<?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/8a9be0aa02ae4de68083275fd76d27fa&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/8a9be0aa02ae4de68083275fd76d27fa-00001.gif</thumbnail_url><duration>491.59</duration><title>Appwrite meets opentelemetry</title><description>Hey there! In this Loom, I&apos;ll be walking you through the code base of the application I built on top of AppRite. We have three different repositories, including an Express app that generates open telemetry data, an instrumentation.js file where we&apos;ve instrumented our open telemetry, and a microservice that ingests the data sent from the demo app. I&apos;ll also show you the front-end app, which is a React app built on wheat plus SWC. We&apos;ll go through the different pages, including the dashboard, traces, and errors, and I&apos;ll explain how I utilized different components and icons. I&apos;ll also mention some of the challenges I faced, such as the node SDK not being able to do certain queries. Overall, I hope this demo gives you a good understanding of the application and its capabilities.</description></oembed>