This article explains four common rate‑limiting algorithms—fixed‑window counter, sliding window, leaky bucket, and token bucket—detailing how each works, their pseudo‑code implementations, and when to use them to protect high‑traffic systems such as flash‑sale platforms.
This article provides a comprehensive overview of distributed file systems, covering their historical evolution, essential requirements, architectural models (centralized and decentralized), persistence strategies, scalability, high availability, performance optimization, security mechanisms, and additional considerations such as space allocation, file deletion, small‑file handling, and fingerprint‑based deduplication.
This article outlines the key characteristics of large‑scale websites and presents a comprehensive set of architectural goals, patterns, and techniques—including performance tuning, high availability, scalability, extensibility, security, and agile operations—to guide the design of robust, user‑centric online platforms.
This article explains why load balancing is essential for high‑traffic systems, describes its underlying principles and classifications from layer‑2 to layer‑7, outlines common software implementations, and presents typical scenarios such as scaling, high availability, and disaster recovery.
This article explains how to build private and hybrid cloud solutions, outlines essential technology stacks, discusses scalability, resource management, and storage options, and provides practical guidance on improving availability and handling errors in cloud systems.
This article outlines the progressive evolution of large-scale internet architectures, detailing the transition from simple monolithic designs through clustering, caching, read/write separation, static/dynamic separation, high‑availability clusters, distributed systems, SOA, microservices, and finally service mesh, highlighting their principles, benefits, and challenges.
This article explains 58.com’s database architecture, covering availability through replication and dual‑master setups, read‑performance enhancements with indexing, read replicas and caching, consistency solutions, rapid horizontal scaling methods, and a review of Codd’s twelve rules for relational design.
This article shares practical guidance on designing, protecting, and continuously improving high‑concurrency backend services—covering baseline capacity, rate limiting, data‑structure optimization, stateless architecture, and horizontal scaling—to help engineers evolve small systems into robust, production‑grade platforms.
This article explains the requirements for invitation codes, critiques simple random generation, and presents a custom base‑32 encoding method in Java that guarantees uniqueness, efficiency, and reversibility while allowing easy expansion.
This article outlines six fundamental microservice design patterns—Aggregator, Proxy, Chain, Branch, Data‑Sharing, and Asynchronous Messaging—explaining their structures, use‑cases, scalability characteristics, and potential pitfalls to help architects choose the right approach for their systems.
This article explains how to design data architecture for microservice systems, covering microservice fundamentals, advantages, decoupling, lightweight APIs, continuous delivery, database per service versus shared databases, polyglot persistence, scaling dimensions, sharding strategies, and why MongoDB is a suitable choice.
Meituan Delivery’s architecture has progressed from a rapid MVP with coarse services to a scalable, fine‑grained platform comprising fulfillment, operation, and master‑data subsystems, employing reliability engineering, capacity planning, AI‑driven simulation, and location services to ensure high availability, efficiency, and future‑ready scalability.
This article introduces Hadoop’s open‑source big‑data framework, explains its core components HDFS and MapReduce, and outlines four key advantages—ease of deployment, robustness, scalability, and simplicity—while also covering HBase as the Hadoop‑based column‑oriented database.
This article traces the step‑by‑step evolution of a web system—from a single‑server LAMP setup through service and data separation, caching, server clusters, read/write splitting, CDN acceleration, distributed databases, NoSQL integration, business splitting, and finally distributed services—highlighting the motivations, characteristics, and practical outcomes of each stage.
This article traces the progressive evolution of website architecture—from the early single‑server model through application‑data separation, caching, clustering, read‑write splitting, CDN deployment, distributed and NoSQL databases, and finally microservice architectures—illustrating each stage with diagrams and explaining the motivations behind each architectural upgrade.
This article explains why growing business complexity and throughput demands force system decoupling and architectural upgrades, then details practical approaches to system splitting—including horizontal scaling, vertical and business partitioning—and describes the subsequent structural evolution with caching, sharding, and micro‑service patterns.
