Analysis updated 2026-05-18
Study how Alibaba, Google, and Amazon structure their backend systems and databases.
Reference architecture patterns when designing your own large-scale web application.
Learn from real-world case studies of how major companies handle scaling, caching, and distributed systems.
| davideuler/architecture.of.internet-product | rough-stuff/rough | fengdu78/deeplearning_ai_books | |
|---|---|---|---|
| Stars | 20,744 | 20,943 | 20,539 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 2/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
This repository is a curated collection of technical architecture documents from major internet companies. The project gathers architecture materials organized in two ways: numbered directories containing internet company architecture documents, and alphabetically organized directories covering architecture topics by theme. Companies referenced in the description include WeChat, Taobao, Weibo, Tencent, Alibaba, Meituan-Dianping, Baidu, OpenAI, Google, Facebook, Amazon, and eBay. The topics tag includes references to ChatGPT, GPT-4, DALL-E 3, and broader internet architecture guidelines. The repository welcomes community contributions via Pull Requests, inviting submissions of architecture introduction slides, PDFs, or web links that cover classic technical architectures. Related companion repositories are linked covering WeChat and Tencent architecture, Taobao and Alibaba architecture, and Meituan-Dianping architecture specifically. Open source project collections from Tencent, Alibaba, Meituan-Dianping, Baidu, and Qihoo 360 are also referenced. The project has over 20,000 stars, reflecting its popularity as a reference resource for people studying how large internet companies structure their technical systems.
A curated collection of technical architecture documents from major internet companies like Google, Amazon, Alibaba, and Tencent, organized by company and topic for learning how large-scale systems are built.
Mainly HTML. The stack also includes HTML, Markdown.
License could not be detected automatically. Check the repository's LICENSE file before use.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.