architecture

To create an Architecture Decision Record, use standardized templates that capture context, trade-offs, and consequences. This ensures team alignment and preserves institutional knowledge when evaluating technology options against objective criteria like performance and scalability.

Fitness functions are automated checks that enforce architectural rules around coupling, cohesion, and dependency structure. They prevent architectural drift by continuously validating that your system design maintains consistent standards as it scales and evolves over time.

To evaluate a microservices architecture, apply coupling and cohesion guidelines to validate service granularity. Use comparison frameworks to assess whether services maintain low coupling and documented schemas, ensuring defensible, data-driven architectural decisions.

Yes, you can use this skill for technology stack selection in software engineering projects of all sizes. It provides objective criteria to compare multiple technology options, ensuring defensible choices that prevent technical debt and cross-team misalignment.

The best way to document architectural choices is generating standardized Architecture Decision Records. These records capture the context and consequences of choosing microservices over a monolith, preventing undocumented decisions that cause technical debt.

You should implement architecture compliance checks when building new platforms or scaling systems. Automated fitness functions enforce dependency structure rules and validate that services maintain low coupling, preventing architectural drift and costly rework.