Why coupling matters
Most principles come down to one question: when this part changes, what else has to change with it?
One change, two architectures
Modules to retest and redeploy
5 / 5
Shared tables and direct calls mean every neighbor has to be retested, and releases need to be coordinated.
Illustrative example
Separation of concerns
Divide the system into distinct layers (presentation, business logic, data access) with clear responsibilities. Each layer should be independently deployable, testable, and replaceable without affecting others. This principle reduces complexity and improves maintainability.
Scalability & performance
Design for horizontal scaling from day one. Use caching, asynchronous processing, and database optimization. Identify bottlenecks early through performance testing. Implement auto-scaling policies and monitor resource utilization.
Security by design
Security is not an afterthought. Apply defense in depth with multiple security layers. Follow least privilege principles for access control. Encrypt data at rest and in transit. Implement comprehensive audit logging and monitoring.
Cloud-native design
Leverage cloud services for infrastructure, storage, and compute. Design for failure with retry logic, circuit breakers, and graceful degradation. Use managed services to reduce operational overhead. Follow the Azure architecture guide.
Business alignment
Architecture decisions must support business goals. Understand stakeholder priorities (time-to-market, cost, reliability). Balance technical excellence with pragmatism. Communicate trade-offs clearly to business leaders.
Evolvability & flexibility
Systems must evolve as requirements change. Use loose coupling and high cohesion. Apply SOLID principles. Avoid over-engineering while planning for extensibility. Document architectural decisions and rationale.