This article explains the iOS Drag & Drop interaction model, covering its core concepts, system integration, multi‑touch features, and step‑by‑step implementation using UIKit APIs such as UIDragInteraction, UIDropInteraction, and NSItemProvider with Swift code examples.
This article examines whether points from two linearly separable classes remain separable after being projected onto the SVM decision hyperplane, providing geometric and convex‑optimization proofs along with illustrative diagrams and references for deeper study.
This article details JD.com's multi-active distributed architecture, covering its evolution from single‑data‑center to multi‑region deployments, network design, leaf‑spine topology, data consistency mechanisms, application scheduling, monitoring, and disaster recovery strategies that enhance high availability and user experience.
This article explains how Cloud TiDB, a cloud‑native NewSQL database launched by UCloud and PingCAP, leverages Kubernetes integration, operators, and custom volume management to provide elastic scaling, high availability, and efficient lifecycle management for distributed workloads.
The article details JD.com’s large‑scale, automated server operating‑system deployment process for the 11.11 shopping festival, describing the challenges of tight timelines, massive equipment volumes, the development of an automated deployment platform, and the operational improvements achieved through process optimization and 24/7 support.
Alibaba’s Dragonfly P2P file distribution platform, built to handle massive file and container image delivery during peak events like Double‑11, combines peer‑to‑peer networking, smart compression, flow‑control and security features to achieve billions of transfers, petabyte‑scale traffic, and up to 99.9% reduction in registry outbound bandwidth.
Alibaba’s Dragonfly (蜻蜓) is a self‑developed P2P file distribution platform that dramatically speeds up massive file and container image delivery, reduces bandwidth consumption, supports intelligent compression and flow control, and has become a core infrastructure component powering billions of transactions during major events like Double 11.
The article details the Jingmai Message Center’s end‑to‑end architecture, covering message ingestion via Anycall and MQ, protocol conversion, Netty‑based push system, Snowflake ID generation, Elasticsearch storage, multi‑level caching, distributed locking, and the overall design principles that enable a scalable, reliable messaging platform.
The article uses everyday observations from a McDonald’s restaurant to illustrate core distributed system concepts such as master‑slave architecture, two‑phase commit, microservice decomposition, task queues, and container orchestration, showing how these principles apply to backend engineering.
Alibaba’s Dragonfly (蜻蜓) leverages P2P networking, intelligent compression, and flow control to dramatically accelerate large‑scale file and container image distribution, reducing bandwidth usage by over 99%, achieving up to 57× speedup, and supporting tens of thousands of concurrent hosts during peak events like Double 11.
Over nearly two years, the author chronicles the transition of their development team from using TFS 2010 and manual processes to adopting Git, automated build and release pipelines, QA branch workflows, and Release Management in TFS 2015 Update 2, highlighting the resulting improvements in collaboration, deployment speed, and overall DevOps maturity.
This article evaluates MongoDB and MySQL for storing and querying large‑scale precious‑metal market data, detailing hardware setup, version configurations, schema designs, and extensive performance benchmarks across million‑ to billion‑record datasets, and concludes with analysis of memory architectures, data models, and suitable application scenarios.
This article explains the design, table schema, indexing workflow, and query processing of a distributed full‑text search system that stores documents and token information separately in a distributed database, improving scalability and performance over traditional Lucene‑based solutions.
This article explains the inner workings of ThreadLocal, the relationships among Thread, ThreadLocalMap, Entry, and various reference types, demonstrates how weak references behave during garbage collection, and shows practical code examples and reference‑queue usage to avoid memory‑leak pitfalls.
Learn how early monolithic websites evolve into distributed architectures by splitting applications, services, and data, implementing load balancers, reverse proxies, caching, CDN, database sharding, and security measures, while focusing on performance, high availability, scalability, and extensibility for robust, high‑traffic sites.
Tencent's cloud editing system transforms live‑stream post‑production by ingesting parallel low‑ and high‑bitrate streams, enabling real‑time, frame‑precise cuts, fuzzy seeking, and WYSIWYG effects via HLS and NPAPI, while eliminating traditional VOD transcoding delays and paving the way toward a full‑featured online editing platform.
This article explains the Singleton design pattern in Java, covering its definition, lazy and eager implementations, thread‑safety issues such as double‑checked locking and volatile, and alternative approaches like static inner classes and enums, providing code examples and practical insights.
This article examines Suning's evolution of its membership platform—from an early offline POS system to a vertically split, cloud‑native architecture—detailing capacity planning, performance testing, data migration with Spark, multi‑active deployment, and future plans for cross‑region high availability.
Scrapy is a fast, high‑level Python framework for web crawling and data extraction, featuring an asynchronous Twisted engine, modular components like spiders, pipelines, and middlewares, and includes detailed installation steps, project setup, spider creation, query syntax, recursion, and item pipelines for robust scraping.
The 2017 Double‑11 festival shattered records with 168.2 billion yuan in sales, and Alibaba Cloud’s VPC, load‑balancing SLB, NAT gateway, and high‑speed hybrid‑cloud network together ensured the massive traffic and payment spikes ran smoothly for millions of shoppers.
