Making of Unreliable Systems

Knowing anti-patterns and pitfalls is often more useful than knowing patterns when designing a system, so I decided to write this blog post about factors that I think will lead to producing unreliable systems from my experiences in designing (mostly) distributed enterprise applications.
I’ll be pleased to know your related experiences and comments on the matter.

What Is Modeling?

The human brain is a pattern-seeking device. However, it’s a costly process, and the main goal of thinking is to terminate/resolve what caused this process to start in the first place; so it has developed several mechanisms to prevent it from happening too often; the one related to our discussion here is the mental model. Reality is complex, chaotic, and too messy for our limited brain capabilities and resources to comprehend as it is (if that’s even possible); so our minds will try to create an alternative reality which is very simple and (most of the time) easily understandable, and that’s what modeling is all about! from how we think about how nature works, in science for example, to proper social behavior, to what to be afraid of or seek for, all are the results of our mental model. It is noteworthy that models are neither objective reality nor meant to be so!

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