System Design for Working Engineers, Not Interview Prep

Short summary

Real system design differs from interview prep: clarify chaotic requirements, start with modular monoliths (not microservices), buy solutions over building them, and scale incrementally based on observability and business growth. Over-engineering for hypothetical scale creates tech debt; a single Linux server with a reverse proxy beats Kubernetes and Kafka for 500 users. Scale when predictable growth arrives and observability data shows bottlenecks.

• •Real system design starts with unclear requirements from business teams; ask about functional/non-functional needs, load patterns, and authentication before proposing architecture
• •Avoid over-engineering early: monoliths with modular code are better than microservices for small teams and 500 users; add Kafka, K8s, and distributed tracing only when scale demands it
• •Make architectural trade-offs based on cost to change later and shipping this quarter; buy payment systems and analytics solutions rather than building; scale incrementally based on observability data

Generated with AI, which can make mistakes.