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  • Урок 1. 00:04:42
    What is a system design interview and why it is important?
  • Урок 2. 00:33:16
    Basics for System Design Interviews ( Upgraded Video Coming Soon )
  • Урок 3. 00:07:01
    Sample Application - Code Walkthrough (Demo) - NEW
  • Урок 4. 00:05:42
    CAP Theorem - (New Video)
  • Урок 5. 00:24:44
    Handling your DATA
  • Урок 6. 00:07:40
    Transaction on Data
  • Урок 7. 00:13:59
    What goes in the Middleware layer ?
  • Урок 8. 00:08:23
    Building the middleware layer using MicroServices.
  • Урок 9. 00:07:27
    Building the front end layer (UI)
  • Урок 10. 00:01:19
    Introduction
  • Урок 11. 00:02:39
    Where can a load balancer be placed in a system ?
  • Урок 12. 00:08:01
    Types of Load balancers
  • Урок 13. 00:05:31
    Load Balancing Strategies and Load Types
  • Урок 14. 00:00:36
    Introduction
  • Урок 15. 00:02:08
    Caching
  • Урок 16. 00:06:55
    Types of Cache
  • Урок 17. 00:02:44
    Updating data in cache
  • Урок 18. 00:03:06
    Cache Eviction
  • Урок 19. 00:00:33
    Introduction
  • Урок 20. 00:03:43
    Feed Application Using Cache Servers
  • Урок 21. 00:06:19
    Architecture and Flow of the Sample Application
  • Урок 22. 00:07:01
    Demo
  • Урок 23. 00:00:20
    Introduction
  • Урок 24. 00:02:40
    What is a CDN ?
  • Урок 25. 00:02:23
    Advantages and Disadvantages of CDNs
  • Урок 26. 00:26:16
    Design a scalable ecommerce website like Amazon or Walmart.com ?
  • Урок 27. 00:00:54
    Introduction
  • Урок 28. 00:03:33
    What's a LRU Cache ?
  • Урок 29. 00:05:50
    Building an LRU Cache
  • Урок 30. 00:02:44
    LRU Cache Code (Java)
  • Урок 31. 00:02:36
    LRU Cache Code Continued (Java)
  • Урок 32. 00:07:36
    Efficient LRU Cache
  • Урок 33. 00:25:01
    Efficient LRU Cache Code (Java)
  • Урок 34. 00:11:36
    Distributed Cache Design - Part 1
  • Урок 35. 00:07:11
    Distributed Cache Design - Part 2
  • Урок 36. 00:04:05
    Distributed Cache Design - Part 3
  • Урок 37. 00:00:32
    Introduction - Problem Description
  • Урок 38. 00:02:33
    Digging deep into the problem
  • Урок 39. 00:02:42
    Functional Requirements
  • Урок 40. 00:00:21
    Non functional Requirements
  • Урок 41. 00:01:25
    Approaching the problem with the simplest design first
  • Урок 42. 00:01:44
    Going deeper into the simpler approaches
  • Урок 43. 00:01:39
    Problems with the Simple Approach
  • Урок 44. 00:01:06
    Approaches for a distributed system
  • Урок 45. 00:01:04
    Approach 1 (also its good and bad points)
  • Урок 46. 00:01:10
    Approach 1 continued
  • Урок 47. 00:01:30
    Approach 2 (good and bad points)
  • Урок 48. 00:02:19
    Approach 2 continued
  • Урок 49. 00:05:21
    Approach 3 - final approach
  • Урок 50. 00:00:25
    Introduction - Problem Description
  • Урок 51. 00:02:02
    Understanding the Problem
  • Урок 52. 00:02:36
    Why relational db's are not suited for this kind of problem ?
  • Урок 53. 00:00:57
    What is a recommendation system and its requirements.
  • Урок 54. 00:04:22
    Requirements
  • Урок 55. 00:02:59
    HLD
  • Урок 56. 00:06:09
    Data Ingestion Layer
  • Урок 57. 00:01:20
    Analytics Engine and Approach 1
  • Урок 58. 00:09:30
    Market Basket Analysis - Apriori Algorithm
  • Урок 59. 00:04:27
    Implementation and Code
  • Урок 60. 00:00:45
    Problem with this Approach
  • Урок 61. 00:01:31
    Important point for this case study
  • Урок 62. 00:05:00
    Content Based recommendation
  • Урок 63. 00:06:08
    Content Based recommendation - implementation
  • Урок 64. 00:01:33
    Collaborative Filtering
  • Урок 65. 00:01:24
    Collaborative filtering approach in short
  • Урок 66. 00:00:41
    Introduction
  • Урок 67. 00:03:26
    Requirements and Assumptions
  • Урок 68. 00:01:49
    Back of Envelope Calculations
  • Урок 69. 00:08:25
    HLD
  • Урок 70. 00:00:55
    Sample Data
  • Урок 71. 00:01:28
    API Design
  • Урок 72. 00:01:29
    Building the Rest services of the API
  • Урок 73. 00:03:53
    Low Level Design
  • Урок 74. 00:02:32
    More on low level design
  • Урок 75. 00:05:09
    Storing the TRIE in Cache
  • Урок 76. 00:03:41
    Storing words using big data technologies and finding the word frequencies
  • Урок 77. 00:04:17
    Building the TRIE
  • Урок 78. 00:01:49
    Disadvantages of this Approach