The article explains Conway’s Law and its four derived principles, showing how communication structures shape system design, why small teams reduce complexity, how agile and micro‑service approaches address time and scalability constraints, and why architecture decisions are inherently political.
Facing tangled microservice calls and heavy front‑end data stitching, Fangdd’s engineering team evolved from monolithic PHP to a multi‑layered microservice architecture, introducing Duo‑GraphQL to unify data via GraphQL providers, a BFF layer, and optimized engine, dramatically improving development speed and performance.
The article explains cloud native concepts, detailing its key characteristics, four foundational pillars, organizational practices, architectural patterns, essential tooling, and operational responsibilities that enable agile, scalable, and highly available applications built on cloud infrastructure.
This article traces the evolution of enterprise distributed application architectures—from early SOA through microservices to modern cloud‑native and service‑mesh designs—explaining the underlying complexity challenges, architectural principles, and the trade‑offs that shape today’s agile IT systems.
This article explains how microservices, unlike monolithic applications, rely on inter‑process communication mechanisms, describes various interaction styles, API definition and evolution, handling partial failures, and compares synchronous (REST, Thrift) and asynchronous (messaging) IPC technologies.
This article explains Ant Financial's practical implementation of a distributed architecture—including micro‑service migration, modular development, database vertical and horizontal sharding, high‑availability mechanisms, task‑scheduling platforms, gray‑release strategies, and full‑link stress testing—to achieve reliable, scalable payment processing.
This article provides a comprehensive tutorial on using Hystrix for circuit breaking in Spring Cloud microservices, covering theory, isolation strategies, detailed YAML configuration, fallback implementation, dynamic updates with Archaius, timeout settings across Feign, Ribbon, and HttpClient, as well as dashboard visualization and all related property groups.
The article introduces Snowball's AIBO data middle platform, detailing its storage‑compute separation architecture, core capabilities such as data integration, catalog, tagging, analysis tools, micro‑service data APIs, and outlines future enhancements for security, lineage, and continuous business‑driven iteration.
The article details Tencent Cloud’s YunZhiTianshu AI platform architecture—spanning Docker/Kubernetes infrastructure, storage, six micro‑service layers and API/message gateways—while explaining core module designs, unified algorithm packaging, device and data abstraction, and practical Kubernetes deployment techniques for GPU‑accelerated AI workloads, monitoring, scaling, and security.
This article introduces the SQC mock service platform built for the SCF microservice framework, outlines three mock implementation approaches, explains why the third solution was chosen, and details the platform’s architecture, features, and benefits for backend testing and integration.
The article explains how Airbnb’s payment platform uses a generic idempotency library called Orpheus, combined with Java lambda‑driven transaction composition, to guarantee data consistency, avoid double charges, and handle retries in a low‑latency micro‑service architecture.
This article walks you through creating a Quarkus‑based microservice with REST endpoints, input validation, unit testing, inter‑service communication, health checks, Swagger UI, local execution, and finally deploying the services to OpenShift using S2I and native image builds.
This article walks through the transition of an online supermarket from a simple monolithic web application to a fully fledged microservice architecture, highlighting the challenges, design decisions, component choices, monitoring, tracing, testing, and operational practices needed for a robust, scalable system.
A 25‑year‑old Beijing Java developer reflects on stagnation and offers a detailed learning roadmap—including source‑code reading, distributed and microservice architectures, concurrency, performance tuning, and design patterns—to avoid being eliminated and secure a lasting technical career.
The article details the step‑by‑step architectural evolution of Mafengwo's instant‑messaging platform—from an initial PHP‑based monolith, through polling optimizations with OpenResty, to a Go‑implemented, micro‑service‑oriented design that improves scalability, reliability, and multi‑device synchronization.
This article explains the three main monitoring approaches—log collection, distributed tracing, and metric gathering—in microservice architectures, outlines the layered monitoring model, lists key system, application, and user metrics, and reviews popular open‑source time‑series monitoring tools such as Prometheus, OpenTSDB, and InfluxDB.
A seasoned backend developer shares his eight‑year journey, mid‑life career anxieties, a full‑stack interview experience at a Xiamen gaming firm, and reflective thoughts on the fleeting value of countless projects, highlighting lessons on technical growth, management skills, and continuous learning.
