It’s always a bit confusing when people talk about virtual machines, virtual hosts, etc. I used to wonder what it meant too, till I gave it time to try and study and understand it, and guess what, it’s not even much of rocket science. In this short blog post, I will do my best to try to simplify what a virtual host service is, and this should be able to help you understand how the virtual ecosystem works.
When people say ‘virtual host service,’ they’re basically talking about renting a virtual server in the cloud instead of buying/maintaining your own physical machine. In practice, it’s like: “I need a computer that lives on the internet, runs 24/7, and I can install whatever I want on it.” According to Amazon’s web services (AWS EC2), these are called instances (virtual servers), and you can scale up/down depending on traffic or workload. DigitalOcean calls theirs Droplets, which are also Linux-based virtual machines you spin up as a new server.
From my perspective as someone learning cloud and analytics, the value is how fast you can go from idea to a working system. If I’m building something data-heavy (like a dashboard, an API that serves model predictions, or a pipeline job that runs monthly), I can launch a server in minutes, secure it, and deploy without needing hardware. That flexibility matters in business analytics because workloads aren’t always steady, sometimes you need extra compute for a model run or for a reporting spike, and you don’t want to permanently pay for maximum capacity if you don’t need it every day.
Sources:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/Instances.html
https://docs.digitalocean.com/products/droplets/getting-started/
https://docs.digitalocean.com/products/droplets/how-to/create/
Image Source: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html
No responses yet