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.

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What Is Layered Architecture in Software?

Think of your favourite layer cake — sponge, then cream, then fruit, each layer sitting neatly on the one below it. Software can be built the very same way. This guide unpacks layered architecture from the ground up — the classic layers (presentation, business, persistence, data), how a request travels through them, the main flavours (3-tier vs. n-tier, strict vs. relaxed, open vs. closed, plus hexagonal/onion cousins and MVC), strengths, trade-offs, when to use it, common mistakes, and the habits that keep layers clean over years.

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