System Design Lesson 33 – Recommendation Systems | Dataplexa

System Design

I. Beginner
1. Introduction 2. Design Thinking 3. Requirements 4. Functional vs Non-Functional 5. CAP Theorem 6. Scalability 7. Latency & Throughput 8. Availability & Reliability 9. Load Balancing 10. Caching 11. Databases 12. SQL vs NoSQL 13. Replication 14. Partitioning 15. Beginner Exercise
II. Intermediate
16. Message Queues 17. Event-Driven 18. Microservices 19. Service Discovery 20. API Design 21. Rate Limiting 22. Auth & Authorization 23. Consistency 24. Distributed Transactions 25. Observability 26. Logging & Monitoring 27. Fault Tolerance 28. Circuit Breaker 29. Intermediate Exercise 30. System Review
III. Advanced
31. Large Scale Systems 32. Search Systems 33. Recommendation Systems 34. Streaming Systems 35. Case Studies 36. Interviews 37. Best Practices 38. Trade-offs 39. Mistakes 40. Wrap-Up
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