The article systematically compares eleven technical approaches for automatically closing expired e‑commerce orders, detailing each method’s implementation steps, trade‑offs, performance characteristics, and ideal deployment scenarios, and finally ranks them to guide practical selection.
This article examines practical strategies for automatically canceling unpaid orders, comparing simple timer‑based polling, cluster‑ready schedulers like Quartz, Elastic‑Job, and XXL‑JOB, as well as delayed‑message approaches using RocketMQ and Redis, and offers best‑practice guidelines for concurrency, monitoring, and fault tolerance.
The article explains how microservice systems handle service calls, compares RPC and event‑driven (message) communication, details various coupling types, discusses event notification and event sourcing, and offers practical guidance on reducing tight coupling through API gateways, versioning, and gRPC.
This article outlines the design of a unified solution platform for customer service, detailing the separation of dynamic workflows and static knowledge bases, the architecture of a custom process engine, and a resource engine for API integration, while highlighting implementation challenges and future automation goals.
This article explains what distributed systems are, why they are essential for scaling and high availability, and walks through core technologies such as service frameworks, caching, file systems, locks, ID generation, transactions, messaging, and other essential components.
This article explains how Kuaishou tackled the growing complexity of its recommendation system by developing the Dragonfly strategy engine framework, detailing the challenges, architectural abstractions, DSL-based workflow composition, data handling, ecosystem tools, and future development plans.
This article details the end‑to‑end design of a payment system, covering transaction flow, horizontal and vertical pre‑optimizations, task scheduling, sharding strategies, data structures, high‑availability mechanisms such as channel isolation and Hystrix, and future planning for dynamic scaling and intelligent routing.
This article presents a comprehensive case study of applying domain‑driven design, layered architecture, and microservice decomposition to a restaurant scenario, detailing domain analysis, modeling, upstream‑downstream relationships, architectural mapping, and functional design to guide backend developers in building maintainable systems.
This article details the design and implementation of a highly available membership system that handles billions of users and peak traffic of over 20,000 TPS, covering Elasticsearch dual‑center master‑slave clusters, traffic‑isolated three‑cluster architecture, Redis caching with distributed locks, and dual‑center MySQL partitioning.
This article explores how PayPal achieved the processing of billions of daily transactions using only eight virtual machines by adopting an actor‑model architecture built with Go, detailing the underlying challenges, network and resource optimizations, and providing a complete Go code example.
This article details Baidu’s internally built unified long‑connection service in Go, covering its motivation, architecture, functional implementation, performance optimizations, multi‑business support, deployment strategy, and lessons learned for delivering secure, high‑concurrency, low‑latency real‑time connectivity across mobile applications.
Baidu’s Go‑based unified long‑connection service delivers secure, high‑concurrency, low‑latency connections for multiple Baidu apps through a four‑layer architecture (SDK, control, access, routing), employing goroutine pooling, two‑layer connection models and binary routing to support tens of millions of concurrent users and million‑level QPS, while simplifying integration and reducing maintenance costs.
This article explains the concept, architecture, strategy configuration, and execution mechanisms of a gray (canary) release system for microservices, covering simple designs, Nginx and gateway implementations, and complex multi‑service and database scenarios with practical code snippets.
This article explains the concepts, design principles, and key differences among RESTful, SOAP, RPC, SOA, and microservices, and outlines why microservices have emerged as an evolution of SOA, illustrated with typical framework examples and architectural evolution diagrams.
This article explains the core design goals, sharding strategies, replication models, communication protocols, cache selection, and monitoring techniques needed to build high‑performance, highly available, and scalable distributed cache systems for large‑scale internet applications.
This article explains the essential "three high" goals of system design—high availability, high throughput, and high scalability—detailing their meanings, common architectural patterns such as Hot‑Hot, Hot‑Warm, leader‑based clusters, and practical techniques like caching, async processing, and micro‑service isolation to build robust, scalable services.
This article explains asynchronous messaging patterns, compares RabbitMQ and Apache Kafka in depth, and provides a step‑by‑step decision guide that highlights their architectural differences, strengths, weaknesses, and suitable use‑cases for modern software systems.
This article walks through the design of a billion‑user group chat platform, covering functional and non‑functional requirements, core components, database schema, face‑to‑face group creation, message flow, storage strategies, and performance‑optimizing techniques such as clustering, message queues, multithreading, and Redis caching.
