I like understanding how things behave in the real world.
My background is in enterprise infrastructure, virtualization, cloud platforms and engineering leadership. Over the years, the tools changed—from Windows Server, Hyper-V and VMware to cloud platforms, automation and now AI—but the underlying questions remained surprisingly consistent.
How does a system fail? Who operates it? What is hidden by the abstraction? And does the technology still make sense after the presentation ends?
This site is where I document those questions, along with practical notes from my work, homelab experiments, AI workflows and other technical interests.
Prefer evidence and working systems over fashionable terminology.
Document failures and trade-offs, not only successful final states.
Keep useful knowledge accessible long after the feed moves on.