Why Can’t a System Be Optimized for Everything at Once?
Faster, cheaper, simpler, safer, and able to handle a million users — every team wants all five. This guide explains the honest reason no system ever gets all five at maximum strength: shared limited resources, mathematically opposite goals, and the weight every extra feature adds. Plus a look at the four ingredients (time, space, money, simplicity), the classic time-space trade-off, common optimization conflicts, and a practical measure-first method for deciding what to optimize.