What is the correct way to reconcile BYOC edge latency spikes in Performance dashboards?

• Region: Genesys Cloud EU1
• Configuration: Bring Your Own Cloud (BYOC)
• Dashboard: Agent Performance & Queue Activity
• Issue: Latency spikes in AI Bot interactions

What is the correct way to isolate edge network latency from internal queue metrics when using a Bring Your Own Cloud (BYOC) configuration? Our organization operates in the EU1 region with a dedicated edge deployment for voice traffic. Recently, we have noticed significant discrepancies between the “Average Handle Time” reported in the standard Agent Performance dashboard and the actual duration logged in our internal CRM systems.

The issue appears specifically when AI Bot interactions hand off to human agents. The dashboard indicates a wait time of approximately 45 seconds, whereas our internal logs show the connection was established within 5 seconds. This suggests that the latency is occurring at the network edge or during the handoff process, but the Performance dashboard does not seem to distinguish between network latency and actual queue wait time.

We are attempting to create a custom report to better understand this discrepancy. However, the standard metrics available in the Analytics API do not provide a clear separation between edge latency and queue processing time. The “Connection Time” metric seems to include both, making it difficult to pinpoint the source of the delay.

Is there a specific metric or data point available in the Performance API that can help isolate edge latency? Alternatively, is there a recommended approach for correlating BYOC edge logs with Genesys Cloud performance data to accurately report on agent efficiency? We need to present this information to stakeholders who are concerned about the perceived inefficiency of our support team.

Any guidance on how to structure this analysis or which specific API endpoints to query would be greatly appreciated. We are looking for a solution that does not require extensive custom development, as our team is focused on dashboard configuration and flow architecture rather than low-level API integration.

The documentation actually says BYOC latency is often masked by internal processing times. Try isolating the edge hop using a custom Data Action that timestamps the webhook receipt versus the ServiceNow incident creation. This helps distinguish network jitter from API overhead.

It depends, but generally… the issue is not just the network hop, but how the timing is captured. The suggestion above regarding Data Actions is solid for isolating the webhook receipt. However, coming from a Zendesk background, we are used to thinking of a ticket as a single entity with a final resolution time. In Genesys Cloud, especially with BYOC, the interaction is fragmented across multiple system logs.

To truly reconcile these spikes in the EU1 region, you need to look at the interaction:created and interaction:updated events rather than just the queue metrics. The latency you are seeing in the Agent Performance dashboard often includes the time Genesys Cloud spends processing the AI intent before it even hits your BYOC edge.

Here is a quick Python snippet to help calculate the delta between the Genesys Cloud system timestamp and your internal BYOC receipt time. This helps prove whether the spike is network-related or processing-related.

import datetime

def calculate_latency(gc_timestamp, byoc_receipt_timestamp):
 # Convert ISO strings to datetime objects
 gc_time = datetime.datetime.fromisoformat(gc_timestamp.replace('Z', '+00:00'))
 byoc_time = datetime.datetime.fromisoformat(byoc_receipt_timestamp.replace('Z', '+00:00'))
 
 latency_ms = (byoc_time - gc_time).total_seconds() * 1000
 return latency_ms

# Example usage
latency = calculate_latency("2023-10-27T10:00:00.000Z", "2023-10-27T10:00:01.500Z")
print(f"Latency: {latency} ms")

Be careful with timezone conversions. Genesys Cloud APIs return UTC, but your BYOC environment might be logging in local Paris time. This mismatch causes false latency spikes.

In Zendesk, we would just look at the ticket created vs. updated time. Here, you must map the interaction lifecycle stages explicitly. If the latency_ms exceeds 500ms consistently, it is likely a BYOC configuration issue, not a Genesys Cloud queue delay. Check your VPC peering routes next.