<?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/51d1a2b6cde248e79316c2b26a9119c7&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/51d1a2b6cde248e79316c2b26a9119c7-1692747106692.gif</thumbnail_url><duration>91.935</duration><title>MySQL Integration: Simplifying Database Monitoring</title><description>In this video, I, Zach from Middleware, will guide you through the process of integrating MySQL with our monitoring system. To monitor your MySQL DB, make sure the Middleware agent is running on the host. You can find one-step installation instructions on our website. Once installed, navigate to the installation page, click on database monitoring, and select MySQL. Set up the integration and you&apos;ll be able to monitor high-level metrics like IO and thread count on the MySQL dashboard. For a more granular view, check out the APM databases page where you can analyze time-consuming queries and throughput. If you want to explore further, we provide a complete list of queries and functions.</description></oembed>