This article explains how Bilibili's account platform was refactored into a unified multi‑tenant microservice system, covering the background problems, domain‑driven design, data isolation strategies, configuration‑driven tenant onboarding, deployment models, gray‑release migration, and solutions for bidirectional data sync loops.
Kuaishou’s Dragonfly framework replaces tightly‑coupled C++ recommendation code with a Python‑centric DSL that compiles to high‑performance JSON, offering DAG‑based operators, schema‑free dataframes, and a full ecosystem of debugging, tracing, and governance tools, dramatically cutting code volume while enabling fast, scalable scenario development.
A senior architect discusses the challenges of applying microservice architecture to real‑time game servers, highlighting latency, stateful processing, and network overhead, and shares multiple expert opinions on when microservices are appropriate versus when monolithic designs are preferable for high‑performance gaming.
This article describes how Kuaishou built the Dragonfly strategy engine framework—covering problem analysis, architecture design, DSL-based workflow orchestration, process and data abstractions, ecosystem tools, and future plans—to solve the scalability, coupling, and maintenance issues of its rapidly expanding recommendation services.
In a recent interview with a listed game company, the author explores why microservice architectures, despite their popularity for scalable web applications, often clash with the low‑latency, state‑heavy requirements of real‑time game servers, highlighting technical and team‑size considerations.
This article explains the concept of query separation, its suitable scenarios, implementation methods—including synchronous, asynchronous, and binlog approaches—storage options, MQ considerations, and how it can dramatically improve query performance for massive tables.
This article outlines nine practical best‑practice steps for designing a low‑complexity, high‑efficiency microservices ecosystem, covering principles such as the Single Responsibility Principle, cross‑functional team organization, appropriate tooling, asynchronous communication, DevSecOps security, independent data stores, isolated deployment, orchestration, and effective monitoring, each illustrated with concrete examples.
The article reflects on the promises and pitfalls of microservices, comparing them to monolithic architectures, and shares practical lessons about scalability, deployment complexity, data consistency, and when a monolith might actually be the better choice.
This article examines how YouTube achieved massive scalability using a simple tech stack, a "flywheel" process, strategic outsourcing, caching layers, and three core pillars—statelessness, replication, and partitioning—while keeping the engineering team lean and adaptable.
This article explains how PHP‑FPM and Nginx interact via FastCGI, detailing the roles of master and worker processes, configuration directives, and the differences between TCP and Unix socket communication methods.
This article details the architecture, core algorithms, security measures, and performance optimizations of a high‑throughput short‑link service, covering hash‑based ID generation, Base62 encoding, distributed ID schemes, caching, database indexing, sharding, and monitoring to ensure efficient and secure URL shortening.
This article explains the business scenarios that drive the need for globally unique distributed IDs, analyzes the challenges of uniqueness, performance, and availability, and details Vivo's self‑built LuBan ID service—including its architecture, three ID formats, custom extensions, SDK usage, performance optimizations, and real‑world deployment metrics.
This article explains Huolala’s multi‑group microservice architecture, covering its background, core principles, deployment, discovery, routing strategies, extension mechanisms, and practical application scenarios that enable flexible, versioned, and policy‑driven service routing.
This document outlines the business scope, value, overall and real‑time data layer architecture, design advantages, data model, extensibility, and future challenges of the order system, emphasizing decoupling, high availability, scalability, and cost control.
This article dissects the design of WeChat's group chat system, covering functional and non‑functional requirements, high‑level component architecture, database schemas, face‑to‑face group creation, real‑time messaging, red‑packet algorithms, and Go code implementation, revealing how massive concurrency, performance, and storage challenges are solved.
This article explains the different types of coupling in microservice architectures, compares RPC and event‑driven communication methods, discusses event notification and event sourcing, and offers practical guidance on choosing and combining these approaches to reduce tight coupling while maintaining system flexibility.
Vivo tackled high CPU overhead in large‑scale Dubbo deployments by disabling unused routers, caching routing results with BitMap intersections and epoch validation, optimizing weight calculations, and adding a grouping router, which together delivered over 100 % TPS gains for 20 k+ providers and cut CPU usage by roughly 27 %.