The article analyzes job‑hopping statistics, explains why companies often underpay existing staff, and offers six actionable career strategies plus a detailed rundown of the Java and backend skills needed to succeed in top‑tier tech interviews.
The Linux Foundation's newly created Reactive Foundation, backed by Alibaba, Facebook, Lightbend, Netifi and Pivotal, aims to accelerate Reactive Streams and RSocket standards, reshaping backend architectures with non‑blocking concurrency, functional programming models, and cloud‑native distributed communication.
This article presents a curated collection of notable open‑source Java backend projects—including Spring Boot demos, third‑party login libraries, microservice frameworks, rapid development kits, and e‑commerce tutorials—each with brief descriptions and GitHub links for developers to explore and learn from.
The article describes a precise impact‑testing tool for distributed Java services that detects code changes through AST diffs, combines static bytecode analysis with a java‑agent‑based dynamic tracer, aggregates cross‑service call graphs via tracing (or SkyWalking), and presents affected interfaces and call‑chains, while noting limitations such as polymorphism handling, performance overhead, and Java‑only support.
Wang Xiaobo explains how public‑cloud services can simplify designing and implementing active‑active architectures, covering data‑center redundancy, real‑time synchronization, fault‑tolerant networking, micro‑service migration, and cost‑benefit trade‑offs, while urging incremental, cloud‑assisted approaches rather than full 100% multi‑active deployments.
This article summarizes a Kubernetes & Cloud Native meetup talk that reviews recent Service Mesh product releases, analyzes six emerging trends, explains the core value of separating business and non‑business logic, and highlights the technology's future direction within cloud‑native architectures.
This article introduces Spring Cloud, its purpose and architecture, explains the version naming scheme and compatibility with Spring Boot, lists core sub‑projects with brief descriptions, and highlights important version notes for developers building resilient distributed systems.
This article provides an in‑depth overview of logging strategies from Docker to Kubernetes, explains the security architecture of Kubernetes clusters, and outlines best‑practice deployment of the Kong microservice gateway within a Kubernetes environment, offering practical insights for cloud‑native DevOps engineers.
The article introduces Apache Dubbo, a high‑performance Java RPC framework, outlines its history, current features, multi‑language ecosystem, recent releases, and future plans such as cloud‑native integration, service‑mesh support, reactive programming, and the roadmap toward Dubbo 3.0.
This article uses Taobao as a case study to trace the evolution of its server‑side architecture from a single‑machine setup to a cloud‑native, micro‑service ecosystem capable of handling tens of millions of concurrent users, highlighting key concepts, technologies, and design principles at each stage.
The article explores how software architecture, traditionally depicted with static diagrams, must be continuously operationalized and evolved—illustrated by a thought experiment of a dormant computer, real‑world airline case, and the rise of microservices and DevOps practices—to remain viable in a constantly changing ecosystem.
The article explains traditional release practices, contrasts monolithic and microservice architectures, highlights challenges of scaling microservices, and shows how Kubernetes provides automation, configuration management, fault handling, and elastic scaling to streamline cloud‑native deployments.
Facing growing business complexity, a two‑person SaaS team transitioned their monolithic application to a microservice architecture, adopting Spring Cloud, Docker, Kubernetes, CI/CD pipelines with Jenkins, automated testing, service splitting principles, and lightweight tracing, ultimately achieving scalable, observable, and maintainable cloud‑native operations.
This article chronicles the evolution of the 贝聊 platform from its early LNMP monolithic setup through a Java‑based distributed system to a full microservices architecture, highlighting the technical challenges, design decisions, and future plans such as containerization and API gateway implementation.
This article explains the fundamentals of service mesh, details Istio's architecture and components, demonstrates traffic management, security, and telemetry features with practical examples, and presents performance testing results and Go client code for managing Istio CRDs in a Kubernetes environment.
This article presents a comprehensive overview of Huajiao's gRPC development practice, covering background decisions, gRPC features, gateway integration, Dart and Go client libraries, component architecture, protobuf conventions, code generation, SDK integration, documentation tooling, debugging strategies, and future roadmap.
The article offers a comprehensive overview of backend development, explaining core system design principles, architectural patterns, network communication techniques, fault handling strategies, monitoring and alerting practices, service governance mechanisms, testing methodologies, and deployment workflows, from high cohesion and scaling to gray‑scale releases and rollbacks.