This article explains the concept of distributed architecture, its key properties such as cohesion and transparency, various applications like distributed file systems, caches, databases, and services, and outlines the evolutionary stages from single‑server setups to modern micro‑service and cloud‑native designs.
The article shares Zhihu's multi‑year journey toward service‑oriented architecture, discussing the motivations, practical challenges, design trade‑offs, and lessons learned from microservice, RPC, and SSO‑based vertical splitting, as well as guidelines for defining service boundaries and layering.
The article reviews the ten‑year evolution of Ant Financial's message queue, detailing its core reliability, consistency, availability and performance requirements, the architectural mechanisms built to meet them, the shift to pull‑mode and API‑mode designs, and the recent integration of compute capabilities to create a smart data transmission platform.
This article explains the fundamentals of distributed systems, outlines common use cases such as distributed file systems, caches, databases, and web services, examines real‑world examples like MyCat, and traces the architectural evolution from single‑server setups to modern micro‑service clusters.
This article provides a comprehensive overview of performance testing, explaining its definition, key metrics such as throughput, response time and concurrent users, the relationship between these indicators, optimal testing timing, a step‑by‑step workflow from requirement analysis to reporting, and practical tips for effective load testing and system optimization.
To support Meituan’s rapid growth, this article examines the design and evolution of several industry-leading message-queue solutions—including Alibaba’s Notify and RocketMQ, Tencent’s Tube and Hippo, and Ctrip’s Herms—highlighting their reliability, scalability, and decoupling features, and extracting key insights for building robust MQ systems.
This article explains how WeChat redesigned its red‑packet system for the 2016 Chinese New Year, detailing the dual‑data‑center architecture, order and user data separation, caching layers, traffic routing, high‑concurrency controls, database sharding, and graceful degradation to handle tens of billions of requests per minute.
The Elasticsearch Team Development Constitution outlines a comprehensive set of principles and guidelines—covering design philosophy, code quality, interaction etiquette, and organizational responsibilities—to help the rapidly growing project evolve into a reliable, secure, scalable, and user‑friendly distributed search engine.
The article outlines the key characteristics of large-scale websites and traces their architectural evolution from single‑server setups to multi‑tier, cache‑enhanced, clustered, and distributed systems, highlighting strategies such as load balancing, database read/write separation, CDN usage, NoSQL adoption, and service‑oriented decomposition.
The article examines Ceph’s claimed infinite scalability, cost advantages, and operational stability from an SRE perspective, comparing it with centralized systems like HDFS, and reveals practical challenges such as expansion granularity, crushmap rebalancing, utilization limits, and maintenance overhead.
This article provides a comprehensive technical overview of large distributed website architecture, covering performance, high availability, scalability, security, and agility, and illustrates the evolution, design patterns, and practical optimization techniques for modern e‑commerce platforms.
The article outlines the four major stages of enterprise IT architecture—single‑machine, dual‑machine hot‑standby, multi‑node active‑active, and distributed architectures—explaining their motivations, advantages, limitations, and how businesses should choose the appropriate model based on performance, availability, and scalability requirements.
The article summarizes the author’s takeaways from the GIAC Shenzhen conference, analyzing various public‑chain projects, their architectural choices, competitive focuses such as scalability, asset tokenization, DApp support, and the role of alliance chains in finance, traceability, and anti‑counterfeiting.
This article traces the historical development of distributed architecture from early computers to modern large‑scale web systems, explains core concepts such as clustering, replication, and middleware, and outlines eight evolutionary stages that address scalability, reliability, and performance challenges.
JD.com’s review and share platform combines multi‑dimensional rating, text, image and video content with a modular middleware, MySQL/MongoDB/HBase storage, Solr search, Redis caching and a management backend, detailing its architecture, daily operations, component‑based design, scalability challenges and future enhancements.
This article explains microservices architecture, contrasting it with monolithic systems, outlines its core characteristics, communication patterns, advantages, disadvantages, design considerations, API importance, governance practices, fault‑tolerance strategies, container integration, and real‑world examples such as Netflix and Twitter.
