Engineering
Cheap vs Scalable Architecture: Making the Right Choice
How to pick an architecture that is inexpensive today without trapping your team in rewrite hell tomorrow.
Cheap architectures often mean managed services, monoliths, and minimal ops headcount. Scalable architectures introduce boundaries, queues, and observability—costly early if unused.
The middle path: modular monolith or well-factored services with clear domain seams, plus migration notes for when metrics demand sharding or eventing.
Data models deserve forethought—identifiers, tenancy strategy, and backup policies—because rewiring data later is expensive.
Performance matters even for MVPs; slow apps lose trials. Instrument latency and error budgets from day one.
Document trade-offs explicitly so future engineers understand intent. AI can help draft ADRs if reviewed by humans.
Discuss constraints openly on our affordable SaaS MVP development page—we help teams pick lean defaults with credible upgrade paths.
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