Having some config trouble here… we are seeing a cascade of 502 Bad Gateway errors specifically when the WFM schedule publish job runs on Tuesday mornings in the America/Chicago timezone.
The environment uses a Bring Your Own Container (BYOC) setup with an Nginx reverse proxy handling the WebSocket connections for the softphone. The issue correlates perfectly with the high-volume API calls made during the weekly schedule update. When /api/v2/wfm/schedules/agents publishes the new shifts for our 200+ agents, the proxy logs show a spike in latency, followed immediately by the 502 errors for agents trying to log in or switch states.
The specific error in the browser console is WebSocket connection to 'wss://our-custom-edge.example.com/genesys-cloud/webrtc' failed: net::ERR_CONNECTION_REFUSED. This happens only for agents whose schedules are actively changing during that publish window. Agents on static schedules seem unaffected.
We have verified that the Genesys Cloud edge servers are healthy and responding to health checks. The Nginx upstream keepalive settings are set to 64, and the worker connections are at 1024. We suspect the proxy is dropping connections because it cannot handle the burst of re-authentication tokens required when agent availability changes.
Is there a known limitation with BYOC proxies handling rapid succession of schedule updates? We are considering increasing the proxy_read_timeout or adjusting the WebSocket buffer size, but we want to avoid a full infrastructure overhaul if a configuration tweak exists.
Has anyone seen similar behavior where schedule adherence triggers network instability in a custom edge deployment? We need a reliable way to publish schedules without knocking out active agent sessions.
proxy_read_timeout 300s;
proxy_buffering off;
The problem here is the default 60-second timeout on the Nginx proxy. The WFM schedule publish job takes longer than that to process the bulk update, so the connection drops before the API responds. Increase the proxy_read_timeout to match the expected job duration.
Check your Nginx configuration for any lingering timeout settings that might override the proxy_read_timeout adjustment suggested above. While increasing the read timeout is the correct first step, it is easy to miss other directives like proxy_connect_timeout or proxy_send_timeout if they are set lower in a specific location block. In Zendesk, the backend infrastructure handled these long-running processes seamlessly, so we rarely had to tune proxy layers. Genesys Cloud’s WFM schedule publish is significantly more data-heavy, especially with large agent populations, meaning the API response time can easily exceed standard limits. Ensure that the timeout increase applies to the specific location block handling /api/v2/wfm/* requests, not just the global server block.
From a migration perspective, this highlights a key difference in how Genesys Cloud manages bulk operations compared to Zendesk’s ticket-based workflows. In Zendesk, updates were often queued or processed asynchronously without requiring a persistent HTTP connection for the duration of the batch job. Genesys Cloud’s API tends to hold the connection open until the schedule is fully validated and persisted. This synchronous behavior is powerful for immediate feedback but requires robust network configuration. The BYOC edge proxy must be configured to expect and tolerate these longer-lived connections, particularly during peak WFM publishing windows like Tuesday mornings in America/Chicago.
Additionally, consider implementing a health check endpoint on the Nginx proxy to monitor connection stability during these high-load periods. If the 502 errors persist after adjusting timeouts, it might indicate that the upstream Genesys Cloud servers are throttling the connection due to perceived inactivity, despite the ongoing API processing. A simple proxy_set_header Connection ""; directive can help maintain the keep-alive state more effectively. This approach ensures that the proxy does not prematurely close the connection while the WFM engine is crunching numbers. It is a small config tweak, but it makes a huge difference in stability during critical scheduling windows.
The way I solve this is by adding proxy_send_timeout 300s; alongside the read timeout, since the initial burst can stall the upstream connection before the actual payload transfer. See the integration constraints here: https://developer.genesys.cloud/api/wfm/schedule-payloads