This article outlines guiding principles, high‑availability strategies, and high‑concurrency techniques—covering stateless design, resource isolation, quota management, monitoring, degradation, rollback, and scaling—to help engineers build resilient, scalable systems while balancing cost and performance.
This article examines how to design a reliable group messaging system with read‑receipt support, comparing push and pull delivery, detailing data structures, acknowledgment flows, and optimization techniques to reduce traffic and storage while maintaining real‑time user experience.
This guide outlines the five essential architecture metrics—performance, availability, scalability, extensibility, and security—detailing practical optimization techniques for front‑end resources, server‑side caching, database tuning, load balancing, and security layers to build resilient, high‑performing web systems.
This article examines the evolution of a web crawler architecture across three versions, highlighting the importance of completeness, standardization with UML, clear goals, accuracy, and maintainability to build a scalable and cost‑effective backend system.
This article outlines how a .NET‑based system evolves from a single‑server deployment to a multi‑layered, load‑balanced, clustered architecture with database sharding, distributed file storage, caching, micro‑service communication, and cloud services to handle high traffic and massive data volumes.
The talk details Ele.me’s rapid growth from 300k to over 10 million daily orders, describing the challenges of high‑concurrency, multi‑active micro‑service architecture, IDC planning, database refactoring, disaster‑recovery, NOC operations, and the systematic processes that enabled stable, scalable delivery across two data centers.
This article examines the importance of high‑availability and disaster‑recovery architectures, tracing Alipay’s evolution from a simple load‑balanced setup through multi‑datacenter, failover, and unit‑based designs that address scalability, data consistency, and continuous service delivery challenges.
Facing rapid business growth, Dazhong Dianping’s payment gateway evolved through usable, flexible, and highly available stages, employing service splitting, master‑slave databases, fail‑fast mechanisms, and comprehensive monitoring to achieve 99.99% availability and handle peak traffic during major sales events.
This article summarizes the evolution stages, architectural patterns, and key concerns such as performance, scalability, extensibility, high availability, and distributed design that large‑scale websites must address, providing practical insights and visual diagrams for each concept.
This article explains the essence of software architecture as a process of reducing system entropy through splitting and merging, outlines the capabilities required of architects, and details the step‑by‑step evolution of large‑scale website infrastructures including caching, CDN, database sharding, and messaging systems.
This article explains the design and evolution of WeChat's high‑availability seqsvr service, which provides per‑user 64‑bit sequence numbers for data synchronization, handling trillions of requests with millisecond latency through pre‑allocation, section sharing, and layered storage architecture.
The article chronicles JD.com's product system evolution—from early SQL Server replication bottlenecks, through Redis‑based read services and full service‑oriented redesign with MySQL clustering, to a decoupled, multi‑layered platform that achieves high availability, scalability, and operational efficiency for billions of SKUs.
The article examines Tencent Cloud’s “Mi Master” payment platform, detailing its background, three‑tier system architecture, real‑time transaction consistency mechanisms, traffic‑scheduling strategies, scenario‑based stress testing, and multi‑dimensional risk‑control measures that together ensure high availability and security for large‑scale mobile payment services.
This article explores the concept of short URLs, their practical applications such as social media and QR codes, discusses various generation methods, presents algorithmic designs like incremental ID encoding and caching strategies, and provides a reference implementation for building a reliable URL shortening service.
Meituan Waimai handles ten‑million daily orders by evolving from a tiny monolithic prototype to a distributed, micro‑service‑based platform that uses sharded databases, caches, set‑based traffic partitioning, automated AIOps, dynamic container scaling, prioritized degradation switches, and AI‑driven features to sustain massive, growing traffic.
The article explains the concept of distributed architecture, its key characteristics such as cohesion and transparency, showcases how MySQL and middleware like Mycat are used in e‑commerce platforms, and outlines the evolution, practical implementations, and challenges of building scalable distributed database systems.
The article examines the 2018 outlook for enterprise blockchain, detailing performance, resilience, security, supportability, and integration challenges while outlining architectural principles, Hyperledger Fabric contributions, and the role of blockchain-as-a-service in moving from proof‑of‑concept to production deployments.
