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To architect is to be a frustrated perfectionist; a good architecture minimizes this unhappiness by making trade-offs that can be lived with. The main skill in architecting is making trade-offs. These trade-offs reflect the most important and difficult decisions a team will make about its architecture.

AI enhances software architecture by informing decisions, suggesting alternatives, and streamlining documentation. While it can’t replace human judgment, it accelerates MVP development and supports experimentation, trade-off analysis, and technical debt management when provided with sufficient context.

In recent years we have seen a significant increase in apps built using a microservices architecture. The main reason we select this approach is to have small teams that can work in isolation without having them trip over each other. Yet, this is an organizational problem, not a technical one. We can also build each service in different technology and scale independently.

Capturing and storing architectural decisions

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format. - priyankaverg...

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