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  1. Урок 1. 00:03:15
    What do we offer?
  2. Урок 2. 00:04:40
    What are Databases?
  3. Урок 3. 00:04:25
    Storage and Retrieval
  4. Урок 4. 00:02:25
    What is a NoSQL database?
  5. Урок 5. 00:02:16
    Types of Databases: Graph, TimeSeries and Object
  6. Урок 6. 00:02:13
    What database should you choose?
  7. Урок 7. 00:01:31
    What is Data Consistency?
  8. Урок 8. 00:03:14
    Linearizable Consistency
  9. Урок 9. 00:01:51
    Eventual Consistency
  10. Урок 10. 00:04:36
    Causal Consistency
  11. Урок 11. 00:06:30
    Quorum
  12. Урок 12. 00:02:01
    Data Consistency Levels Tradeoffs
  13. Урок 13. 00:03:13
    Transaction Isolation Levels - Read Uncommitted Data
  14. Урок 14. 00:03:44
    Read Committed
  15. Урок 15. 00:05:20
    Repeatable Reads
  16. Урок 16. 00:02:01
    Serializable Isolation Level
  17. Урок 17. 00:03:39
    Transaction Level Implementations
  18. Урок 18. 00:00:52
    Conclusion - Transaction Isolation
  19. Урок 19. 00:06:29
    Caching: Basics
  20. Урок 20. 00:03:03
    Caching: Global vs. Local Cache
  21. Урок 21. 00:06:32
    Global Cache Internals
  22. Урок 22. 00:04:36
    Write Policies: Write Back Policy
  23. Урок 23. 00:02:34
    Write Through Policy
  24. Урок 24. 00:03:24
    Write Around Policy
  25. Урок 25. 00:11:15
    Replacement Policies: LRU, LFU and Segmented LRU
  26. Урок 26. 00:02:59
    Breakdown: The physical layer
  27. Урок 27. 00:03:20
    Breakdown: The Routing Layer
  28. Урок 28. 00:04:40
    Breakdown: The behavioral layer
  29. Урок 29. 00:07:29
    Connecting to the internet: ISPs, DNS and everything in between
  30. Урок 30. 00:06:53
    Internal routing: MAC addresses and NAT
  31. Урок 31. 00:08:51
    HTTP, WebSockets, TCP and UDP
  32. Урок 32. 00:07:18
    Communication Standards: REST, GraphQL and GRPC
  33. Урок 33. 00:05:16
    Head of line blocking
  34. Урок 34. 00:10:09
    Video transmission: WebRTC and HTTP-DASH
  35. Урок 35. 00:03:07
    Primary Replica Architectures
  36. Урок 36. 00:04:02
    WAL and Change Data Capture
  37. Урок 37. 00:04:04
    Write Amplification and Split Brain
  38. Урок 38. 00:10:12
    Database Migrations
  39. Урок 39. 00:07:50
    Migrating the Database
  40. Урок 40. 00:11:24
    Migration Across Regions
  41. Урок 41. 00:15:54
    The Oracle and the Timer Wheel
  42. Урок 42. 00:11:43
    Partitioning and Real-life Optimisations
  43. Урок 43. 00:03:46
    Security aspects in distributed systems
  44. Урок 44. 00:09:11
    Token Based Auth
  45. Урок 45. 00:05:02
    SSO and OAuth
  46. Урок 46. 00:06:21
    Access Control Lists and Rule Engines
  47. Урок 47. 00:04:53
    Attack Vectors - Hackers, Developers and Code
  48. Урок 48. 00:06:32
    How videos are protected inside CDNs
  49. Урок 49. 00:10:36
    Design an algorithm for an Audio Search Engine
