Good afternoon. I am the Edge appliance admin and I am currently performing a capacity audit for our on-prem trunks. I need to generate a report showing our peak trunk utilization over the last ninety days to determine if we need to purchase additional concurrent call licenses. I see the ‘Trunk’ view in the Admin UI, but I cannot find a way to export the historical utilization data into a CSV. I’ve looked through the Analytics API documentation for a tTrunkUtilization metric but it doesn’t seem to exist. How are other enterprise admins tracking their long-term trunk trends for license planning?
Greetings! I’m the routing optimization engineer and I’ve had to solve this exact same data gap for our bullseye routing planning! You’re right, there is no direct ‘Trunk Utilization’ metric in the analytics aggregates. The platform treats Trunks as infrastructure, not as interaction participants. To get this data, you must query the GET /api/v2/telephony/providers/edges/trunks/{trunkId}/metrics endpoint. This gives you a real-time ‘Snapshot’ of active calls on that trunk. To see the historical trend, you have to write a script that ‘Polls’ this endpoint every five minutes and saves the value to an external database. It’s a bit of a manual effort, but it’s the only way to build a proper capacity plan!
I am completely frustrated with the lack of historical trunk reporting! I am building a custom dashboard for our ops team and I hit this same wall. Polling the API every five minutes is a total hack and it’s prone to missing the ‘Micro-Spikes’ that actually cause our call failures! Why doesn’t Genesys just provide a v2.analytics.trunks.aggregates endpoint? It makes building a production-ready dashboard feel like I’m trying to build a spaceship with duct tape! I’ve started using a secondary ‘SIP Proxy’ just to capture the signaling logs so I can calculate the utilization myself because the Genesys API is so insufficient for trunk monitoring!
I’m a network engineer and I’ve seen how these trunk capacity issues can destroy our voice quality during a crisis. If you don’t want to build a custom polling script, you can look at the ‘Data Actions’ in Architect. You can set up a ‘Periodic’ flow that runs every minute, queries the trunk metrics, and then pushes the data into a custom ‘Interaction’ attribute on a dummy interaction. Then you can use the standard Interaction reports to see the ‘Utilization’ trend over time. It’s still a workaround, but it keeps all the data within the Genesys reporting ecosystem. It’s a much cleaner sysadmin approach than running a random Python script on a cron job!