This article examines WhatsApp's high‑reliability architecture, detailing how a tiny team of 32 engineers leverages Erlang, FreeBSD, and custom BEAM patches to support hundreds of nodes, thousands of cores, and hundreds of terabytes of memory for over 450 million active users.
This article outlines essential distributed system concepts—including system decomposition, concurrency, caching strategies, online vs. offline processing, push/pull communication, load limiting, service degradation, CAP theorem, and eventual consistency—to help engineers design scalable, reliable architectures for high‑traffic applications.
This article examines core distributed system design principles—reliability, scalability, and maintainability—explaining how techniques such as replication, partitioning, consensus algorithms, and transactions address hardware, software, and human failures, and discusses vertical and horizontal scaling strategies to achieve robust, extensible, and maintainable architectures.
This article presents a comprehensive analysis of designing a high‑traffic railway ticketing platform, covering functional and non‑functional requirements, database sharding, cache strategies, locking mechanisms, and overall system architecture to handle peak loads such as Spring Festival travel.
This article explains practical techniques for designing high‑availability and scalable architectures across entry, business, cache, and database layers, helping developers handle rapid user growth without service interruptions.
This article walks through the step‑by‑step evolution of a Java website—from a single‑machine setup to a multi‑tier, load‑balanced, sharded, cached, and service‑oriented architecture capable of handling billions of requests—detailing the challenges and solutions at each stage.
The article outlines a step‑by‑step evolution of a web application from a single‑machine deployment to a fully distributed architecture, covering server separation, clustering, load‑balancing algorithms, session handling, read‑write splitting, search engine integration, caching, database sharding, service‑oriented decomposition, and message‑queue middleware.
This article explains the fundamentals of distributed architecture, outlines its main applications such as distributed file systems, caches, databases and services, reviews its evolutionary stages from single‑server to clustered and cloud‑native designs, and discusses common operational challenges.
The article presents Hermes, Meituan’s O2O performance management platform for travel, detailing its six‑module, four‑engine architecture—including data, incentive, rule, calculation, and scheduling engines—while highlighting technical innovations such as two‑level caching, work‑stealing producer‑consumer processing, Map‑Reduce‑style calculations, and future AI‑driven enhancements.
The article explains how Alibaba’s TMF 2.0 framework tackles massive transaction‑peak challenges by introducing visual, configurable, and manageable business definitions through a plug‑in architecture, unified business identity, and a clear separation of management and runtime domains.
This article outlines ten fundamental architecture patterns for high‑traffic websites—including layering, partitioning, distribution, clustering, caching, asynchronous processing, redundancy, automation, and security—explaining their goals, benefits, challenges, and best‑practice constraints to help engineers build scalable, reliable, and maintainable systems.
Serverless computing, the latest cloud paradigm merging microservices and serverless architectures, evolves from on‑premise monoliths through SOA and containers, offering rapid deployment, cost efficiency, and scalability, while also presenting challenges such as vendor lock‑in, complexity, limited long‑running tasks, and security considerations.
This article explores the defining traits of large‑scale websites and walks through the step‑by‑step evolution of their architecture—from single‑server setups to distributed systems with caching, load balancing, database sharding, and micro‑services—while highlighting common design pitfalls and best‑practice recommendations.
This article explains why monolithic applications become unmanageable as they grow, outlines the advantages of breaking them into independent microservices, and discusses the architectural, operational, and testing challenges that accompany a microservice‑based design.
This article explores how to design a high‑performance, highly available, and scalable e‑commerce platform by separating business and technical architectures, detailing subsystem decomposition, scaling strategies, and the evolution from simple single‑server setups to distributed, clustered solutions.
Monolithic architecture, built as a single deployable unit, offers rapid development, simple deployment, and easy scaling via load balancers, but as applications grow, it introduces codebase complexity, slower IDEs, deployment challenges, limited scalability, and technology lock‑in, prompting many teams to consider microservices.
