Software Architect

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Book: 97 Things Every Software Architect Should Know
Publisher: O’Reilly Media
Author: Richard Monson-Haefel
97 Things Every Software Architect Should Know – 58/97

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Sometimes accepting a constraint or giving up on a property can lead to a better architecture, one that is easier and less expensive to build and run. Like buses, desirable properties tend to come in threes and trying to define and build a system that supports all three can result in system that does nothing especially well.

A famous example is Brewer’s conjecture, also know as Consistency, Availability, and Partitioning (CAP), which states that there are three properties that are commonly desired in a distributed system – consistency, availability, and partition tolerance, and that it is impossible to achieve all three. Trying to have all three is going drastically increase the engineering costs and typically increase complexity without actually achieving the desired effect or business goal. If you data must be available and distributed, achieving consistency becomes increasingly expensive and eventually impossible Likewise if the system must be distributed and consistent, ensuring consistency will lead at first to latency and performance problems and eventually to unavailability as the system cannot be exposed as it tries to reaches agreement.

It’s often the case that one or more properties are considered inviolate – data cannot be duplicated, all writes must be transactional, the system must be 100% available, calls must be asynchronous, there must be no single point of failure, everything must be extensible, and so on. Apart from being naive, treating properties as religious artifacts will stop you thinking about the problem at hand. We start to talk about architectural deviation instead of principled design and we confuse dogmatism with good governance. Instead we should ask, why must these properties hold? What benefit is to had by doing so? When are these properties desirable? How can we break the sustem up to achieve a better result? Be ever the skeptic, because architectural dogma typically tends to undermine delivery. The inevitability of such tradeoffs is one of the most difficult things to accept in software development, not just as architect, but also as developers and stakeholders. But we should cherish them as it’s far better than having limitless choice and accepting tradeoffs often induces a creative and inventive result.

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By Swatantra Kumar

Swatantra is an engineering leader with a successful record in building, nurturing, managing, and leading a multi-disciplinary, diverse, and distributed team of engineers and managers developing and delivering solutions. Professionally, he oversees solution design-development-delivery, cloud transition, IT strategies, technical and organizational leadership, TOM, IT governance, digital transformation, Innovation, stakeholder management, management consulting, and technology vision & strategy. When he's not working, he enjoys reading about and working with new technologies, and trying to get his friends to make the move to new web trends. He has written, co-written, and published many articles in international journals, on various domains/topics including Open Source, Networks, Low-Code, Mobile Technologies, and Business Intelligence. He made a proposal for an information management system at the University level during his graduation days.

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