  50. Урок 50. 00:03:59
    Introduction to design tradeoffs
  51. Урок 51. 00:12:21
    Pull vs. Push Architectures
  52. Урок 52. 00:01:44
    Memory vs. Latency
  53. Урок 53. 00:08:42
    Throughput vs. Latency
  54. Урок 54. 00:05:50
    Consistency vs. Availability
  55. Урок 55. 00:06:35
    Latency vs. Accuracy
  56. Урок 56. 00:05:49
    SQL vs. NoSQL databases
  57. Урок 57. 00:06:02
    Relations Between Tradeoffs
  58. Урок 58. 00:05:29
    The Problem of Distributed Consensus
  59. Урок 59. 00:07:47
    Basic Algorithm
  60. Урок 60. 00:02:58
    Improving the algorithm
  61. Урок 61. 00:07:17
    Termination Conditions
  62. Урок 62. 00:03:37
    Practical Considerations
  63. Урок 63. 00:01:01
    Introduction to Observability
  64. Урок 64. 00:02:10
    Logging - Best Practices
  65. Урок 65. 00:01:27
    Monitoring Metrics
  66. Урок 66. 00:07:13
    Anomaly Detection: Holt-Winters Algorithm
  67. Урок 67. 00:04:09
    Root Cause Analysis
  68. Урок 68. 00:00:37
    Conclusion to Observability
  69. Урок 69. 00:00:22
    Scope and Requirement setting
  70. Урок 70. 00:14:32
    Chapter #1: Service Registration and Proxies
  71. Урок 71. 00:09:27
    Chapter #2: Authentication & Global Caching
  72. Урок 72. 00:09:24
    Chapter #3: API contracts & Versioning
  73. Урок 73. 00:06:05
    Chapter #4: Sending, Tagging & Searching Emails
  74. Урок 74. 00:07:18
    Chapter #5: Contacts & Groups
  75. Урок 75. 00:11:37
    Requirements of a chess website
  76. Урок 76. 00:13:54
    Handling connections at scale
  77. Урок 77. 00:10:14
    Consistent Hashing vs. Sharding
  78. Урок 78. 00:04:31
    Connection related thundering herds
  79. Урок 79. 00:05:14
    Request Batching and Conclusion
  80. Урок 80. 00:05:18
    Live Streaming Requirement Breakdown
  81. Урок 81. 00:05:09
    Video Ingestion and Transformation
  82. Урок 82. 00:07:55
    Transferring processed videos to end users
  83. Урок 83. 00:07:20
    Virtual Advertising for live sports events
  84. Урок 84. 00:05:53
    Google Docs Requirements
  85. Урок 85. 00:05:42
    Document Schema
  86. Урок 86. 00:03:11
    Storing Documents
  87. Урок 87. 00:05:35
    Version History
  88. Урок 88. 00:03:12
    Avoiding Thundering Herds in Crons
  89. Урок 89. 00:02:48
    Compression and Caching
  90. Урок 90. 00:08:21
    Concurrent Writes with Locks
  91. Урок 91. 00:07:48
    Operational Transform Overview
  92. Урок 92. 00:06:15
    Permission Management
  93. Урок 93. 00:06:43
    Requirements of a cab aggregator
  94. Урок 94. 00:08:43
    Static Pricing of Rides
  95. Урок 95. 00:09:05
    Ride Matching
  96. Урок 96. 00:12:26
    Calculating Estimated Time of Arrival
  97. Урок 97. 00:09:53
    Matching Drivers with Live Rides
  98. Урок 98. 00:08:11
    Requirements of a Map application
  99. Урок 99. 00:06:47
    Routing Challenges in Maps
  100. Урок 100. 00:05:12
