<?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/d726800595724e46b06b40906cbdce6f&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/d726800595724e46b06b40906cbdce6f-3d25e59667228c80.gif</thumbnail_url><duration>243.184</duration><title>Overwatch Instant Back-End Crash Analysis 🚀</title><description>Hi, I am Aknu, and in this Loom I demo Overwatch, an A and A2 instance response system for backend crashes. Overwatch reduces intake and recovery time by auto capturing stack traces, telemetry, and workspace contents, then generating instant analysis. During the live run, the watchdog detects cache, parses context, clusters severity, estimates radius, and produces a root cause and suggested patch, like a milestone JSON payload parsing failure. I show a benchmark with about 30 ms first person instant analysis and persistent outputs. No action was requested from viewers.</description></oembed>