rcode-waleed-architect

System design decisions between a modular monolith and microservices require evaluating team capacity, timeline, scalability needs, and maintenance costs. Comparing these constraints with explicit trade-off analysis and change-cost reasoning helps justify the chosen architecture while accounting for blast radius and reversibility.

An architecture decision record (ADR) documents non-trivial technical decisions for long-lived projects by capturing rationale, trade-offs, and constraints. You need an ADR when justifying stack selection, system boundaries, or database choices to ensure durable, documented outcomes that account for reversibility and blast radius.

Scalability planning reviews evaluate your system architecture by analyzing deployment models, data stores, and system boundaries against expected growth. The process requires explicit trade-off analysis, assessing maintenance costs, team capacity, and blast radius to determine if the architecture can handle increased load.

Comparing database trade-offs during tech stack selection involves evaluating data stores against practical constraints like reversibility, maintenance cost, and team capacity. The best approach uses explicit trade-off analysis and change-cost reasoning to document outcomes and justify your technical decision.

Architecture guidance for small teams factors team capacity directly into technical decisions, ensuring stack selection and system design match available resources. It evaluates maintenance costs and blast radius to recommend reversible choices that prevent over-engineering and minimize long-term technical debt.

System design reviews require explicit trade-off analysis and change-cost reasoning to prevent irreversible architectural mistakes. Documenting these factors ensures that stack selection and scalability planning account for blast radius, team capacity, and maintenance costs before committing to a technical path.