    Partitioning Algorithm: Splitting the graph into regions
  101. Урок 101. 00:07:39
    Finding the shortest path - A* search
  102. Урок 102. 00:06:26
    GeoHash and other proximity filters
  103. Урок 103. 00:09:46
    Detecting traffic jams and broadcasting updates
  104. Урок 104. 00:09:56
    Calculating an accurate and efficient estimated time of arrival
  105. Урок 105. 00:14:13
    Calling App Design
  106. Урок 106. 00:06:58
    Concept #1: Breaking calls into dialogs
  107. Урок 107. 00:03:23
    Concept #2: The state machine
  108. Урок 108. 00:04:03
    Concept #3: Charging Users
  109. Урок 109. 00:06:19
    Concept #4: Consistent Hashing for caching call state
  110. Урок 110. 00:06:04
    Converting data sources to a lake
  111. Урок 111. 00:03:33
    The Map Reduce Architecture
  112. Урок 112. 00:03:04
    Fault tolerance and engineering optimizations
  113. Урок 113. 00:05:44
    Real time analytics
  114. Урок 114. 00:02:53
    Ranking restaurants in real time and batch
  115. Урок 115. 00:02:22
    Introduction to Low Level Design Series
  116. Урок 116. 00:04:08
    The need for good coding practices
  117. Урок 117. 00:13:05
    Setting Requirements and Objects
  118. Урок 118. 00:09:51
    API and Package Structuring
  119. Урок 119. 00:04:09
    Parent vs. Base class functions
  120. Урок 120. 00:03:23
    Setting the main method
  121. Урок 121. 00:09:34
    Debugging the code
  122. Урок 122. 00:09:45
    Defining responsibilities of AI and Game classes
  123. Урок 123. 00:05:53
    Unit Tests
  124. Урок 124. 00:05:01
    Benefits of Single Responsibility Principle
  125. Урок 125. 00:05:41
    Looking for a Smart AI
  126. Урок 126. 00:07:29
    The need for stateless move exploration
  127. Урок 127. 00:13:30
    Prototype Design Pattern
  128. Урок 128. 00:15:12
    DRY: Dont Repeat Yourself
  129. Урок 129. 00:07:23
    Iterator Design Pattern
  130. Урок 130. 00:06:56
    DRY: Extracting Common Pieces
  131. Урок 131. 00:12:10
    New feature request: Find Forks!
  132. Урок 132. 00:08:55
    Building a Rule Engine
  133. Урок 133. 00:06:56
    Builder Design Pattern
  134. Урок 134. 00:00:50
    Summary: Open-Closed Principle
  135. Урок 135. 00:08:01
    New feature request: Timers!
  136. Урок 136. 00:10:08
    Encapsulating responsibilities in objects
  137. Урок 137. 00:12:32
    Extracting Nested Objects
  138. Урок 138. 00:11:31
    Having Multiple AI personalities
  139. Урок 139. 00:09:05
    Singleton and Null Object Design Pattern
  140. Урок 140. 00:11:41
    Chain of Responsibility Pattern
  141. Урок 141. 00:04:20
    Interface Segregation Principle
  142. Урок 142. 00:02:58
    Dependency Inversion Principle
  143. Урок 143. 00:10:40
    New feature request: Undo Moves with Momento!
  144. Урок 144. 00:10:22
    Proxy and Flyweight Design Pattern
  145. Урок 145. 00:10:24
    The Labyrinth: Five Level Deep For-Loops!
