Essential numbers for capacity estimation: latencies, throughput, storage sizes
When to use which database, cache, queue, or storage solution
Common trade-offs and how to discuss them: consistency vs availability, latency vs throughput
What to say when: clarifying requirements, proposing solutions, discussing trade-offs
Step-by-step checklist to ensure you cover all aspects of system design
CAP theorem explained with real-world examples and database classifications
Flow chart for choosing the right database based on your requirements
Cache patterns, invalidation strategies, and when to use each
REST vs GraphQL, pagination, rate limiting, versioning patterns
Horizontal vs vertical scaling, sharding strategies, replication patterns
Total: 11 pages when printed