<?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/7e45d182134e4c6cbfd75bb01b38054d&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/7e45d182134e4c6cbfd75bb01b38054d-10a4ca2606ae0fb0.gif</thumbnail_url><duration>120.587133</duration><title>Creating and Managing Data Pipelines for Effective Control 📊</title><description>In this video, I walk you through creating and using pipelines to manage your data effectively. I demonstrate how to get started by selecting a data source, such as a demo cluster, and configuring various settings like log injection and attribute processing. I also cover backend control, where you can set specific rules to drop unwanted logs and traces based on severity or service name. I encourage you to explore these features and customize your pipeline according to your needs. Stay tuned for more insights in future videos!</description></oembed>