The article details JD Logistics' order system redesign using a four‑layer transaction architecture, describing its decoupled backend, unified data model, high‑availability components such as CQRS, Redis, JMQ, HBase, and Elasticsearch, and outlines design advantages, extensible data modeling, future challenges, and overall performance outcomes.
This article explains the core components of RocketMQ—including NameServer, Broker, Producer, and Consumer—detailing their functions, deployment diagrams, and how the middleware supports high‑concurrency scenarios such as peak shaving, asynchronous messaging, fault tolerance, and system decoupling.
This article introduces asynchronous messaging patterns, then compares RabbitMQ and Apache Kafka by examining their internal architectures, message models, and trade‑offs, helping architects choose the appropriate solution based on scenario requirements in modern.
The article examines the alluring promises of microservices—such as faster deployments, independent scaling, and team autonomy—while revealing the hidden complexities like deployment chaos, service discovery, data consistency, latency, and the nostalgic appeal of monolithic architectures, ultimately offering three key takeaways for architects.
This article details the design and optimization of a high‑throughput live‑streaming danmaku system, covering background requirements, bandwidth challenges, short‑polling versus WebSocket delivery, compression and frequency controls, service splitting with caching and lock‑free ring buffers, and reports successful handling of 700 k concurrent users during a major event.
This article presents a comprehensive guide to building a payment funds account system, covering core concepts such as account balance, ledger, and voucher, accounting principles like double‑entry bookkeeping, storage choices with TDSQL, security measures using the STRIDE model, consistency guarantees, distributed transactions, high‑availability design, and operational practices such as idempotency, rate limiting, and thorough auditing.
This article presents a comprehensive guide to designing and implementing a secure, cloud‑native funds account system for payment platforms, covering core concepts such as account structure, balance and transaction logs, accounting principles, storage selection, distributed transactions, security measures, consistency, availability, and best‑practice architectural patterns.
This article details the design of a decoupled, high‑availability order system, covering business scope, value propositions, layered architecture, real‑time data layer, read/write separation, caching, messaging, search, multi‑tenant support, data security, and future challenges such as personalized queries and cost‑effective scaling.
This article walks through the full lifecycle of building a ride‑hailing platform, covering the impact of emergencies, requirement analysis, high‑level and detailed architecture, long‑connection management, GeoHash location algorithms, and experience‑optimisation techniques to ensure reliable, real‑time dispatch.
This article explains how to design a practical feed‑flow system for enterprises, covering core concepts, feed types, initialization, push‑pull versus pure push strategies, and provides key Java code snippets that illustrate Redis‑based storage and update mechanisms.
This article explains the fundamentals of Reactor and Proactor event‑handling patterns, discusses Linux’s limited AIO support, and presents seven practical server concurrency models—from single‑threaded accept to multi‑process thread‑pool designs—detailing their workflows, advantages, drawbacks, and suitable use cases.
This article outlines essential architectural and operational strategies—including page static‑generation, CDN acceleration, caching layers, asynchronous processing, thread‑pool and MQ integration, sharding, connection pooling, read/write splitting, indexing, batch processing, clustering, load balancing, rate limiting, service degradation, failover, multi‑active deployment, stress testing, and monitoring—to build robust, high‑concurrency backend systems.
The article examines why many microservice migrations end up as distributed monoliths, highlighting the hidden costs, stability issues, and common pitfalls such as excessive synchronous calls and lack of protection mechanisms, and offers practical guidance to avoid these traps.
This article presents Xiaohongshu's evolving recommendation engineering architecture, detailing its modular backend design, graph-based Ark framework, hot deployment mechanisms, and the challenges and solutions for scaling personalized content delivery in a fast‑growing mobile platform.
This article examines the challenges of maintaining data consistency across micro‑service boundaries, walks through real‑world payment and gifting scenarios, compares classic solutions such as 2PC, saga, TCC, local‑message tables and transaction messages, and finally recommends a pragmatic approach for building reliable distributed transaction mechanisms.
This article explores comprehensive strategies for designing high‑concurrency systems, covering page staticization, CDN acceleration, caching layers, asynchronous processing, thread‑pool and MQ integration, sharding, connection pooling, read/write splitting, indexing, batch processing, clustering, load balancing, rate limiting, service degradation, failover, multi‑active deployment, stress testing, and monitoring.
