Queue Performance dashboard latency spikes in BYOC region vs Core

Trying to understand the discrepancy in handle time metrics between our Core deployment and the newly migrated BYOC instance. The business stakeholders are flagging a perceived decrease in agent productivity since the cutover, but the Agent Performance views show stable adherence rates. This suggests the issue lies in system latency rather than human behavior.

We are observing elevated handle times specifically in the Queue Performance dashboard for the BYOC region. The standard Queue Activity metrics show normal wait times, but the post-answer phase is dragging. When drilling down into the Conversation Detail views, the timestamps indicate a 200-400ms delay between the call connect event and the first media stream start. This latency is not present in the Core region for identical flow structures.

The Architect flows in question are relatively simple routing logic with a single script node for variable resolution. We have ruled out complex data lookups or external API calls as the cause, as the flow execution time logs in the BYOC environment do not show any node-specific timeouts. The issue appears consistent across digital channels (voice and chat) within the BYOC tenant.

Is there a known configuration or network routing factor in the BYOC architecture that introduces this specific latency in the media handshake phase? The standard dashboards do not provide a granular breakdown of network versus processing latency. We need to explain this variance to the operations team without attributing it to agent performance issues. Any guidance on correlating these dashboard metrics with underlying network performance logs would be appreciated.

Check your SIP registration stability and carrier failover logic first. Managing fifteen BYOC trunks across different regions often reveals that “latency” in dashboard metrics is actually a symptom of packet loss or jitter during the handoff between primary and secondary carriers. When Genesys Cloud struggles to maintain a stable SIP dialog with the PSTN gateway, the system may register the call as connected earlier than the actual audio path is established, artificially inflating handle time.

Verify the RTP payload types configured in your trunk settings. If your carrier is strict about DTMF handling, switching from RFC 2833 to SIP INFO can reduce processing overhead on the gateway side. Also, inspect the WebRTC connection logs for any 403 or 401 errors during token refreshes, as these intermittent drops can cause the analytics engine to miscalculate active talk time. Ensure outbound routing rules are not causing unnecessary hops through multiple trunk groups before reaching the final destination.

I typically get around this by checking if the BYOC region’s analytics processing pipeline matches the Core deployment’s configuration. In Zendesk, we often saw similar reporting delays due to misaligned data sync schedules. Verify the underlying metrics are actually delayed or just displayed differently.

  • Analytics processing latency
  • BYOC vs Core metric definitions
  • Dashboard caching settings