This article outlines comprehensive best‑practice guidelines for building microservice systems, covering source‑code management, development environments, continuous integration and delivery, deployment packaging, automated rollout, feature‑flag usage, configuration handling, centralized logging and monitoring, autoscaling, external service integration, and team ownership throughout the service lifecycle.
This tutorial walks through integrating Dubbo into a Spring Cloud Alibaba project using Nacos as the service registry, covering interface definition, provider and consumer setup, Maven dependencies, configuration details, testing, and the benefits of combining Dubbo's RPC performance with Spring Cloud's ecosystem.
This article explores best‑practice patterns for microservice communication, covering synchronous and asynchronous protocols, serialization formats, API design, service discovery, versioning, rate limiting, circuit breakers, correlation IDs, distributed consistency, authentication, retries, and economic considerations.
This article explains why microservice architecture is essential for handling growing product complexity, outlines key requirements such as team autonomy, speed, automation, and flexibility, and provides concrete guidance on service boundaries, stateless design, eventual consistency, and security best practices.
This guide surveys the most popular open‑source distributed tracing projects, classifying them by instrumentation, tracer, and analysis capabilities, and explains how they fit into modern microservice observability, helping newcomers understand each tool’s strengths, integrations, and the broader tracing ecosystem.
This article introduces RSocket, examines its production performance tests with Dubbo and Spring Flux, explains the protocol’s four interaction models and key features, and discusses the practical benefits of using RSocket for reactive business development and future back‑pressure scenarios.
This article discusses why microservices have become popular, outlines their advantages such as continuous delivery, easier maintenance, independent scaling, fault tolerance, and technology flexibility, and also examines the challenges like service decomposition, distributed system complexities, and multi‑team coordination, helping readers decide when to adopt them.
This article presents a curated list of the most popular Java open‑source projects on GitHub for July, highlighting eleven repositories—most of them Spring‑based—along with their star counts, brief descriptions, and links for developers seeking valuable resources.
This article examines common misuse of base Controller and Service classes in Java micro‑service projects, critiques embedding business logic in Controllers, exposing persistence models to APIs, and offers concrete refactoring steps, project structuring patterns, and best‑practice guidelines to restore a clean three‑layer architecture.
This article explains how microservices differ from traditional monolithic delivery, outlines the five key architectural constraints—scalability, elasticity, composability, minimality, and completeness—and provides practical guidance for designing robust, loosely‑coupled services.
Go‑Spring is a Go‑language application framework that brings Spring‑style conventions such as dependency injection, auto‑configuration, starter modules, interface‑based design, and integrated testing to developers, enabling organized code, easy component swapping, configuration binding, and full‑stack unit tests while supporting databases, messaging, and microservice features.
OCTO is Meituan's distributed microservice communication and governance platform that unifies service registration, discovery, load balancing, fault tolerance, gray releases, and call data across thousands of services, handling billions of calls with components such as OCTO‑RPC, OCTO‑NS, OCTO‑Portal, SGAgent, Oceanus, Watt, and MCC, achieving 99.999% success and moving toward API‑based naming and service‑mesh evolution.
Alibaba’s Xianyu team replaced costly JNI‑style Java calls with the AliMesh sidecar service‑mesh, decoupling heterogeneous Dart services from Java back‑ends, simplifying code, and achieving modest overhead—under 20 % CPU rise and roughly 1 ms extra latency—while delivering stable, maintainable production performance.
Spring Cloud Alibaba has officially graduated after a year of incubation, releasing its first post‑graduation version with updated components, migration guidelines, release notes, a roadmap for future features, and a new committer mechanism, all of which impact how developers integrate and maintain their microservice projects.
The article examines how the rise of cloud platforms, micro‑services, big data, AI and IoT is driving enterprises to replace decade‑old client‑server architectures with cloud‑centric, real‑time systems across retail, manufacturing and finance, outlining the technical and operational shifts required for digital transformation.
This article examines Netflix's evolution from a monolithic platform to a resilient microservice ecosystem on AWS, detailing the architectural layers, key pain points like service failures and data consistency, and the engineering solutions—including circuit breakers, fault‑injection testing, distributed caching, and automated deployment pipelines—that enable massive scale and high availability.
