Practical System Design: Build Real Systems in AWS [8/2026, ENG] torrent

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Practical System Design: Build Real Systems in AWS

Год выпуска: 8/2026
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/practical-system-design/
Автор: David Yu
Продолжительность: 14h 34m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: This course teaches system design by building real-world projects from scratch using modern backend tools and cloud infrastructure, rather than stopping at high-level diagrams. It connects each box in a system diagram to real implementation details—what services to use, what code to write, what tradeoffs matter, and how systems behave in production—so you develop genuine engineering intuition instead of memorizing interview answers. You'll build three projects: a URL Shortener clone covering APIs, database schema design, key generation, caching, load balancing, high availability, cloud deployment, and change data capture; a Ticketmaster clone exploring concurrency, distributed locks, reservation flows, virtual queues, search, payments, and high-traffic scaling; and a Kafka-style distributed event system diving into throughput, durability, reliability, replication, leader election, fault tolerance, consumer groups, offsets, and scalability.

The course covers Python, Flask, MySQL, HTML, AWS (Lambda, API Gateway, EC2, CloudFront), Terraform, Docker, Redis, Kafka, ZooKeeper, OpenSearch, Stripe, WebSocket, distributed systems, and event-driven architecture. It is aimed at engineers leveling up backend and system design skills, developers preparing for interviews, hands-on learners who prefer building over theory, and anyone curious about how large-scale systems work. By the end, you'll be able to discuss system design more confidently, understand functional and non-functional tradeoffs, build scalable backend systems from scratch, perform better in interviews, and think more like a senior engineer.
[spoiler="Содержание"]
1 - Introduction
2 - Introduction (05:13)

2 - URL Shortener Clone
4 - Url Shortener - Section 0 Intro & Workflow Demo (06:12)
5 - Url Shortener - Section 1 MySQL Setup & Schema Design (09:23)
6 - Url Shortener - Section 2 Read Service Lambda Setup + Testing (11:51)
7 - Url Shortener - Section 3 Write Service + URL Generation (14:45)
8 - Url Shortener - Section 4 Global Counter + Redis Integration (18:42)
9 - Url Shortener - Section 5 Caching Strategy (Redis) (09:39)
10 - Url Shortener - Section 6 API Gateway + Routing (10:49)
11 - Url Shortener - Section 7 (Part 1) EC2, Load Balancing & Auto Scaling (19:04)
12 - Url Shortener - Section 7 (Part 2) EC2, Load Balancing & Auto Scaling (17:18)
13 - Url Shortener - Section 8 (Part 1) CDC Pipeline + Kinesis Kafka (21:46)
14 - Url Shortener - Section 8 (Part 2) CDC Pipeline + Kinesis Kafka (13:24)
15 - Url Shortener - Section 9 (Part 1) Aurora MySQL & Replication (17:14)
16 - Url Shortener - Section 9 (Part 2) Aurora MySQL & Replication (14:55)
17 - Url Shortener - Section 10 Cost Review & Resource Cleanup (08:42)

3 - Ticketmaster Clone
20 - Ticketmaster - Section 0 Intro & Workflow Demo (07:16)
21 - Ticketmaster - Section 1 MySQL Setup & Schema Design (12:33)
22 - Ticketmaster - Section 2 Event Discovery Service Setup (09:14)
23 - Ticketmaster - Section 3 Booking Service Phase 1 Ticket Locking (18:47)
24 - Ticketmaster - Section 4 Booking Service Phase 2 Payment Gateway Integration (19:21)
25 - Ticketmaster - Section 5 API Gateway + Frontend Refactor (22:23)
26 - Ticketmaster - Section 6 (Part 1) Virtual Waiting Queue (23:41)
27 - Ticketmaster - Section 6 (Part 2) Virtual Waiting Queue (11:57)
28 - Ticketmaster - Section 7 (Part 1) Live-Updating Seat Map Foundation (12:43)
29 - Ticketmaster - Section 7 (Part 2) Live-Updating Seat Map Foundation (12:34)
30 - Ticketmaster - Section 8 (Part 1) Real-Time Seat Map Synchronization (16:33)
31 - Ticketmaster - Section 8 (Part 2) Real-Time Seat Map Synchronization (11:24)
32 - Ticketmaster - Section 9 Search Service (OpenSearch) (17:47)
33 - Ticketmaster - Section 10 CDN Layer (21:10)