This article surveys the technical architectures of major web platforms—including Wikipedia, Facebook, Yahoo! Mail, Twitter, Google App Engine, Amazon, and Youku—highlighting their design patterns, scaling techniques, storage solutions, and caching strategies to reveal how massive online services are built and operated.
Veteran Tencent operations leader Zhao Jianchun recounts a decade of managing 100,000 servers, detailing the L5 fault‑tolerant system, unified framework, resource packaging, CMDB virtual imaging, and an automated deployment platform that together cut daily incidents by up to 90% and boosted efficiency tenfold.
This article summarizes the origins, core principles, typical evolution stages, and common toolkits of large website architecture, highlighting how network growth, performance demands, and scalability challenges drive the adoption of caching, load balancing, database sharding, CDNs, and distributed services.
This article outlines practical strategies for building and scaling web applications—covering caching, static page generation, database optimization, read/write separation, NoSQL, Hadoop, distributed deployment, service separation, and CDN—to handle massive data volumes and high‑traffic loads efficiently.
This article details the business scope, challenges, architectural evolution, and practical solutions of Suning's inventory system—including front‑mid‑back separation, self‑developed high‑concurrency services, unitization, multi‑active deployment, and pre‑Double 11 capacity planning—to ensure stable, scalable e‑commerce operations during massive traffic spikes.
This article explains the CQRS (Command Query Responsibility Segregation) and Event Sourcing patterns, outlines their benefits such as clearer logic, stability, and scalability, and discusses practical goals like separating core business logic, using pure functions, and achieving easier testing and horizontal expansion, while warning of added complexity.
Facebook’s journey from early startup ops to supporting over 2 billion monthly users reveals how disaggregated network, storage, and warm‑storage‑enabled Spark architectures overcome scalability bottlenecks, illustrating the operational strategies and design principles that power massive, reliable data‑center services.
Alibaba's R&D efficiency team explains how intelligent operations—spanning resource planning, change management, monitoring, stability, and one‑click site building—are being transformed from manual tooling to automated, AI‑driven DevOps practices to boost efficiency, cut costs, and ensure high availability at massive scale.
The article outlines core guiding principles, high‑availability strategies, and high‑concurrency techniques—such as stateless design, replica and isolation, quota control, monitoring, degradation, rollback, and scaling—to help engineers build resilient, scalable web architectures for massive traffic.
This article explains how Tencent's ZhiYun full‑link log monitoring platform handles massive daily logs, overcomes challenges of diverse log formats, high throughput, fault‑tolerant design, and provides scalable storage, query, and alerting capabilities for distributed micro‑service environments.
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.
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.
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.
The article details Suning’s decade‑long evolution of its membership platform for the Double‑11 shopping festival, covering early offline CS architecture, the transition to a WebSphere‑based e‑commerce system, vertical module splitting, data migration with Spark and Hive, and the implementation of same‑city multi‑active deployment.
The article examines Alibaba's operations team responsibilities, traces its evolution from scripting tools to automated and AI‑enhanced practices, outlines a five‑step intelligent‑ops roadmap, and discusses the major technical and organizational challenges facing future large‑scale, unmanned operations.
The article explains how JD’s senior architect prepares for the 11.11 shopping festival by defining high‑availability goals, discussing scalability strategies, disaster‑recovery planning, performance optimization, and system resilience to ensure reliable service under massive traffic spikes.
This article explains why Xiaomi built Pegasus to replace HBase, describes its architecture—including MetaServer, ReplicaServer, partitioning, multi‑replica design and the PacificA consensus algorithm—covers implementation challenges such as load balancing, consistency, latency, testing, and outlines current status and future plans.
This article explains why high availability is critical for internet services, outlines key techniques such as stateless design, service discovery, heartbeat checks, idempotent operations, load balancing, throttling, caching, and micro‑service architecture, and discusses the operational challenges and monitoring tools needed to maintain resilient, scalable systems.
The article discusses how to achieve high availability for large‑scale internet services by adopting stateless architecture, service discovery and registration, heartbeat monitoring, idempotent design, retry mechanisms, rate limiting, caching, and micro‑service decomposition to handle machine failures, network glitches, and high concurrency.
