This guide walks you through creating a lightweight Node.js web crawler using the request and cheerio modules, covering preparation, installation, core code, and testing steps, so you can fetch page HTML, parse data, and store results with just a few dozen lines of code.
This article explains how LINE Manga uses a custom Page Stack architecture, inspired by iOS UINavigationController, to deliver native‑like, smooth page transitions in a web environment, addressing back‑button latency, scroll restoration, and lazy‑load image issues with practical React/React‑Router examples.
This article describes how Ctrip's risk control system stores static IP location data in memory, transforms it into a red‑black tree for fast lookup, and outlines the data conversion process from database JSON to compact in‑memory structures, achieving high concurrency and low latency.
The article presents Ping An Bank's AI-driven data platform, covering business background, architectural layers, algorithmic applications such as customer segmentation, portrait, business forecasting, and graph analysis, and shares practical insights on platform design, model deployment, and the role of data product managers.
The article thoroughly examines MyBatis’s first‑level (session) and second‑level (namespace) caches, detailing their configurations, internal workflows, source‑code implementations, experimental behaviors, common pitfalls such as stale or dirty data, and advises disabling built‑in caching in favor of dedicated solutions for production.
The article outlines Meituan Travel’s overseas performance‑optimization strategy, detailing network enhancements such as HttpDNS, CDN nodes and long‑connection proxies, frontend tactics like CDN‑served static HTML, adaptive images and server‑side rendering, backend improvements including SSD upgrades, caching, serviceization and async I/O, and a dual‑region architecture that together boost load speed, reliability and scalability.
This article explains the basic concepts of static and dynamic web resources, describes common web servers and development technologies, and provides a step‑by‑step guide to installing, configuring, and troubleshooting Tomcat for JavaWeb applications.
The article chronicles JD.com’s middle‑platform R&D PMO from its 2012 founding through phases of following, driving, and leading, detailing team growth, agile scaling challenges, PMI China collaboration, performance models, award wins, and strategic goals for 2018.
This article explains why Android UI lag hurts user experience, reviews traditional adb‑based detection methods, introduces a new in‑app monitoring system that leverages Looper log matching and Choreographer.FrameCallback to capture precise stack traces, and describes its implementation, performance impact, data processing pipeline, and real‑world results.
This comprehensive guide introduces Rax—a lightweight, cross‑container JavaScript framework from Alibaba—covers its core concepts, JSX syntax, component lifecycle, event handling, drivers, framework APIs, development tools, debugging, deployment best practices, and provides practical code examples for beginners and experienced developers alike.
This article explains how React Native handles network requests differently from web browsers, describes the built‑in fetch, XMLHttpRequest, and WebSocket APIs, outlines debugging methods using proxies, Reactotron, and Chrome DevTools, and discusses strategies for sending binary data such as Base64 encoding and WebSocket support.
This article outlines the challenges of modern IT operations, explains why traditional methods fall short, and presents a detailed AIOps roadmap—including anomaly detection, localization, root‑cause analysis, and prediction—drawn from Professor Pei Dan’s research and real‑world examples.
This article explains Pandora.js's Service mechanism—a high-level process orchestration feature for Alibaba's Node.js applications—detailing its role in middleware management, standardized service lifecycles, isolated tasks, and an Etcd‑based service discovery example.
This article uses realistic Hulu business scenarios to illustrate the pitfalls of relying solely on accuracy, precision, recall, RMSE, and other single metrics, and explains how combining complementary evaluation measures such as average accuracy, precision‑recall curves, ROC, F1‑score, and MAPE can provide a more comprehensive assessment of classification, ranking, and regression models.
This article describes a tourism recommendation system that addresses data sparsity, seasonality, and geographic variations by using an offline‑online architecture, GBDT+LR CTR prediction, exponential decay scoring, and extensive feature engineering, achieving a 1.6% conversion‑rate increase and high accuracy and recall.
The case study details Donghua Software’s smart flood‑control and drainage solution, which integrates IoT sensors, NB‑IoT/eLTE networks, Huawei’s FusionSphere cloud platform, big‑data analytics, and GIS to provide real‑time monitoring, predictive warnings, automated gate control, and efficient emergency dispatch for urban water management.
The cw2vec paper, presented at AAAI 2018, introduces a Chinese word embedding method that leverages stroke n‑grams to capture character semantics, proposes a novel loss function, demonstrates consistent improvements over existing models across similarity, analogy, classification and NER tasks, and discusses real‑world AI applications.
This article explains how WeChat’s security team builds a scalable anomaly‑detection framework that partitions billions of user accounts, weights suspicious attributes, computes similarity graphs, and leverages Spark optimizations and graph‑partitioning techniques to efficiently identify malicious user clusters.
The article explains that Windows often slows down due to accumulated service entries, registry I/O, and micro‑kernel design that loads many sys files at boot, whereas Linux’s monolithic kernel and fewer services keep its performance more stable over long use.
This guide walks through enabling MySQL binlog, installing Logtail, configuring data collection, indexing, previewing logs, writing custom SQL queries for user login analysis, constructing real‑time dashboards, setting abnormal‑login alerts, and backing up data to OSS for long‑term storage.
