Need some troubleshooting help with a persistent issue with our Genesys Cloud WebRTC softphones dropping connections during the weekly schedule publish window.
We are operating out of the Chicago region and rely heavily on the workforce management module to push out shift schedules every Tuesday morning at 06:00 AM CT. The process involves publishing approximately 1,200 agent schedules simultaneously. When the publish action triggers, we observe a significant spike in WebRTC disconnects for agents who are currently logged in and on idle status. The softphones do not crash entirely but rather enter a ‘reconnecting’ state that lasts for 45 to 90 seconds, causing missed inbound callbacks and poor agent experience.
The error logs in the Genesys Cloud admin console show intermittent ‘STUN Binding Request Failed’ and ‘ICE Connection Failed’ errors specifically during the peak publish minutes. We are using the standard Genesys Cloud softphone embedded in the desktop app, version 2023.10.1. Our network infrastructure uses standard UDP ports 3478 and 5349 for STUN/TURN, which are open and verified via port testing tools.
We have checked the WFM schedule adherence reports and confirmed that the disconnects correlate directly with the API calls made by the scheduling engine. It seems like the high volume of database writes during the bulk publish is causing latency in the signaling servers, affecting the WebRTC handshake maintenance for active sessions.
Has anyone else experienced this correlation between bulk WFM schedule publishing and WebRTC stability? We are considering staggering the publish times or splitting the agent groups, but we need to understand if this is a known platform limitation or if there is a configuration tweak for the WebRTC settings that can improve resilience during these high-load periods. Any insights on optimizing the schedule publish process to reduce signaling overhead would be greatly appreciated.
Make sure you isolate the WebSocket signaling traffic from the bulk API calls. The disconnects during schedule publish are likely caused by the Genesys Cloud ingress layer dropping long-lived WebRTC connections when the server resources are saturated by the high volume of concurrent schedule updates. While the recording export APIs are separate, they share the same underlying infrastructure in the Chicago region, so a spike in API traffic can degrade the signaling channel quality for active calls. Instead of relying on the default keep-alive mechanisms, consider implementing a client-side reconnection strategy that detects the specific 403 or 1006 close codes associated with resource contention. You can monitor the WebSocket connection state using JavaScript event listeners. When the connection drops, check the close code. If it is not a standard network error, it is likely a server-side resource issue. Implement an exponential backoff retry mechanism to re-establish the signaling connection without overwhelming the server further. Additionally, review the S3 integration settings for any bulk exports running concurrently. If legal hold exports are scheduled during the same window, the combined load can exacerbate the issue. Try staggering the schedule publish times or splitting the agent groups into smaller batches to reduce the peak load on the ingress layer. This approach helps maintain the chain of custody for recording metadata while ensuring agent connectivity remains stable during critical workforce management operations.
This has the hallmarks of a classic resource contention issue during peak WFM operations. Try staggering your JMeter load to mimic the publish spike without hitting the WebSocket limit.
<ConstantTimer name="Stagger Timer" guiclass="TestBeanGUI" testclass="ConstantTimer" testname="Stagger Timer">
<stringProp name="ConstantTimer.delay">500</stringProp>
</ConstantTimer>
Adding a 500ms delay prevents the signaling channel from saturating.
The simplest way to resolve this is to decouple the signaling traffic from the bulk schedule publishing process by utilizing separate API endpoints for WFM operations, ensuring the WebSocket connections remain stable. Configure your WFM integration to use the asynchronous schedule publish method, which processes updates in the background without blocking the primary signaling channel.
This approach prevents the ingress layer from dropping long-lived WebRTC connections during high-concurrency events. In our APAC regions, we manage similar peak loads by staggering schedule pushes and monitoring the WebSocket latency metrics closely. The Chicago region infrastructure handles concurrent API calls differently, so isolating the traffic helps maintain session continuity. Ensure your client-side configuration allows for automatic reconnection attempts with exponential backoff to handle any transient network issues during the publish window. This setup has proven effective in reducing disconnect rates significantly during bulk operations.