<?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/a1024d2f8996453cacaa05de25d419ad&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a1024d2f8996453cacaa05de25d419ad-9b469839e1aa052e.gif</thumbnail_url><duration>173.2</duration><title>Managing Workloads in Kubernetes with Scheduled Actions ⏰</title><description>Today, I demonstrated how to schedule actions to turn off workloads in a Kubernetes cluster for a specified period. By creating a runbook and selecting the apps to be switched off at specific times, such as at night or on weekends, we can efficiently manage workload scaling. The video guides through setting up scheduled actions, converting time zones for accurate scheduling, and creating notifications for shutdowns. Viewers are encouraged to follow along and implement these strategies for effective workload management.</description></oembed>