This article examines the challenges of traditional retail accounting, introduces the concept of a financial middle platform, outlines its business and application architecture using the C4 model, and provides practical guidance for evolving the design into a micro‑service ecosystem while balancing complexity and performance.
This article presents a comprehensive collection of Spring Boot best practices—ranging from custom BOM management, automatic configuration, project initialization with Spring Initializr, clean controller and service design, externalized configuration, logging, testing strategies, and more—to help developers build robust, maintainable Java microservices efficiently.
This article traces Taobao’s backend architecture evolution—from a single‑server setup to distributed caching, load‑balancing proxies, database sharding, microservices, containerization, and finally cloud‑native deployment—highlighting the technologies, challenges, and design principles that enable scaling from hundreds to tens of millions of concurrent users.
This article examines the evolution of Java microservices at Huajiao, compares existing PHP and Java solutions, justifies the adoption of Spring Boot 2 with MyBatis and Undertow, outlines incremental improvements such as CI/CD migration and service mesh adoption, and presents a roadmap for future microservice components.
This article examines the challenges of a PHP‑based microservice stack, compares open‑source Java solutions, explains the rationale for adopting Spring Boot 2 with MyBatis and Undertow, and outlines a roadmap toward CI/CD automation, service discovery, and Service Mesh adoption.
The article traces Taobao's backend architecture evolution—from a single‑machine setup through caching, load balancing, database sharding, microservices, containerization, and cloud deployment—illustrating the technologies and design principles needed to scale from hundreds to tens of millions of concurrent users.
This article traces Taobao’s backend architecture evolution from a single‑server setup to a cloud‑native, micro‑service ecosystem, detailing each scaling stage—separating Tomcat and database, adding caches, load balancers, read/write splitting, sharding, NoSQL, ESB, containers, and finally public‑cloud deployment—while highlighting the associated technologies and design principles.
Cloud native, a rapidly evolving paradigm, combines containerization, microservices, DevOps, and continuous delivery to build applications that fully leverage cloud elasticity and scalability, and while its definitions vary across organizations and time, the core principles remain DevOps, continuous delivery, microservices, and containers.
This article presents a complete Spring Boot project template for an e‑commerce order service, covering README composition, one‑click local build scripts, business‑oriented package layout, automated test classification, logging, exception handling, background tasks with distributed locks, static analysis, health checks, Swagger API documentation, database migration, multi‑environment configuration, CORS setup, and a curated list of useful third‑party libraries.
This article walks through Taobao's architectural evolution—from a single‑server setup to distributed clusters, caching, load balancing, microservices, containerization, and finally cloud platforms—illustrating the technologies and design principles needed to handle hundred‑to‑hundred‑million concurrent requests.
The talk outlines Foxconn Cloud’s industrial‑internet practices, explaining why microservices, DevOps and cloud computing dominate industries, detailing unique microservice design versus traditional SOA, and showcasing real‑world cloud‑native architectures and development approaches for manufacturing and IoT applications.
This article introduces the fundamentals of microservices and reactive systems, explains how reactive programming integrates with microservice architectures, compares traditional and reactive approaches, outlines core components, design principles, and technology choices such as Spring Cloud, and provides guidance for building scalable, resilient reactive microservices.
This article explains the concept of cloud native computing, covering its definitions, the role of containers and orchestration, the benefits and challenges of micro‑service architectures, and practical tools like Docker and Kubernetes for building scalable, portable applications.
This article analyzes Youzan's transition from fragmented, silo‑based customer‑operation services to a unified, component‑driven platform, detailing the early challenges, the strategic integration decisions, the technical architecture, and future directions for scalable business operations.
This article details how MaFengWo’s payment center evolved from a simple 1.0 implementation to a robust 2.0 architecture, covering core capabilities, modular design, monitoring, and the operational lessons learned for building a high‑availability, scalable payment platform.
This article explains the concept of circuit breaking and rate limiting in micro‑service architectures, compares Hystrix and Istio implementations, details Istio's ConnectionPool and outlierDetection settings, maps their parameters to Envoy, and provides step‑by‑step command‑line examples that demonstrate how these controls behave in practice.
This article explains the concept of gray (canary) release, compares implementation options such as Nginx + Lua, Netflix Zuul and Spring Cloud Gateway, and provides detailed Java code for custom routing predicates, version handling, and dynamic configuration integration with Nacos.
