LVS (Linux Virtual Server) is a core kernel module for load balancing that forwards client requests to backend servers using three main mechanisms—Network Address Translation (NAT), IP tunneling (TUN), and Direct Routing (DR)—each with distinct packet handling and performance characteristics.
This article reviews various web real‑time message push techniques—including polling, long‑polling, iframe streaming, socket plugins, and WebSocket—evaluates their pros and cons, and explains why the author selected the Comet approach implemented with the Python Tornado framework for a web push system.
This article examines server‑push technologies such as Comet, comparing plugin‑based socket approaches with HTTP long‑connection methods like AJAX long‑polling and iframe/htmlfile streaming, and provides practical guidance on building robust Comet applications using frameworks such as Pushlet.
The article explains how JD.com designed and deployed a multi‑center transaction architecture, using a high‑performance data bus and strict consistency and routing controls, to handle the massive traffic spikes of the 11.11 e‑commerce event while ensuring scalability and disaster recovery.
This guide explains how to extract Zabbix graphs using screenid and graphid, download them via Python, store them temporarily, and attach the images to email reports for efficient database server monitoring.
This article explains why Map does not extend Collection, compares HashMap with Hashtable, clarifies Comparable versus Comparator, shows how to sort object lists, distinguishes fail‑fast from fail‑safe iterators, and outlines key differences among Set, List, ArrayList, Vector, and related Java collection classes.
The article explains that Redis’s default public binding and lack of authentication allow attackers to read data, execute code, and write their SSH public key into /root/.ssh/authorized_keys, providing a complete guide to exploitation, statistical impact, PoC code, and practical mitigation measures.
This article explores the challenges of real‑time HTML and inline JS/CSS minification with html‑minifier in Node.js, including CPU‑spike bugs caused by malformed HTML, workarounds using the vm module with timeouts, performance optimizations, and future directions for faster, stable compression.
This article explains how MySQL versions up to 5.5 process and optimize views, outlines the exact conditions required for view merge rewriting, compares derived table handling with the SQL standard, and provides concrete test cases to illustrate performance pitfalls.
This guide explains practical techniques for spotting basic memory leaks, using the MAT tool to analyze heap dumps, comparing hprof files, and implementing daily leak monitoring in Android apps through AspectJ instrumentation, MLD utilities, and UIAutomator automation.
This article explains Android Wear's communication APIs, health data handling, notification integration, UI adaptation for round and rectangular watches, and performance tips, providing developers with practical guidance to build efficient and user‑friendly Wear apps.
JD.com’s senior engineers detail how a combination of massive Docker‑based cloud migration, multi‑center transaction architecture, intensive 60‑second recovery drills, and AI‑driven personalization via the JD Brain enabled the platform to handle the unprecedented traffic and data demands of the 11.11 shopping festival.
Suning’s technical team shares how they prepared for Double‑11 by splitting monolithic services into focused modules, building a robust foundational platform with cloud, middleware, and monitoring tools, refining R&D processes, and implementing comprehensive load‑testing, optimization, and emergency response plans to ensure system stability under massive traffic.
This article examines how leading Chinese e‑commerce platforms such as Dangdang, Suning, Mogujie, and Vipshop redesign their backend systems, adopt decoupling, caching, scaling, and monitoring techniques to handle the massive traffic spikes of the Double‑11 shopping festival.
This article details how Mogujie's private cloud platform, built on OpenStack, Docker, and KVM, was engineered and optimized to handle the massive traffic of the 11.11 shopping festival, covering architectural choices, stability measures, monitoring, disaster recovery, performance tuning, and integration with existing operations systems.
This article explains how Vipshop’s flash‑sale platform handles massive traffic spikes by redesigning system modules, adopting service‑oriented architecture, implementing async processing, multi‑stage caching, database optimizations, and comprehensive monitoring to ensure stability and scalability.
This article explains how the browser’s UI thread manages a task queue to sequentially process UI‑update operations, illustrated with a button‑click example that creates multiple tasks and demonstrates the thread’s idle‑time processing of queued updates.
This article explains a high‑severity Redis unauthorized‑access vulnerability that can let attackers write SSH keys to the host, highlights the risk of exposing Redis to the Internet without authentication, and provides guidance on remediation and network protection.
This article explores how operations managers can define their positioning, adopt multiple leadership roles, and implement effective performance management practices—including clear goal setting, task allocation, coaching, and systematic review—to boost team efficiency and stability.
This article analyzes mobile search design by examining why users search, the various search purposes, optimal placement of search UI elements, dynamic transformations of the search box during use, and effective ways to present results, including handling empty results and progressive recommendations.
