
DRY vs WET: The Database Normalization Trade-off
Why normalization is not always the answer and when denormalization makes sense.

Why normalization is not always the answer and when denormalization makes sense.

Whirlpools look like galaxies. Veins look like rivers. And crowd panic looks mathematically identical to boiling water. Why patterns repeat across systems and how noticing them makes you a better engineer.

Adding servers to compensate for inefficiency is like buying a bigger fridge because it’s full of spoiled food. Why horizontal scaling creates the exact same problems as 26-lane highways.