4 - Kafka Clone
37 - Kafka - Section 1a Intro & Workflow Demo (09:05)
38 - Kafka - Section 1b Setting Up the MySQL Database with Terraform (08:46)
39 - Kafka - Section 1c Spinning Up a Local Kafka Cluster with Docker Compose (06:38)
40 - Kafka - Section 1d Building the Order Service (Kafka Producer) (11:32)
41 - Kafka - Section 1e Building the Payment Service (Kafka Consumer & Producer) (11:22)
42 - Kafka - Section 1f Building the Notification Service (Kafka Consumer) (11:15)
43 - Kafka - Section 1g (Part 1) Full-Stack AWS Deployment with Terraform & Docker (13:07)
44 - Kafka - Section 1g (Part 2) Full-Stack AWS Deployment with Terraform & Docker (08:13)
45 - Kafka - Section 2a Initial Kafkaesque Implementation (09:56)
46 - Kafka - Section 2b (Part 1) Kafkaesque Producer API & E-Commerce App Migration (12:46)
47 - Kafka - Section 2b (Part 2) Kafkaesque Producer API & E-Commerce App Migration (03:33)
48 - Kafka - Section 2b (Part 3) Kafkaesque Producer API & E-Commerce App Migration (08:02)
49 - Kafka - Section 2c (Part 1) Kafkaesque Consumer API (15:06)
50 - Kafka - Section 2c (Part 2) Kafkaesque Consumer API (11:05)
51 - Kafka - Section 2c (Part 3) Kafkaesque Consumer API (13:35)
52 - Kafka - Section 3a Increase Partitions Per Topic to 2 (17:29)
53 - Kafka - Section 3b (Part 1) Increase Consumers Per Group to 2 (15:55)
54 - Kafka - Section 3b (Part 2) Increase Consumers Per Group to 2 (11:20)
55 - Kafka - Section 3c Increase Brokers to 2 (19:13)
56 - Kafka - Section 3d (Part 1) Increase Replication Factor to 2 (12:09)
57 - Kafka - Section 3d (Part 2) Increase Replication Factor to 2 (07:48)
58 - Kafka - Section 3e (Part 1) In Sync Replicas (ISR) + High Watermarks (HW) (12:43)
59 - Kafka - Section 3e (Part 2) In Sync Replicas (ISR) + High Watermarks (HW) (08:53)
60 - Kafka - Section 4a (Part 1) ZooKeeper Introduction + Controller Election (09:36)
61 - Kafka - Section 4a (Part 2) ZooKeeper Introduction + Controller Election (14:24)
62 - Kafka - Section 4b Controller Znode + Controller Watch (16:15)
63 - Kafka - Section 4c Persist Topic Registry in ZK + Topics Watch (17:26)
64 - Kafka - Section 4d Partition Assignments Cache, Znode & Watch (24:05)
65 - Kafka - Section 4e Peer Broker View + Bootstrap-Aware Replication (22:02)
66 - Kafka - Section 4f (Part 1) Request Proxies (21:41)
67 - Kafka - Section 4f (Part 2) Request Proxies (26:03)
68 - Kafka - Section 5a (Part 1) Upload Kafkaesque to PyPi (12:19)
69 - Kafka - Section 5a (Part 2) Upload Kafkaesque to PyPi (07:29)
70 - Kafka - Section 5b (Part 1) Final AWS Deployment with Terraform & Docker (15:26)
71 - Kafka - Section 5b (Part 2) Final AWS Deployment with Terraform & Docker (11:45)
[/spoiler]
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1920x1080, 16:9, 30fps, 983kbps
Аудио: AAC, 44.1Hz, 127kbps, stereo
[spoiler="Скриншоты"]

[/spoiler]