Data-Driven Architecture Design: Iterative Process for SuccessData-Driven Architecture Design: Iterative Process for Success
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Most of the architectures I design never reach implementation in their original form. I throw them away myself.
Here is how I work:
1. Data collection. The first thing I do is dig into the client's needs, what hurts in their current process, what result they need at the end, what tools they already use day to day.
2. Market and tools research. I analyse coverage, effectiveness, real fit for the client's market. I keep what they already pay for if it does the job. New subscriptions only if the existing stack cannot cover it.
3. Building a hypothesis. I describe the system logic on paper, trying to think through every detail based on what I gathered.
4. Validation. I question the hypothesis: is this part actually needed? Can it be simpler? What if I replace this with a different tool?
5. Back to data collection. If I drop, replace, or add anything, I run the cycle again. I keep going until the system is simpler and cheaper to implement than the previous version.
By the time I write a proposal, the architecture has already been argued with itself a few times. The version I ship rarely looks like the one I sketched on day one.
That is the point.
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