  146. Урок 146. 00:06:43
    State and Strategy Design Pattern
  147. Урок 147. 00:05:06
    Writing Tests for Timed Games
  148. Урок 148. 00:09:15
    Factory Design Pattern
  149. Урок 149. 00:08:34
    Unit Tests and Object Pools
  150. Урок 150. 00:05:23
    Setting Timed Test Cases
  151. Урок 151. 00:15:46
    Fixing bugs in Game Logic and Factories
  152. Урок 152. 00:12:44
    Strategy Design Pattern: Implementation and Benefits
  153. Урок 153. 00:13:03
    New Feature: Email Notifications
  154. Урок 154. 00:06:36
    Inheritance vs. Composition
  155. Урок 155. 00:16:21
    The Publisher Subscriber Model
  156. Урок 156. 00:03:39
    Problem Statement
  157. Урок 157. 00:10:58
    Defining objects states and behaviors
  158. Урок 158. 00:05:35
    Simplified Balances algorithm
  159. Урок 159. 00:05:32
    APIs and coding requirements
  160. Урок 160. 00:03:25
    Low Level Design
  161. Урок 161. 00:10:23
    Coding: Building the service skeleton and defining objects
  162. Урок 162. 00:04:10
    Coding: Algorithm
  163. Урок 163. 00:06:06
    Coding: Test cases
  164. Урок 164. 00:03:03
    Conclusion and Tips
  165. Урок 165. 00:05:24
    #1: Caching: Engineering requirements
  166. Урок 166. 00:04:14
    #2: Read your own writes
  167. Урок 167. 00:02:12
    #3: Defining the core requirements
  168. Урок 168. 00:05:16
    #4: Asynchronous processing: Keeping threads available
  169. Урок 169. 00:06:14
    #5: View Consistency through thread assignment
  170. Урок 170. 00:16:59
    Code #1: Code skeleton for 'Get' and 'Set'
  171. Урок 171. 00:13:27
    Code #2: Setting up fast evictions
  172. Урок 172. 00:12:59
    Code #3: Thread Assignment and updating GET + SET
  173. Урок 173. 00:09:28
    Code #4: Hot loading and Request Collapsing
  174. Урок 174. 00:01:23
    What is an event bus?
  175. Урок 175. 00:09:56
    Breaking down engineering requirements
  176. Урок 176. 00:04:43
    The mechanics of the bus
  177. Урок 177. 00:04:14
    Why use threads?
  178. Урок 178. 00:12:20
    Code Skeleton and using an extensible Retry Algorithm
  179. Урок 179. 00:06:14
    The Keyed Executor
  180. Урок 180. 00:06:56
    Pull and Push Subscribers
  181. Урок 181. 00:04:00
    Defining the data structures in the bus
  182. Урок 182. 00:08:26
    Wrapper Classes
  183. Урок 183. 00:19:46
    Coding the tests
  184. Урок 184. 00:12:36
    Conclusion
  185. Урок 185. 00:06:09
    What will you learn
  186. Урок 186. 00:06:51
    Rate Limiter Overview
  187. Урок 187. 00:10:20
    Implementation Details
  188. Урок 188. 00:09:34
    API Breakdown
  189. Урок 189. 00:12:01
    Models, Controllers, Packages and ThreadPools
  190. Урок 190. 00:15:47
    Reading and Writing Data
  191. Урок 191. 00:11:24
    RateLimiter Client Setup
  192. Урок 192. 00:07:19
    Sliding Window Algorithm Setup
  193. Урок 193. 00:08:29
    Dependency Inversion
  194. Урок 194. 00:10:06
    Sliding Window with Backpressure
  195. Урок 195. 00:05:15
    Clearing Stale Entries in Sliding Window
  196. Урок 196. 01:15:47
    January 2022: Datastores and their Tradeoffs
  197. Урок 197. 01:39:28
    March 2022: Threads and Request Collapsing
  198. Урок 198. 02:00:09
    April 2022: Chess Low Level Design
  199. Урок 199. 01:35:28
    May 2022: Message Queues
  200. Урок 200. 01:43:41
    June - Design a Payment System
  201. Урок 201. 01:23:36
    July - Caching, Paxos and Zookeeper
  202. Урок 202. 01:46:47
    Data Corruption and Alerts Monitoring
