Stop Adding AI to Your Architecture
Bolting AI onto existing systems rarely works. You must redesign around probabilistic components, economic constraints, and data gravity or pay for it in latency, fragility, and cloud bills.
Knowing Better IT
Latest posts
5 Architectural Decisions That Will Make or Break Your AI Product
AI failures aren’t about algorithms, they’re about architecture. Discover five architectural decisions drawn from real-world experience revealing hidden traps, cost explosions, and potential pitfalls.
Why This Ransomware Attack Failed
A contractor’s compromised laptop begins encrypting a network share. In a flat network, this is the beginning of the end. But in this environment, the attack hit a “pressure-sealed” boundary. Two hours later, the incident was closed: one isolated VM, zero data loss, and critical systems unaffected. This wasn’t luck, itt was architectural engineering. Here is how to design for the inevitable breach…
When “More” Makes the System Worse
Adding features is the default response to almost every product or stakeholder request. It feels constructive, measurable, and safe. Yet in real-world systems, feature growth is one of the primary drivers of architectural stagnation.