Introduction Preparing for Google Cloud certifications can feel overwhelming. Most resources focus heavily on theory, but when it comes to the actual exam, what really matters is how well you can apply concepts in real scenarios. While preparing myself, I realized there was a lack of free practice exams with clear explanations, so I built something to solve that. I created free GCP practice exam
You're in another app and there's a timer counting down at the top of your phone. You lock the screen and the same timer is sitting there. You swipe down to the Notification Center and it's there too, still ticking. It looks like a notification, but a notification can't tick. That's a Live Activity. It looks like three different surfaces (Dynamic Island, lock-screen banner, Notification Center ent
The email arrived on a Tuesday morning: "Your cloud bill for last month: $2.4 million." The CFO's response was immediate: "That's 3x our budget. What the hell are we running?" The answer? Nothing special. Just a standard data analytics workload that happened to cross availability zones. A lot. Turns out, 80% of that bill—nearly $2 million—was data egress fees. Not compute. Not storage. Just the pr
I kept watching the same thing happen. What I Built It's a 3D interactive sales simulator. I call it a flight simulator for software — except instead of flying a plane, you're walking a non-technical client through the risk inside their own infrastructure. The Map You feed it a simple JSON file describing your client's tech stack. It reads it and instantly draws a floating, 3D web of nodes — s
OK, let's talk about Microsoft's new Fairwater "AI factory,” (The quotes here are doing a lot of work… do we REALLY need a new name for this? It’s so dumb). They're calling it the world's most powerful AI datacenter. Cool. Millions of GPUs. Liquid cooling. Storage stretching five football fields. Here's what they're NOT telling you: the math on utilization is going to be BRUTAL. If these chips ran
I thought I found a great deal on an H100. ~$2.50/hour. Way cheaper than what I’d seen elsewhere. On paper, it looked like a no-brainer. It wasn’t. Like most people, I compared GPU providers based on: hourly price That’s how every pricing page is structured. So naturally, that’s how we evaluate them. But after actually running workloads, it became obvious: the hourly rate is one of the least impor
I finished an English series on the way I think ordinary people can start using AI for real work. The point is not to become an AI expert first. The point is to have one place where you can say what you want, give the tool access to the right folder, and check the result. Anything important still needs a human pause: publishing, deleting, paying, or authorizing. My preferred starting point is simp
The Model Context Protocol (MCP) has become the default standard for connecting AI agents to external tools and APIs. Governed by the Linux Foundation since early 2025 and adopted by OpenAI, Anthropic, Microsoft, and Vercel, MCP is the USB-C port of the AI ecosystem — one protocol that lets any LLM application talk to any tool server. But there's a gap between reading the spec and building somethi