Introductions to large-scale distributed system architectures; insights and knowledge sharing on large-scale internet system architecture; front-end web architecture overviews; practical tips and experiences with PHP, JavaScript, Erlang, C/C++ and other languages in large-scale internet system development.
The article explains that traditional CDNs deliver limited performance gains for mobile users because the dominant last‑mile latency of wireless networks overshadows CDN benefits, and it explores data, misconceptions, cost considerations, and possible strategies for improving mobile content delivery.
This article examines the objectives, technical challenges, and evolutionary steps of large‑scale website architecture, covering resource separation, caching mechanisms, high‑availability techniques, CDN and distributed storage, as well as foundational design principles such as ACID/BASE and the CAP theorem.
This article explains how startup engineers can design and evolve a scalable web architecture—covering server partitioning, load balancing, distributed caching, database replication, and team organization—to handle rapid user growth without compromising performance or reliability.
This article provides a concise overview of several open‑source real‑time stream processing platforms—including S4, Storm, StreamBase, HStreaming, Esper/NEsper, Kafka, Scribe, and Flume—highlighting their primary features, programming languages, and project links for future technical research.
The article explains what HTTP and DNS hijacking are, illustrates real‑world examples, analyzes root causes such as ad injection and ISP caching, describes the resulting harms, and presents practical anti‑hijack techniques including data validation, HttpDNS, and logging strategies.
This article explains how HTTP/2 server push works, why it improves page load performance, and provides practical Node‑SPDY code examples for pushing assets, redirects, cache‑validation messages, and integrating Server‑Sent Events to notify clients of pushed resources.
This article explains the Pull mode of Pushlets, detailing its protocol steps, server-side session and queue management, client interactions, key configuration parameters, and the encapsulation of Pushlets into a Channel service for scalable backend message pushing.
This guide explains how to raise Linux user‑process file descriptor limits, adjust kernel TCP parameters, and use efficient I/O mechanisms such as epoll or AIO to support thousands of simultaneous TCP connections for high‑concurrency network programs.
This article describes how to configure and benchmark an Nginx‑based comet server to sustain two million simultaneous long‑lived connections by analyzing resource bottlenecks, tuning kernel parameters, adjusting file descriptor limits, and scaling client machines.
This article analyzes how APIs create commercial opportunities, explains the criteria of practicality and usability, examines case studies such as Amazon and Twilio, and provides a step‑by‑step guide for designing APIs that deliver accurate, accessible data and drive business growth.