This article uses Taobao as a case study to trace the evolution of its server‑side architecture from a single‑machine setup to a cloud‑native, micro‑service ecosystem, detailing each scaling milestone, the technologies involved, and the design principles that guide high‑availability, high‑concurrency systems.
This article introduces Docker as an open‑source container engine, explains its advantages over traditional virtual machines, shows how it powers microservices, and provides step‑by‑step Linux installation, basic commands, and a hello‑world example for newcomers.
This article explains why Medium transitioned from a monolithic Node.js application to a microservice architecture, outlines the three core design principles, shares practical strategies for service creation, decoupling, observability, deployment, and how to avoid common microservice pitfalls.
The article details JD.com’s 618 shopping festival engineering, describing how componentized micro‑services, a unified data platform, and the Archimedes elastic scheduling system enabled billions of requests, real‑time data processing and seamless online‑offline integration without adding new server resources.
This article introduces Domain‑Driven Design, explains why traditional MVC‑based CRUD approaches lead to heavy, hard‑to‑maintain services, and shows how DDD concepts such as aggregates, bounded contexts, event sourcing and CQRS can clarify business logic, improve micro‑service boundaries, and reduce system complexity.
The article introduces Apache Dubbo, a high‑performance lightweight Java RPC framework, outlines its core capabilities, development history, technical ecosystem, 2019 plans, shares micro‑service implementation experiences, and provides speaker and community information for the DataFun big‑data forum.
This article examines why monolithic, tangled codebases—dubbed the Big Ball of Mud—fail due to performance, complexity, and organizational mismatches, and presents a series of concrete architectural remedies such as domain modeling, service decomposition, ESB avoidance, asynchronous messaging, and event sourcing to achieve stable, maintainable systems.
This article uses Taobao as a case study to trace the evolution of a backend system from a single‑machine setup to a multi‑layer, highly available, horizontally scalable architecture that can handle tens of millions of concurrent users, summarizing key technologies and design principles at each stage.
The article chronicles the historical shift from low‑level functions through object‑oriented, interface‑driven, and component‑based designs to WebServices, microservices, and finally serverless cloud‑native applications, highlighting key industry milestones, Amazon's architectural principles, and the role of DevOps, Docker, and Kubernetes.
This article analyzes Youzan Cloud's architecture for supporting multi‑language customizations, detailing the distinction between small and large SaaS customers, the role of tool, self‑use, and industry apps, and the service‑mesh‑based RPC framework that abstracts protocols, monitoring, and logging across Java, PHP, Python, and Node.js.
The article analyzes current and emerging software architecture trends such as evolutionary architecture, microservices adoption, event sourcing, serverless, and the evolving role of architects, highlighting which concepts are moving toward mainstream adoption and which remain niche.
The talk traced Internet backend architecture from early monolithic JSP/ASP pages through the big‑data era’s distributed components, to cloud‑native micro‑services and DevOps, culminating in AI‑driven, tightly integrated ecosystems, while highlighting practical challenges in communication, testing, and organizational alignment.
In a May 25 Tencent salon, senior engineer Han Xin traced cloud‑computing’s shift from monolithic J2EE to container‑based microservices, explained service‑mesh and middle‑platform concepts, and showcased Tencent Service Framework’s governance, DevOps and reusable capabilities, emphasizing that simple, fast architectures must directly serve business value.
This article explores how Alibaba's Cloud Service Engine (CSE) overcomes the limitations of AWS Lambda by enabling rapid, millisecond‑level startup for legacy online services, delivering elastic scaling, cost‑per‑request billing, and seamless migration to a serverless architecture.
This article uses Taobao as a case study to illustrate how a web service evolves from a single‑machine setup to a cloud‑native, micro‑service architecture capable of handling tens of millions of concurrent requests, detailing each technical milestone and the principles behind the design choices.
In this detailed talk, Didi senior engineer Du Huan explains the challenges of building large microservice frameworks, outlines design principles such as the Rule of Least Power, describes the evolution of service frameworks, and shares concrete implementation techniques and business benefits of Didi's Go‑based platform.
