<?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/dfa62297a37f4215af3e35c9d0e8187c&quot; frameborder=&quot;0&quot; width=&quot;1080&quot; height=&quot;810&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>810</height><width>1080</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>810</thumbnail_height><thumbnail_width>1080</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/dfa62297a37f4215af3e35c9d0e8187c-bdd3de67d24d0ac6.gif</thumbnail_url><duration>563.775</duration><title>Building a Scalable Threat Monitoring and Alert Management Platform with Django 🚀</title><description>In this video, I present my Threat Monitoring and Alert Management Platform built using Django REST framework, emphasizing security and scalability. I&apos;ve implemented 15 comprehensive unit tests to ensure code quality, all of which pass successfully. I demonstrate the alert creation process through Postman, showing how alerts are generated based on severity levels, and how their statuses can be updated based on user roles. Additionally, I explain the access token and refresh token mechanisms for user authentication. I encourage you to check out my code on GitHub for further insights.</description></oembed>