  203. Урок 203. 01:40:08
    Caching: Doubts and Clarifications
  204. Урок 204. 01:51:11
    August - Database Doubts
  205. Урок 205. 01:37:45
    Design a subscription manager
  206. Урок 206. 01:42:15
    Rule Engines
  207. Урок 207. 02:09:44
    October - Kafka Internals
  208. Урок 208. 01:50:58
    October 2022 - Implementing a File System
  209. Урок 209. 01:52:31
    Pessimistic and Optimistic Locking
  210. Урок 210. 01:00:10
    Producers and Consumers: November Meet
  211. Урок 211. 01:07:32
    IRCTC Algorithm: December
  212. Урок 212. 01:40:39
    Google Docs and Chess Design Queries
  213. Урок 213. 01:57:57
    Jan 2023: DNS, CDNs, and everything in between
  214. Урок 214. 01:07:09
    Jan 2023: API design and other discussions
  215. Урок 215. 01:26:21
    Feb 2023: Permission Management System
  216. Урок 216. 01:27:17
    March 2023: Eventual Consistency Levels
  217. Урок 217. 01:04:07
    March 2023: Fetch top K hits in a distributed system
  218. Урок 218. 02:01:05
    April 2023: Distributed Consensus and Load Balancing
  219. Урок 219. 01:33:43
    April 2023: Graph Databases with Facebook TAO
  220. Урок 220. 02:10:47
    May 2023: The SideCar Pattern
  221. Урок 221. 01:33:49
    May 2023: Permission Management
  222. Урок 222. 01:56:24
    June 2023: Clients, Comments and APIs
  223. Урок 223. 01:37:40
    July 2023: Design an Event Handler
  224. Урок 224. 02:06:59
    July 2023: Highly Scalable Concurrent Booking Systems
  225. Урок 225. 01:44:01
    August 2023 - Google Calendar Low-Level Design
  226. Урок 226. 01:22:05
    August 2023 - Designing IRCTC
  227. Урок 227. 01:47:38
    September - Design Judge Launch
  228. Урок 228. 02:15:24
    September - Tech in a startup
  229. Урок 229. 02:08:19
    October - Live Watch Party Design
  230. Урок 230. 01:57:21
    November - Memcached Reading
  231. Урок 231. 02:05:42
    November - Memcached Revision
  232. Урок 232. 02:19:30
    December: Memcached Paper Reading - 2
  233. Урок 233. 00:07:42
    Monoliths vs Microservices
  234. Урок 234. 00:07:53
    Horizontal vs Vertical Scaling
  235. Урок 235. 00:10:14
    Load Balancing
  236. Урок 236. 00:08:42
    An introduction to distributed systems
  237. Урок 237. 00:06:00
    Single Point of Failure
  238. Урок 238. 00:08:56
    Sharding
  239. Урок 239. 00:05:30
    Service discovery and Heartbeats
  240. Урок 240. 00:13:12
    Capacity Planning and Estimation: How much data does YouTube store daily?
  241. Урок 241. 00:11:09
    Content Delivery Networks
  242. Урок 242. 00:06:22
    API Design Goals
  243. Урок 243. 00:08:57
    API Design in Practice
  244. Урок 244. 00:04:09
    The Message Queue: Problem Statement
  245. Урок 245. 00:05:35
    Asynchronous processing: benefits
  246. Урок 246. 00:11:21
    Publisher Subscriber Models
  247. Урок 247. 00:03:36
    Event Driven Architectures
  248. Урок 248. 00:04:57
    Event Driven Architectures - Advantages
  249. Урок 249. 00:05:44
    Event Driven Architectures - Disadvantages
  250. Урок 250. 00:05:58
    Distributed data consistency
  251. Урок 251. 00:05:14
    Data Consistency across Continents
  252. Урок 252. 00:04:58
    Leader-follower architectures
  253. Урок 253. 00:09:31
    Tradeoffs - 2 phase commit protocol
  254. Урок 254. 00:09:47
    Difference between SQL and NoSQL
  255. Урок 255. 00:07:35
    Cassandra Internals
  256. Урок 256. 00:03:14
    Quorom
  257. Урок 257. 00:05:29
    Write Heavy DB Design
  258. Урок 258. 00:05:05
