<?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/6dc908667ae44517a9d921229ed025e6&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6dc908667ae44517a9d921229ed025e6-4b953ff7c7c98272.gif</thumbnail_url><duration>299.01</duration><title>Automated Recovery and Monitoring for Akash Deployments</title><description>In this video, I demonstrate how Akash Guard automates the recovery of services on the Akash platform, which currently lacks health checks and auto-recovery features. I show a live example where I intentionally kill a service, and our AI agent detects the failure, diagnoses the issue, and automatically redeploys the service within approximately three minutes. Notifications are sent via Telegram, and a detailed report is generated for users to review later. I encourage you to consider how this automation can enhance your deployments and reduce downtime. Please let me know if you have any questions or feedback!</description></oembed>