The article outlines the design and evolution of an enterprise‑level unified push notification service, detailing its modular to service‑oriented architecture, multi‑channel support, high‑performance non‑functional requirements, and the comprehensive components such as clients, notification, template, distribution, priority queues, adapters, analytics, and database layers.
This article provides a detailed overview of popular message queue systems, explains their core concepts such as decoupling and eventual consistency, and compares the advantages and disadvantages of Kafka, RocketMQ, RabbitMQ, and other notable MQ solutions for high‑concurrency scenarios.
The article explains the principle of hot‑cold data separation, when it should be applied, how to distinguish hot versus cold data, and three practical implementation approaches—code modification, binlog listening, and scheduled scanning—to improve database performance and maintain consistency.
This article introduces a DDD scaffolding project, explains its theoretical foundations, presents the layered architecture and generation commands, details coding conventions for each module, and addresses frequent questions and solutions for practical adoption.
This article explains what microservices are, compares them with monolithic architecture, outlines their benefits and challenges, highlights the importance of observability, and reviews the top ten microservice frameworks and best‑practice guidelines for 2023.
This article analyzes the high‑concurrency contract‑query workload of JD Logistics, examines call sources, query dimensions and volume patterns, and proposes a three‑layer protection architecture—Bloom filter, Redis cache, and database fallback—along with strategies for cache penetration, breakdown, and avalanche mitigation.
This article provides a thorough overview of message queues, covering their definition, core components, types (point‑to‑point and publish/subscribe), key characteristics such as asynchrony, loose coupling, distribution and reliability, selection criteria among popular MQ products, and typical application scenarios in high‑concurrency systems.
This article describes how a game‑account order system with scattered core code and no design patterns was refactored into a clean three‑layer interface architecture using a strategy‑template approach, detailing the design, implementation, testing, gray‑release strategy, and post‑deployment safeguards.
Microservice design patterns provide proven solutions for common challenges such as service decomposition, communication, governance, and testing, and this article introduces ten key patterns—including API Gateway, Service Discovery, Circuit Breaker, Bulkhead, CQRS, Event‑Driven, Saga, Strangler, Sidecar, and BFF—to help build efficient, reliable, and scalable systems.
This article presents a detailed collection of 31 Java‑related architecture diagrams—including class loader, JVM, Spring, Hibernate, Struts, Android, cloud computing, Linux kernel, and various enterprise frameworks—providing a visual guide for backend developers seeking a broad understanding of Java ecosystem structures.
The Gaode Business Framework (GBF) is a lightweight, domain‑driven solution that unifies disparate industry portals by partitioning stable domains, standardizing interfaces, and providing customizable implementations, thereby eliminating duplicated glue code, improving design quality, reducing development costs, and enhancing stability and cross‑team collaboration.
This article details the architectural redesign of QQ Music's comment platform—migrating to MongoDB, introducing threaded comments, and employing caching and message‑queue decoupling—to handle massive read/write spikes during celebrity live‑drop events while maintaining high availability and performance.
QQ Music’s comment system was re‑engineered with a MongoDB backend, cache layer, asynchronous writes, split read/write services, priority queues and rate‑limiting, enabling it to endure celebrity‑driven traffic spikes, maintain data consistency, and deliver high‑availability, low‑latency user experiences.
The article presents a modular seller‑fulfillment architecture that replaces order‑type‑centric logic with a fulfillment‑mode‑driven “business identity” abstraction, enabling reusable capabilities, unified APIs, easier maintenance, faster onboarding of new order types, and improved testability and scalability for large e‑commerce platforms.
The article details JDV, JD.com’s internal visual‑big‑screen data platform, describing its architecture, the demanding real‑time, cross‑midnight, and high‑stability requirements during the 618 promotion, the technical challenges faced, and the innovative solutions—including request state control, heartbeat monitoring, video recording, orchestration tools, precise stop handling, and proxy data sources—that ensured reliable large‑scale screen deployment.
The article outlines the background, design, challenges, and future roadmap of a business search platform within the Weimob Operating System, detailing its architecture, event ingestion, index building, and retrieval services that enable low‑cost, high‑performance search across multiple business domains.
The article presents a comprehensive design and implementation of a unified push notification platform that abstracts variable configurations, systematizes immutable logic, and employs asynchronous processing, sharding, rate limiting, and resource allocation strategies to achieve scalable, reliable, and maintainable multi‑business push services.
