- The Global Netflix Platform
- Keeping Movies Running Amid Thunderstorms!
- Patterns for Continuous Delivery, High Availability, DevOps & Cloud Native Open Source with NetflixOSS
- Quick Deploy: a distributed systems approach to developer productivity
- The Log: What every software engineer should know about real-time data's unifying abstraction
- Building a terabyte-scale data cycle at LinkedIn with Hadoop and Project Voldemort
- A Brief History of Scaling LinkedIn
- Using Redis at Pinterest for Billions of Relationships
- Building a follower model from scratch
- LinkedIn Data Infrastructure
- Lessons Learned While Building Infrastructure Software at Google
- Achieving Rapid Response Times in Large Online Services
- How We Made Github Fast
- How we keep Github fast
- Analyzing Millions of GitHub Commits: what makes developers happy, angry, and everything in between?
- How to build a github
- Scaling GitHub
- Scaling the World's Largest Django App
- Scaling Django to 8 Billion Page Views
- HTTP for Great Good
- Caching is Hard: Varnish @ Disqus
- Trying out this Go thing…
- Scaling Realtime at DISQUS , How Disqus Went Realtime with 165K Messages Per Second and Less than .2 Seconds Latency
- Billions of Hits: Scaling Twitter
- Twitter网站架构学习笔记
- How Twitter Uses Redis To Scale - 105TB RAM, 39MM QPS, 10,000+ Instances
- Tumblr Architecture - 15 Billion Page Views A Month And Harder To Scale Than Twitter
- Tumblr: Hashing Your Way To Handling 23,000 Blog Requests Per Second
- Stack Overflow Network Configuration
- The Architecture of StackOverflow
- StackOverflow Update: 560M Pageviews A Month, 25 Servers, And It's All About Performance
- Reddit: Lessons Learned From Mistakes Made Scaling To 1 Billion Pageviews A Month
- Reddit月浏览量从百万扩容到十亿的陷阱和教训
- Travis CI - The Smallest Distributed System
- scaling-database-with-django-and-haproxy
- Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day
- 分享D瓜哥最近攒的资料（架构方面）
- Shelly Cloud: Life of an HTTP Request , Architecture
- 高性能图片服务器浅谈
- 系统架构领域的一些学习材料
- 系统设计黄金法则：简单之美
- Scalability lessons from Google, YouTube, Twitter, Amazon, eBay, Facebook and Instagram
- 4 Architecture Issues When Scaling Web Applications: Bottlenecks, Database, CPU, IO
- Bitly: Lessons Learned Building A Distributed System That Handles 6 Billion Clicks A Month
- 97 Things Every Software Architect Should Know
- How Uber Scales Their Real-Time Market Platform
- Service Principles
- 实施微服务，我们需要哪些基础框架？ ***