<?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/dbefee53ff204ec89b9135a0f0ddca73&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/dbefee53ff204ec89b9135a0f0ddca73-3483494cd9cb9cd3.gif</thumbnail_url><duration>761.862</duration><title>Building a Crude API for Clothing Retail with AWS 🌟</title><description>In this video, I present my solution for the Crude API challenge, which is designed for a clothing retail store&apos;s back office. The infrastructure consists of two stacks: a resources stack with a DynamoDB table and a services stack with an API gateway and Lambda functions. I outline the product structure, API methods for creating, reading, updating, and deleting products, and the testing strategy, which includes end-to-end tests and a CI/CD pipeline using GitHub Actions. I encourage viewers to consider the importance of implementing policies for production environments to prevent accidental data loss. Please review the details and provide any feedback or questions you may have.</description></oembed>