What is this?
This is a curated Chinese-language collection of real-world technical architecture documents from major internet companies — WeChat/Tencent, Taobao/Alibaba, Meituan-Dianping, Baidu, Qihoo 360, and global players like OpenAI, Google, Facebook, Amazon and eBay.
This is a curated Chinese-language collection of real-world technical architecture documents from major internet companies — WeChat/Tencent, Taobao/Alibaba, Meituan-Dianping, Baidu, Qihoo 360, and global players like OpenAI, Google, Facebook, Amazon and eBay.Is this a single document or an index of links?It's an index, not a book: numbered folders hold architecture write-ups for a specific company, while lettered folders (A, B, C, D...) group documents by topic instead of by company.
It's an index, not a book: numbered folders hold architecture write-ups for a specific company, while lettered folders (A, B, C, D...) group documents by topic instead of by company.Where should a beginner start?Start with the 'classic internet tech architecture' section, or jump straight into a specific company's folder (e.g., WeChat/Tencent, Taobao/Alibaba, Meituan-Dianping) matching the system you want to study.
Start with the 'classic internet tech architecture' section, or jump straight into a specific company's folder (e.g., WeChat/Tencent, Taobao/Alibaba, Meituan-Dianping) matching the system you want to study.Are the entries vetted, or is this open to any submission?Entries aren't formally reviewed — anyone can open a Pull Request or GitHub Issue linking a slide deck, PDF or article they personally consider a solid architecture writeup.
Entries aren't formally reviewed — anyone can open a Pull Request or GitHub Issue linking a slide deck, PDF or article they personally consider a solid architecture writeup.Who is this list meant for?It's aimed at backend engineers and system architects researching how large-scale production systems are actually built, from classic Chinese internet platforms to modern AI companies.
It's aimed at backend engineers and system architects researching how large-scale production systems are actually built, from classic Chinese internet platforms to modern AI companies.Which companies' architectures are included?Domestic coverage includes WeChat/Tencent, Taobao/Alibaba, Meituan-Dianping, Baidu and Qihoo 360 open-source projects, alongside global firms such as OpenAI, Google, Facebook, Amazon and eBay.
Domestic coverage includes WeChat/Tencent, Taobao/Alibaba, Meituan-Dianping, Baidu and Qihoo 360 open-source projects, alongside global firms such as OpenAI, Google, Facebook, Amazon and eBay.Is this one authored book or a collection of slides and PDFs?It's a collection of links to architecture PPTs, PDFs and articles pulled from tech conferences and company engineering blogs, not a single authored book.
It's a collection of links to architecture PPTs, PDFs and articles pulled from tech conferences and company engineering blogs, not a single authored book.What companion resource does the author suggest?The README points readers to '后端架构师技术图谱' (Backend Architect's Technology Map) and to materials from Chinese tech conferences like QCon as further reading.
The README points readers to '后端架构师技术图谱' (Backend Architect's Technology Map) and to materials from Chinese tech conferences like QCon as further reading.What are similar projects?awesome-design-patterns, awesome-chatgpt-zh, awesome-ddd, system-design-resources, from_coder_to_expert, system-design, architect-awesome, awesome-scalability
awesome-design-patterns, awesome-chatgpt-zh, awesome-ddd, system-design-resources, from_coder_to_expert, system-design, architect-awesome, awesome-scalabilityWhich topics is it in?gpt-4, high-availability, scalability, big-data, system-design, architecture, gpt, microservices, chatgpt, book, distributed-systems, learning-resources
gpt-4, high-availability, scalability, big-data, system-design, architecture, gpt, microservices, chatgpt, book, distributed-systems, learning-resources