using a Queue Event or a separate asynchronous flow triggered by the conversation completion event. This ensures the media path remains uninterrupted while the data is processed in the background. If immediate context transfer is mandatory, implement a try-catch block around the Data Action with a reduced timeout value, specifically targeting the ServiceNow endpoint configuration. Additionally, verify that the ServiceNow integration is not enforcing strict TLS handshakes that add latency to each request. By isolating the data transaction from the real-time media stream, you eliminate the race condition between the serialization thread and the WebRTC heartbeat mechanism. This pattern has proven effective in reducing 408 timeouts in high-concurrency environments where payload size varies significantly per interaction.
This seems like a classic thread blocking issue rather than a pure network timeout. When you serialize large JSON payloads for ServiceNow, the Data Action execution can stall the main event loop. This stalls the WebSocket keep-alives required by the WebRTC client. The client thinks the connection dropped because it isn’t receiving heartbeats.
Try reducing the payload size significantly. You don’t need the full conversation history. Just pass the conversation_id and agent_id. Let ServiceNow fetch the rest asynchronously if needed. Here is a safer JMeter setup to test this:
{
"inputs": {
"conversation_id": "${convId}",
"agent_id": "${agentId}"
}
}
Run this with 50 concurrent users. If the 408s stop, the serialization was indeed blocking the signaling thread. Flattening helps, but async processing is the real fix for high-volume environments.