    Write Heavy DB Design - Merging Sorted String Tables
  259. Урок 259. 00:06:45
    Write Heavy DB Design - Query optimisations
  260. Урок 260. 00:08:17
    Location Representation
  261. Урок 261. 00:01:51
    Data Structure - Quad Tree
  262. Урок 262. 00:12:00
    Range Queries and Hilbert Curve
  263. Урок 263. 00:06:25
    Motivation
  264. Урок 264. 00:06:38
    Infrastructure Requirements
  265. Урок 265. 00:05:17
    Practical considerations
  266. Урок 266. 00:01:49
    Containers: A friendly Introduction
  267. Урок 267. 00:05:36
    Containers: Usecases
  268. Урок 268. 00:02:49
    System Requirements
  269. Урок 269. 00:08:13
    One to one messaging
  270. Урок 270. 00:03:39
    Last Seen Timestamps
  271. Урок 271. 00:10:13
    Group Messaging
  272. Урок 272. 00:03:57
    Requirements
  273. Урок 273. 00:06:49
    Image Storage: Files vs. Database BLOB
  274. Урок 274. 00:05:48
    Profile Creation and Authentication
  275. Урок 275. 00:05:08
    One to One chat messaging
  276. Урок 276. 00:03:19
    Matching right-swiped users
  277. Урок 277. 00:08:41
    Serving recommendations to users
  278. Урок 278. 00:02:52
    Requirements
  279. Урок 279. 00:06:04
    Designing the Data Schema
  280. Урок 280. 00:02:17
    Following Users
  281. Урок 281. 00:05:25
    User Feed Service
  282. Урок 282. 00:06:15
    Scaling the Instagram news feed
  283. Урок 283. 00:07:26
    Anomaly Detection
  284. Урок 284. 00:06:11
    Video Processing
  285. Урок 285. 00:04:19
    ISP Synergy
  286. Урок 286. 00:07:37
    System Design Tips
  287. Урок 287. 00:06:35
    Dos and Don'ts
  288. Урок 288. 00:07:46
    Online Judge
  289. Урок 289. 01:57:21
    289 1 Caching for Social Media
  290. Урок 290. 02:05:41
    290 1-1 Caching for Social Media - Revision
  291. Урок 291. 02:19:30
    291 2 Cascading Failures and Code Caches
  292. Урок 292. 01:30:07
    292 3 Managing consistency across regions
  293. Урок 293. 02:03:24
    293 1 Motivation and Data Model
  294. Урок 294. 01:42:21
    294 2 APIs and Google Spanner
  295. Урок 295. 02:01:37
    295 3 Overall Architecture and Optimizations
  296. Урок 296. 00:32:37
    296 4 Rate Limiting and Request Collapsing
  297. Урок 297. 00:02:49
    297 1 What is a time series database
  298. Урок 298. 00:03:59
    298 2 Requirements
  299. Урок 299. 00:04:44
    299 Time Series Databases-3
  300. Урок 300. 00:00:05
    300 3 Data Schema
  301. Урок 301. 00:11:49
    301 4 Compression Algorithms
  302. Урок 302. 00:04:28
    302 5 Persistence
  303. Урок 303. 00:04:25
    303 6 Tradeoffs - Choosing a time window
  304. Урок 304. 00:04:18
    304 7 Load Balancing
  305. Урок 305. 00:01:37
    305 8 Replication and Fault tolerance
  306. Урок 306. 00:06:09
    306 9 Monarch's architecture
  307. Урок 307. 00:02:27
    307 10 System features
  308. Урок 308. 00:03:46
    308 11 Query Optimization
  309. Урок 309. 01:03:54
    309 Livestream GorillaDB Timeseries database
  310. Урок 310. 00:38:41
    310 Livestream GorillaDB Timeseries database II
  311. Урок 311. 01:16:42
    311 1 Usecases and Data Schema
  312. Урок 312. 01:23:08
    312 2 Data Consistency and evictions
  313. Урок 313. 00:32:04
    313 3 Cache Features for the graph
  314. Урок 314. 01:13:54
    314 Google Dremel
  315. Урок 315. 01:52:15
    315 Kafka Paper Reading - Combined
  316. Урок 316. 01:11:25
    316 Apache Spark - Combined
  317. Урок 317. 00:55:24
    317 What are Vectors
  318. Урок 318. 00:37:28
    318 Vector Indexes - HNSW