Architectural Reasoning
The reader will develop a structured approach to decomposing any system design problem, making defensible trade-off decisions, and communicating architectural reasoning clearly under interview pressure.
Requirement gathering frameworks, capacity estimation, API design, database selection, caching strategies, load balancing, message queues, microservices vs monoliths, consistency models, sharding, replication, CDNs, rate limiting, monitoring, and 20+ end-to-end case studies.
A personal design playbook covering 20+ system design scenarios with trade-off matrices, capacity estimation templates, and component selection rationale.
