<?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/f339e94e709647fdab8af5d71ebbe04c&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f339e94e709647fdab8af5d71ebbe04c-301b8b674f2fbb34.gif</thumbnail_url><duration>526.654</duration><title>Efficient Email Scheduling with Redis and Workers 🚀</title><description>In this video, I walk you through the email scheduler service I developed to tackle the issue of blocking when sending large volumes of emails. I utilize Redis for task management and workers to process these tasks efficiently, ensuring that no emails are lost even if the worker crashes. I demonstrate how users can log in using Google OAuth and send or schedule emails, including a test where I scheduled a mass email to 100 recipients. I also explain the rate limiting feature to prevent abuse and how the system maintains job integrity through worker-side idempotency. If you&apos;re interested in trying it out, all the setup details are in the README file.</description></oembed>