Scheduled Virtual Machine Shutdown/Startup - Microsoft Azure Video
Details and download available here:
https://automys.com/library/asset/scheduled-virtual-machine-shutdown-startup-microsoft-azure
This runbook automates scheduled startup and shutdown of Azure virtual machines. You can implement multiple granular power schedules for your virtual machines using simple tag metadata in the Azure portal or through PowerShell. For example, you could tag a group of VMs to be shut down between the hours of 10:00 PM and 6:00 AM, all day on Saturdays and Sundays, and during specific days of the year, like December 25.
The runbook is intended to run on a schedule in an Azure Automation account, with a configured subscription and associated access credentials. For example, it can run once every hour, checking all the schedule tags it finds on your virtual machine resource groups. If the current time falls within a shutdown period you’ve defined, the runbook will stop the VM if it is running, preventing any compute charges. If the current time falls outside of any tagged shutdown period, this means the VM should be running, so the runbook starts any such VM that is stopped.
Once the runbook is in place and scheduled, the only configuration required can be done through simple tagging of resources, and the runbook will implement whatever power schedules it finds during its next scheduled run. Think of this as a quick and basic power management scheduling solution for your Azure virtual machines.
Tags are great for adding metadata to our resources in Azure for purposes like these, but as of this writing (May 2015), tags are not able to be applied to a Virtual Machine resource – only to Resource Groups. Therefore we can only schedule using this approach at the resource group level, not (yet) for individual VMs directly. Until this changes, you’ll need to make sure all Azure VMs which need a specific shutdown schedule are contained in a resource group where the schedule tag is assigned. To use different schedules for different VMs, you’d need to contain them within separate resource groups.
About the Site 🌐
This site provides links to random videos hosted at YouTube, with the emphasis on random. 🎥
Origins of the Idea 🌱
The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. 🧠
Challenges Faced 🤔
Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.
Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. 🔍
Creating Truly Random Links 🛠️
The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.
About YouTube 📺
YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. 🌟
Content and Users 🎵
Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.
While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.
Monetization and Impact 🤑
YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. 📈
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Random YouTube Videos Generator
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