<?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/2767f6fa3ff9460c8374558f7ac3debe&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/2767f6fa3ff9460c8374558f7ac3debe-2ebc68c29fdc9c69.gif</thumbnail_url><duration>77.343</duration><title>Creating Effective Log Analytics Dashboards 📊</title><description>In this video, I walk you through how to perform log analytics and write aggregation queries to analyze the trend of loglines for our service. I demonstrate how to group the data by container ID to understand traffic distribution. Additionally, I show you how to add this query to a dashboard for easy access in my daily workflow. I created a new dashboard named &quot;Container ID Distribution&quot; to keep track of these insights. Please take a moment to replicate this process and integrate it into your routine for better monitoring.</description></oembed>