Just noticed that the Performance Dashboard takes over 45 seconds to load queue activity metrics for agents deployed on our Edge BYOC instance, whereas on-premise agents load instantly. The browser console reports a timeout on the data retrieval request.
Error 504 Gateway Timeout: /api/v2/analytics/queue/real-time
Is this a known limitation of the Edge architecture regarding metric aggregation, or is there a configuration setting to optimize this latency?
The root of the issue is that the default polling interval and batch size for real-time analytics queries often exceed the throughput capacity of the Edge BYOC data collection pipeline, leading to gateway timeouts when aggregating large agent populations. The Edge architecture processes metric ingestion asynchronously, and a single synchronous request for all queue activity can overwhelm the local analytics cache before it syncs with the central platform. This is not necessarily a limitation of the Edge itself, but rather a misconfiguration in how the client application handles high-volume data retrieval. The standard fix involves implementing pagination and reducing the time window for each request to ensure the Edge can process the data without dropping connections.
Try modifying your API client to fetch data in smaller batches using the groupBy parameter and limiting the interval to 15-second chunks instead of the default 60-second window. Here is a sample configuration for the request body:
{
"view": "queue-performance-realtime",
"groupBy": ["queueId", "agentId"],
"interval": "15s",
"since": "2023-10-27T10:00:00Z",
"until": "2023-10-27T10:00:15Z"
}
Additionally, ensure that your Edge is configured with sufficient memory for the analytics cache by checking the edge.config file and verifying the analytics.cache.size parameter is set to at least 512MB. If the latency persists, consider implementing a local caching layer in your Premium App to store recent query results and reduce the frequency of direct API calls to the Edge endpoint. This approach significantly reduces load on the BYOC infrastructure and improves dashboard responsiveness for end users.