software-architect

Data modeling for event-driven systems requires designing schemas, APIs, and events while balancing reliability and scalability constraints. The process clarifies operational goals and compares trade-offs to produce secure, simple data structures aligned with your architecture.

Choosing between monolith and microservices architecture requires evaluating pattern trade-offs, identifying hard parts of your system, and comparing reliability and security impacts. The decision workflow clarifies your goals to recommend a solution with a concrete execution plan.

Writing lightweight architecture documentation involves capturing system constraints, trade-offs, and operational considerations. It focuses on clarifying architectural goals, evaluating patterns, and recording recommended solutions with execution plans based on KISS and YAGNI principles.

Planning for scalability and security posture is achievable without complex system design by applying pragmatic principles like KISS, YAGNI, and EDUF. The workflow clarifies goals, identifies hard parts, and compares options to produce simple, reliable designs.

You should not use microservices when evaluating architectural trade-offs reveals that reliability, security, or operational constraints favor a simpler design. Applying YAGNI principles helps identify if a monolithic approach better suits your current system goals and execution plan.