Shopee’s unified Image Service consolidates upload, processing, and delivery into a single platform that overcomes legacy fragmentation and heterogeneous networks through resumable SDKs, adaptive ID schemes, link‑level and HTTP/3 transport optimizations, dynamic CDN scheduling, and device‑aware resizing, boosting upload success to 99.67 %, halving latency, cutting storage by 25 % and bandwidth by 56 % while markedly improving app performance.
This article describes the background, design principles, implementation details, performance optimizations, and operational results of a unified push notification platform that abstracts variable configurations, systematizes invariant logic, and supports high‑throughput, reliable messaging across multiple business lines.
Didi’s ride‑hailing backend evolved from a monolithic service to a DDD‑split architecture and the DuKang framework, then standardized components, rendering gateways, function access, and logging to solve multi‑terminal inconsistency, complex rendering logic, cross‑process integration, and data visibility, creating a unified cross‑end rendering platform supporting over twenty pages.
The article describes how a membership system serving billions of users across multiple platforms achieves high performance and high availability through dual‑center Elasticsearch clusters, traffic‑isolated three‑cluster ES architecture, Redis caching with distributed locks, dual‑center MySQL partitioning, and fine‑grained flow‑control and degradation strategies.
This article provides a comprehensive overview of microservice architecture, detailing its core concepts, key characteristics, benefits and drawbacks, and presents ten essential design patterns—including database per service, event sourcing, CQRS, Saga, BFF, API gateway, Strangler, circuit breaker, externalized configuration, and consumer‑driven contract testing—along with their pros, cons, usage scenarios, and technology examples.
This article walks through the step‑by‑step transformation of a simple online supermarket from a single‑node monolith to a fully fledged microservice architecture, highlighting the motivations, common pitfalls, component choices, monitoring, tracing, logging, resilience patterns, testing strategies, and the trade‑offs of frameworks versus service mesh.
This article explains how large hotel‑booking platforms such as Airbnb, Booking.com and OYO use a micro‑service architecture—including hotel management, customer search/booking, and view‑booking services—combined with load balancers, Kafka, Elasticsearch, Redis, Cassandra and Hadoop to achieve a seamless, high‑throughput booking flow.
This article details the evolution from the initial Kaldi‑based speech recognition architecture (version 1.0) to a re‑engineered version 2.0, describing business background, service components, identified shortcomings, and a series of performance, concurrency, GPU, I/O, GC, and dispatch optimizations that dramatically improve resource utilization, latency, and reliability for large‑scale voice processing at 58.com.
The article details how Bilibili's relationship‑chain service scaled from a MySQL‑based design to a distributed KV store, introduced successive caching layers (memcached, Redis hash, Redis KV, bloom filter), and implemented hotspot mitigation techniques to sustain near‑million QPS traffic while ensuring high availability and data consistency.
This article outlines the essential design principles, client optimizations, CDN usage, clustering, caching, database tuning, and service governance techniques needed to create robust high‑traffic, high‑concurrency systems that scale reliably and maintain performance.
This article explains what an API gateway is, outlines its required high‑performance, high‑availability, and extensibility characteristics, details core functions such as routing, load balancing, authentication, rate limiting, and compares popular solutions like Spring Cloud Gateway, Zuul, OpenResty, and Kong.
This article explains the role of API gateways in microservice architectures, outlines their four core functions, discusses design priorities such as high performance, availability, and scalability, and compares major open‑source gateway solutions like OpenResty, Kong, Zuul, and Spring Cloud Gateway.
The article explains distributed ID concepts and business scenarios, compares nine common generation schemes, and details Vivo’s LuBan service architecture—including three built‑in ID formats, custom SPI extensions, Spring‑Boot SDK usage, performance optimizations, and large‑scale deployment metrics—offering practical guidance for building high‑throughput, globally unique ID systems.
This article outlines the essential principles, architectural patterns, client optimizations, CDN usage, clustering, caching strategies, database tuning, and service governance techniques required to design, build, and maintain high‑traffic, high‑concurrency backend systems effectively.
This article explains what microservices are, outlines essential design principles, and details the most important microservices design patterns—including Aggregator, API Gateway, Chain of Responsibility, Asynchronous Messaging, Shared Database, Event Sourcing, Branch, CQRS, Circuit Breaker, and Decomposition—to help developers build robust, scalable applications.
