<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/3b8f3fa1e38b49a39daee6ce5e175308&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3b8f3fa1e38b49a39daee6ce5e175308-89549d748e8dda71.gif</thumbnail_url><duration>218.75</duration><title>Tracking Queue Managers With System Sensor</title><description>This Loom explains Panaptico’s System Sensor for tracking IT systems and resources within a project context. In an IBM message queue deployment example, it automatically collects relevant resources, showing an overview such as about eight queue managers with provisioned state currently false and a target state of true. It also provides a resource map with drill-down views, filters by attributes like domain provider type, owner, criticality, and whether queues are dead letter or inbound local. The Loom covers tracking drift over time, creating alerts and automation for state changes, and using AI to add new categories when needed.</description></oembed>