<?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/90e5fbcee63a45bb93435f0f20848b85&quot; frameborder=&quot;0&quot; width=&quot;1620&quot; height=&quot;1215&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1215</height><width>1620</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1215</thumbnail_height><thumbnail_width>1620</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/90e5fbcee63a45bb93435f0f20848b85-71338f6270be35f6.gif</thumbnail_url><duration>177.723</duration><title>Building a Scalable and Observable URL Shortener</title><description>In this video, I walk you through the architecture of our URL shortener, Schornner, and the steps we took to ensure scalability and observability. We implemented a load balancer and cached hot paths to handle up to 1,000 concurrent users, which we stress tested to ensure reliability. I emphasize the importance of turning feelings into facts with our logging and monitoring systems, which provide insights into traffic, latency, and errors. Additionally, I highlight our documentation and CI processes that ensure changes are production-ready. Please review the metrics and logs I presented to help identify any bottlenecks.</description></oembed>