| Resource | Focus | Best for | |----------|-------|-----------| | | Interview‑ready problems & framework | Targeted interview prep | | Designing Data‑Intensive Applications (Kleppmann) | Deep theory & internals | Long‑term system education | | Grokking the System Design Interview (course) | Similar problems, less depth | Quick interactive prep |
| Mistake | Consequence | Xu’s Fix | |---------|-------------|-----------| | Jumping straight to components without scope | Wasted time on irrelevant scaling | Step 1: clarify requirements first | | Using only one database type | Missed opportunities to optimize | Consider polyglot persistence (e.g., SQL for orders, Redis for session cache) | | Ignoring write bottlenecks | System fails under load | Estimate read/write QPS early; propose sharding or queueing | | Over-engineering with 20 microservices | Complexity without clarity | Start monolithic, split only where needed | | Not discussing trade-offs | Appears inexperienced | Explicitly state: “I choose Cassandra over MySQL because we prioritize availability and partition tolerance (AP).” | system design interview an insider-s guide by alex yu.pdf
This book provides a step-by-step framework for how to tackle a system design question. It includes many real-world examples | Resource | Focus | Best for |
The book dedicates substantial space to reusable architectural components, each with trade-offs. SQL for orders