30 system design concepts

  1. Use autoscaling for traffic spikes
  2. design for scalability from the start
  3. plan for and implement fault tolerance
  4. prioritize horizontal scaling for scalability
  5. implement data partitioning and sharding
  6. use data lakes for analytics and reporting
  7. employ CDNs for global latency reduction
  8. make operations idempotent for simplicity
  9. use event-driven architecture for flexibility
  10. employ blob/object storage for media files
  11. embrace tradeoffs; perfection is unattainable
  12. implement Data Replication and Redundancy
  13. Implement rate Limiting for system protection
  14. use a read-through cache for read-heavy apps
  15. utilize write-through cache for write-heavy apps
  16. opt for NoSQL Databases for unstructured data
  17. use Heartbeat Mechanisms for failure detection
  18. adopt WebSockets for real-time communication
  19. employ Database Sharding for horizontal scaling
  20. clearly define system use cases and constraints
  21. consider microservices for flexibility and scalability
  22. design for flexibility; expect requirements to evolve
  23. utilize Database Indexing for efficient data retrieval
  24. understand requirements thoroughly before designing
  25. Utilize asynchronous processing for background tasks
  26. consider denormalizing databases for read-heavy tasks
  27. avoid over-engineering; add functionality only as needed
  28. prefer SQL Databases for structured data and transactions
  29. use Load Balancers for high availability and traffic distribution
  30. consider message queues for asynchronous communication