Backend Development 6 min read

Comprehensive Video Series on Software Architecture for Aspiring Architects

This extensive series of 50 video lessons covers fundamental and advanced topics such as technology selection, capacity planning, micro‑service design, database scaling, caching strategies, load balancing, decoupling, layering, and service mesh, providing engineers with the knowledge needed to become proficient architects.

Practical DevOps Architecture
Practical DevOps Architecture
Practical DevOps Architecture
Comprehensive Video Series on Software Architecture for Aspiring Architects

01. Opening words – written for engineers aspiring to become architects.mp4

02. Technology selection – how to choose technologies in the early stage of a startup.mp4

03. Technology selection – should framework components be self‑developed, and when?

04. Capacity design – how does traffic volume affect architecture?.mp4

05. Pseudo‑distributed – you might think multiple machines equal distributed systems?.mp4

06. Access layer – reverse proxy, load balancing, my comments.mp4

07. DNS round‑robin and evolution of the access layer architecture.mp4

08. Access layer – how to ensure session consistency?.mp4

09. Access layer – implementing proximity access and CDN architecture discussion.mp4

10. TCP load balancing – how to play with it?.mp4

11. Performance optimization – static‑dynamic separation as an internet optimization tool?.mp4

12. Performance optimization – read‑write separation, front‑end and back‑end split.mp4

13. Chapter summary – these technologies are sufficient for handling millions of requests.mp4

14. Service‑orientation – what problems does micro‑service architecture actually solve?.mp4

15. Service‑orientation – what is the appropriate granularity?.mp4

16. Service‑orientation – ensuring high availability in micro‑services.mp4

17. Service‑orientation – handling high concurrency in micro‑services.mp4

18. Service‑orientation – load balancing in micro‑services.mp4

19. Service‑orientation – connection pools as a fundamental component of micro‑services.mp4

20. Service‑orientation – high‑availability load balancing relies on connection pools.mp4

21. Database – how to improve read performance?.mp4

22. Database – vertical sharding and high availability.mp4

23. Database – ensuring master‑master consistency and master‑slave consistency?.mp4

24. Database – how to solve scalability?.mp4

25. Database – smooth scaling solutions?.mp4

26. Database – horizontal partitioning for second‑level scaling!.mp4

27. Caching – how to use in‑process cache?.mp4

28. Caching – common misuse of caches?.mp4

29. Caching – best practices on the internet!.mp4

30. Caching – consistency optimization!.mp4

31. Caching – pitfalls of concurrent updates!.mp4

32. Caching – choosing between Redis and Memcached?.mp4

33. Chapter summary – these technologies are sufficient for handling tens of millions of requests!.mp4

34. Decoupling – configuration center and evolution of configuration architecture.mp4

35. Message queue – the internet architecture decoupling tool.mp4

36. Message queue – smooth migration.mp4

37. Decoupling – IP coupling, common library coupling, practical decoupling.mp4

38. Decoupling – database coupling, practical decoupling!.mp4

39. Decoupling – micro‑service coupling, practical decoupling!.mp4

40. Layering – methodology of internet layered architecture.mp4

41. Layering – DAO and service orientation.mp4

42. Layering – is a business service layer necessary?.mp4

43. Layering – front‑end and back‑end separation.mp4

44. Layering – database middleware.mp4

45. Advanced – service mesh (part 1).mp4

46. Advanced – service mesh (part 2).mp4

47. Advanced – multi‑data‑center active‑active architecture (part 1).mp4

48. Advanced – multi‑data‑center active‑active architecture (part 2).mp4

49. Chapter summary – decoupling and layering are endless pursuits.mp4

50. Closing words – written for engineers aspiring to become architects.mp4

--- End of series ---

Recommended reading and additional resources are listed below, covering topics such as Kubernetes monitoring, Prometheus, Jenkins, and essential shell scripting.

software architecturemicroservicesbackend developmentcachingDatabase Scaling
Practical DevOps Architecture
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Practical DevOps Architecture

Hands‑on DevOps operations using Docker, K8s, Jenkins, and Ansible—empowering ops professionals to grow together through sharing, discussion, knowledge consolidation, and continuous improvement.

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