The Replay Comparison Engine built by Youzan captures live online requests, replays them against a staging environment, automatically compares responses to spot regression errors, and provides a configurable SDK, server and console that dramatically cut testing cost while boosting coverage and efficiency across its SaaS services.
The article summarizes the 58 Group technical salon where experts presented the microservice‑based recommendation system architecture, data and strategy layers, and the internally built search ranking platform covering sampling, feature engineering, and model training, highlighting practical implementations and lessons learned.
This article explains how Weibo's video team designs a highly available, high‑concurrency architecture for short‑video services, covering team responsibilities, business scenarios, microservice design, caching layers, multi‑data‑center HA, and circuit‑breaker mechanisms to sustain unpredictable traffic spikes.
The May 25 WeDoctor Frontend Tech Salon, themed “Boundless,” gathered over 30 external companies and 100 internal participants to explore server‑side rendering, desktop and cross‑platform front‑end development through six technical talks covering Vue SSR, Node.js micro‑services, exception monitoring, NW.js, WebView integration, and Weex implementation.
The article describes the design and implementation of a voice robot platform, covering its background, layered architecture, dialogue flow, intent recognition techniques, micro‑service backend, and future improvements, highlighting how AI models and telephony integration enable automated multi‑turn voice interactions for sales and service scenarios.
This article explains how Fangdd leverages Elasticsearch to boost search performance across consumer, broker, and internal products, detailing a platformized architecture that separates indexing and querying, addresses operational challenges, and outlines design patterns for index management and incremental updates.
Rate limiting is essential for microservice resilience, preventing overloads and protecting business continuity, and can be implemented through various methods such as semaphores, thread‑pool isolation, fixed or sliding windows (using Redis ZSets or local memory), token‑bucket/leaky‑bucket algorithms, each with trade‑offs in accuracy, performance, clock synchronization, and deployment location.
This article curates thirteen notable open‑source Spring Boot projects—including e‑commerce platforms, micro‑service scaffolds, payment solutions, and ERP systems—providing brief overviews, star counts, repository links, and demo screenshots to help Java developers discover useful resources for learning and building applications.
The article explains how contract testing and chaos engineering can be combined to improve the quality and resilience of microservice systems, describing their principles, practical tools such as Chaos Monkey and ChaosBlade, and detailed experiment steps for validating service reliability in cloud‑native environments.
This article traces the evolution of software architecture—from monolithic applications through vertical and SOA designs to modern microservices—detailing each style’s characteristics, advantages, and drawbacks to help developers understand when and why to adopt each approach.
This article explains what Spring Cloud is, its advantages for distributed microservices, the meaning of service registration and discovery, the purpose of load balancing, how Hystrix provides fault tolerance and circuit breaking, the role of Netflix Feign, and the function of Spring Cloud Bus for configuration refresh across instances.
Xianyu’s tech team adopted Dart for a backend glue layer that bridges frontend Flutter clients and Java domain services, leveraging Dart’s familiar syntax, strong async/await support, isolates for rapid hot‑replaceable development, and parallel Future.wait calls to achieve high‑performance, low‑latency APIs with fast deployment.
This article introduces the fundamentals of Istio as a service mesh, explains its data‑plane and control‑plane architecture, and details the roles of the Pilot component—including pilot‑agent and pilot‑discovery—in providing service discovery, traffic management, and integration with Kubernetes for microservice deployments.
This article summarizes the design of WeChat's massive‑scale backend, covering its evolution from early storage systems to a multi‑master PaxosStore architecture that delivers six‑nine availability, strong data consistency, rapid iteration, and a unified microservice framework for billions of daily operations.
This article explains how Istio simplifies microservice management by providing a full service‑mesh solution—including service discovery, load balancing, fault recovery, telemetry, and traffic control—while detailing its architecture, the roles of the data and control planes, and the functions of the Pilot components.
This article explains how to handle distributed transactions in microservice architectures by using eventual consistency with message middleware, discusses the pitfalls of combining database updates and message sending in a single transaction, and presents a reliable solution involving a message table, background processing, ACK mechanisms, and deduplication.
The article traces website architecture evolution from a single‑server LAMP setup to distributed clusters, highlighting stages such as service separation, caching, load‑balanced application servers, read‑write database splitting, CDN/reverse proxy use, distributed storage, NoSQL/search integration, and finally SOA‑based business and service segmentation.