This guide walks developers through the essential design principles, client‑side optimizations, CDN usage, clustering, caching, database tuning, and service‑governance techniques needed to build robust high‑traffic, high‑concurrency applications.
The Prime Video engineering team replaced a costly, scaling‑limited serverless microservice architecture with a streamlined monolithic solution on EC2/ECS, achieving more than a 90% reduction in infrastructure expenses while improving scalability, sparking widespread debate about the true value of microservices and serverless approaches.
The article explains Baidu's need for low‑cost, high‑latency full‑user notifications, analyzes existing IM architecture limitations, introduces a public mailbox read‑expansion approach, compares three push strategies, and details the design, management, caching, tiered release, advantages, drawbacks, and real‑world applications of this solution.
This article explains the principles, process management, sequence, and structural design of a message notification system within microservice architectures, highlighting production‑consumption patterns, task handling, state transitions, channel integration, and practical considerations for effective backend implementation.
This article examines data dependency challenges among microservices in a supply‑chain system, compares initial data‑redundancy designs with a decoupled real‑time synchronization approach, evaluates open‑source middleware options, and explains why Bifrost was chosen to achieve stable, low‑latency data sharing.
This article explains why API gateways are essential in micro‑service architectures, outlines their four core functions, discusses high‑performance, high‑availability, and scalability design goals, and compares major open‑source gateways such as OpenResty, Kong, Zuul, and Spring Cloud Gateway to help engineers choose the right solution.
This article presents a comprehensive engineering case study of a high‑traffic membership system, detailing the dual‑center Elasticsearch high‑availability design, traffic‑isolated three‑cluster ES architecture, Redis caching strategy, dual‑center MySQL partitioning and migration plan, abnormal member relationship governance, and future fine‑grained flow‑control and downgrade policies.
This article explains why microservice architecture is preferred over monolithic applications, outlines a clear learning roadmap, and details essential components such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, distributed tracing, persistence, caching, and cloud providers.
This article presents a comprehensive overview of component-based development at ZhaiZhai, detailing the background, current challenges, the component model, classification, design, deployment process, performance gains, supporting ecosystem, and concluding insights, all supported by references and practical examples.
This article outlines the essential architectural considerations for building a production‑ready batch processing module, covering design principles, task scheduling, parallelism, error handling, resource management, data‑layer concerns, deployment strategies, and monitoring practices.
This article details the end‑to‑end design of a coupon system for a rental listing platform, covering business flow, database schema, state management, caching strategies, distributed locking, and optimization techniques using design patterns, Redis, MySQL, and message queues.
The article explores the challenges and motivations behind large‑scale system refactoring, covering stability, coding standards, business rule changes, meeting structures, requirement juggling, technology selection, service division, migration, and implementation strategies, while emphasizing the need for strong team coordination and strategic trade‑offs.
This article provides a comprehensive technical overview of Kafka, covering its core message‑queue value, architecture components such as producers, consumers, topics, partitions and replication, high‑performance mechanisms like zero‑copy and OS cache, resource planning for disks, memory, CPU and network, operational tools and commands, consumer‑group management, rebalance strategies, and internal scheduling mechanisms such as the time‑wheel.
Event sourcing models state changes as immutable logs, and when combined with CQRS and Kafka Streams, it enables scalable, fault‑tolerant architectures where write and read paths are decoupled, supporting local or external state stores, interactive queries, and zero‑downtime upgrades.
This article explains the core concepts, design principles, and key differences among RESTful, SOAP, RPC, SOA, and microservices, illustrating how they relate to each other and why modern architectures increasingly adopt microservices for scalability and business agility.
This article provides a comprehensive overview of API gateway fundamentals, compares popular open‑source gateways, and details a custom Traefik‑based microservice gateway architecture with routing, authentication, protocol conversion, and high‑performance connection pooling.
The article by Tencent backend expert Lv Yuanfang explains how to design scalable mobile‑internet backend architectures and push services by defining clear protocol boundaries, aligning system components with team organization through a conversion‑layer service, and implementing comprehensive feedback loops—including health metrics, monitoring, and data‑driven analysis—to ensure high availability and low coupling.