This article outlines essential principles for designing high‑concurrency and high‑availability systems, covering stateless architecture, service decomposition, caching strategies, message queues, data heterogeneity, degradation, rate limiting, traffic switching, rollback, and comprehensive business design rules such as idempotency, anti‑duplication, and documentation.
This article outlines essential high‑concurrency and high‑availability principles—including stateless design, service decomposition, caching strategies, message queues, data heterogeneity, degradation, rate limiting, traffic switching, and rollback mechanisms—to help architects build scalable, reliable, and resilient systems.
This article outlines Taobao's learning objectives, traces the evolution of its backend architecture from V1.0 to V3.0, highlights the technical challenges faced at each stage, and explains the architectural decisions—such as modularization, service‑oriented frameworks, distributed storage, and large‑scale monitoring—that enabled massive scalability, reliability, and performance improvements.
This article explores the principles and components of large‑scale internet architecture, covering goals such as low cost, high performance, availability and scalability, and detailing practical implementations of DNS, CDN, load balancing, web services, caching, proxies, indexing, and queueing to build robust, efficient systems.
This article details the evolution of Wonder, 360’s internal monitoring platform built on Open‑Falcon, covering its architecture, key features, large‑scale deployment, data collection, alerting mechanisms, custom plugins, and future development plans for smarter, more flexible operations.
This article describes the design and implementation of a five‑layer one‑stop fund processing platform, covering architecture, rapid business support, hotspot data handling, storage optimization, and query improvements, including sharding, asynchronous processing, and dynamic data source strategies to ensure scalability and reliability.
This article explains the evolution of microservices, their architectural concepts, advantages such as smaller size, faster delivery, stronger resilience, and how they relate to cloud, DevOps, and operational practices, providing a solid foundation for building and evaluating microservice applications.
This article explains the concept of scalability for web interactive systems, distinguishes platform and module scalability, and demonstrates how Aspect‑Oriented Programming can be used to create flexible, maintainable platform adaptations with concrete NEJ framework examples.
This article presents a step‑by‑step operations‑focused roadmap for evolving a website from a single‑server prototype to a highly available, horizontally scalable architecture using load balancing, caching, database replication, service‑oriented design, DNS round‑robin, CDN, and disaster‑recovery techniques.
Facebook’s architecture, built on a LAMP‑style foundation yet vastly scaled, relies on technologies such as Memcached, HipHop for PHP, Haystack, BigPipe, Cassandra, Scribe, Hadoop, Hive, Thrift, and Varnish, alongside progressive deployment strategies like Gatekeeper, to handle billions of daily requests and petabytes of data.
The article explains that software architects focus first on server environment, concurrency, security, and quality attributes rather than UI layout, outlining key functional and non‑functional concerns, evaluation methods, and scaling strategies for systems such as MMOs.
The article outlines essential software architecture concerns—including functionality, variability, performance, capacity, ecosystem integration, modularity, buildability, productization, and security—while also discussing evaluation methods and scaling strategies for large‑scale systems such as MMOs.
This article presents a comprehensive design for a high‑traffic insurance O2O platform, detailing functional requirements, system analysis, storage and caching strategies, logical and service architectures, distributed transaction handling, and the chosen development stack, emphasizing simplicity, scalability, and high concurrency.
This article traces Alibaba's e‑commerce platform evolution from a simple LAMP stack through Java migration, distributed caching, custom middleware, and multi‑active global deployment, highlighting the technical challenges, solutions like HSF RPC, TDDL sharding, and the high‑availability practices that now power Alibaba Cloud services.
This article presents a comprehensive overview of Vipshop's message gateway redesign, covering its architectural positioning, internal modules, technical stack, monitoring, degradation strategies, and practical lessons learned to handle massive messaging traffic in a large‑scale e‑commerce environment.
The article explains how to build a highly scalable large‑website architecture by adopting modularization, reducing coupling through distributed message queues and services, and exposing functionality via an open platform, covering core concepts, typical implementations like ActiveMQ and Dubbo, and essential design considerations.
