system-design-patterns

To evaluate a new software architecture feature, apply structured decision frameworks that compare monolith and microservices based on explicit criteria. This provides clear rationale for selecting an architecture, ensuring choices are repeatable and transparent for stakeholder alignment.

An architectural design review checklist for scalability includes boundaries, data ownership, failure modes, performance, and risk assessment. Reviewing these explicit criteria ensures architecture choices are consistent and error-free across data stores and services.

Document architectural decisions and trade-offs for stakeholders by creating architecture decision records during technology selections. This framework makes the decision process transparent, providing future traceability and alignment across teams regarding data stores and service boundaries.

Choose SQL vs NoSQL data store architecture by applying explicit decision criteria during design reviews. This framework evaluates data ownership and scalability requirements, ensuring your technology selections align with architectural boundaries and risk assessment profiles.

The best way to structure an architectural decision plan is to provide a concise evaluation selecting monolith or microservices based on clear criteria. Documenting the rationale and trade-offs during design reviews makes the architecture choices transparent and repeatable.

Yes, this architecture decision framework works for evaluating sync vs async communication by applying structured checklists during design reviews. It assesses failure modes and performance trade-offs to ensure technology selections align with scalability and risk requirements.