quality-attributes

Evaluate system across all quality attributes and identify improvement priorities.

Plan scaling strategy for growth. Model infrastructure and cost implications.

Compare design options systematically using weighted decision matrix.

Optimize infrastructure and operational costs without sacrificing performance or reliability. Use when managing cloud budgets or improving unit economics.

Assess and design for maintainability. Evaluate code complexity, coupling, and testability. Use when evaluating codebase health or designing for long-term evolution.

Design observability (metrics, logs, traces) for understanding system behavior in production. Use when debugging distributed systems or building monitoring.

Model system performance, predict latency under load, identify bottlenecks. Use when optimizing performance or capacity planning.

Design systems that fail gracefully and recover automatically. Use when defining SLAs, designing for fault tolerance, or improving uptime.

Analyze and predict system scalability. Model growth, identify bottlenecks, project infrastructure costs. Use when planning for growth or investigating performance limits.

Design security architecture covering authentication, authorization, data protection, and threat models. Use when building security-critical systems.

Analyze architectural trade-offs systematically using decision matrices. Use when comparing design options or justifying architectural choices to stakeholders.