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If you’ve ever sat in a meeting where someone says “We should just move it to Kubernetes” or “Let’s go serverless,” you’ve probably felt it: these terms get treated like upgrades. But VMs, containers, and serverless aren’t levels in a video gam e. They’re different ways to run software — and each one shines in specific situations. Let’s break it down in plain English. The quick mental model Think of it like housing: VMs = a house 🏠 You get your own space and full control, bu

If you’ve ever wondered how a company can run hundreds of applications without owning hundreds of physical servers, the answer is usually one word: Virtualization. It’s one of those “sounds complex” IT terms that’s actually simple once you picture it the right way. The simplest definition Virtualization lets one physical server behave like many separate computers. Instead of buying a dedicated server for every application (expensive and wasteful), companies run multiple virtu

“We don’t use servers anymore — we’re in the cloud.” I hear this a lot. And while I understand what people mean, it’s not quite true. The cloud didn’t replace servers. It replaced your need to see or own them. At its core, a server is just a computer built to serve other computers —reliably, continuously, and at scale. Unlike a laptop, servers are designed to stay on, handle many users at once, and recover quickly when something fails. So, what does a server actually do? Ver

Most people interact with technology every day without ever thinking about how it actually works. We open apps, store files, join video calls, and hear constant talk about cloud, AI, and digital transformation. But behind all of it is a structure — a set of layers — that quietly determines whether technology is reliable, secure, scalable, or fragile. When you start to see IT in layers, everything changes. Modern IT isn’t one thing. It’s a stack. And when one layer is weak, t