system-design

Design scalable system architecture using a structured six-step process covering requirements clarification, capacity estimation, API contracts, data modeling, component design, and ADR documentation. This framework enforces non-functional requirements and design patterns to improve reliability from first principles.

Capacity estimation in system design calculates the resource requirements needed to handle expected loads reliably. You need it when planning a new service to ensure scalability, evaluate technology stack trade-offs, and apply appropriate availability and resilience patterns before deployment.

Document architectural decisions using Architecture Decision Records (ADRs) to capture the rationale and consequences of your choices. This governance approach ensures design trade-offs and risk analyses are recorded, making system reliability and scalability decisions transparent for future evaluation.

Yes, this system design process supports selecting technology stacks and evaluating bottlenecks by guiding you through component design and capacity planning. It provides actionable checklists and recommended patterns to identify scalability limits and analyze trade-offs for new services.

The best way to structure non-functional requirements for a reliable architecture is to enforce them throughout a six-step design process. Integrating capacity planning, reliability patterns, and ADRs ensures scalability and availability constraints are addressed during component design rather than retrofitted later.