This article breaks down the design of a high‑traffic like service, detailing four core requirements—speed, accuracy, stability, and cost control—while recommending Redis, a message queue, and MySQL, and illustrating the full architecture from frontend to persistence with practical code examples and optimization tips.
This article explains the definition of technical architecture, outlines its core components such as technical services, components, infrastructure and selection, and illustrates how it supports business, application, and data architectures through layered system diagrams and practical examples.
This article walks through a complete, interview‑ready design of a high‑performance rate‑limiting system that can handle up to one million queries per second, covering requirements, core entities, algorithm choices, distributed state storage with Redis, scalability, high availability, latency optimization, hot‑key mitigation, and dynamic rule configuration.
This article explains the definition of application architecture, distinguishes enterprise‑level and system‑level designs, outlines its core components—application services, structure, and interaction—and illustrates layered architectures and service interactions with diagrams, helping readers understand how to translate business architecture into concrete IT solutions.
The 2025 Internet Platform Tax Reporting Regulations require platforms to submit quarterly tax‑related data for operators and workers by October 2025, and this guide explains the policy background, affected entities, compliance steps, system design, and implementation best practices to help enterprises avoid fines and turn compliance into a data‑driven advantage.
While programmers focus on implementing specific features and optimizing code, architects adopt a broader, strategic view, balancing technology stacks, system design, cost, and business goals, and the article outlines their distinct mindsets, decision‑making processes, communication roles, and practical steps for developers aspiring to become architects.
This article walks through the complete design of a high‑performance, highly available URL shortener—covering business value, requirement analysis, capacity estimation, API definitions, database schema, key generation algorithms, sharding, caching, load balancing, and expiration cleanup—so you can impress interviewers with a thorough, scalable solution.
This article explores the core concepts, design principles, and practical code examples for building high‑availability architectures, covering fault isolation, load balancing, data replication, monitoring, and cost‑benefit considerations to keep large‑scale services running reliably.
This article explains core performance metrics such as QPS, TPS, and concurrency, introduces related indicators like PV, UV, DAU/MAU, describes how to calculate system throughput, outlines testing perspectives, and provides practical design patterns and tips for building robust flash‑sale systems.
This article examines the core evaluation criteria for enterprise message queues and provides a detailed comparison of Kafka, RabbitMQ, and Pulsar—including performance, reliability, scalability, operational complexity, ecosystem maturity, and business fit—offering actionable guidance for selecting the optimal solution in cloud‑native environments.
The article analyzes five mainstream AI agent orchestration patterns—sequential, MapReduce, consensus, hierarchical, and creator‑checker—detailing their workflows, suitable scenarios, advantages, and limitations, and explains why orchestration remains valuable even as large language models advance.
This article walks you through the 30 core system‑design concepts—from client‑server basics, IP, DNS, and load balancing to databases, sharding, caching, CAP theorem, microservices, message queues, rate limiting, API gateways and idempotency—showing how each piece fits together to create high‑performance, fault‑tolerant software.
This article shares JD's practical high‑availability architecture lessons, detailing common pitfalls across applications, databases, caches, RPC frameworks, containers, data centers, GC, and message queues, and provides concrete troubleshooting steps and optimization techniques to help engineers design more resilient, fault‑tolerant systems.
This article walks through the challenges of building high‑availability systems—covering applications, databases, caches, message queues, containers, GC, and more—using JD’s production experiences to highlight common pitfalls, root‑cause analyses, and practical mitigation strategies for engineers seeking resilient architecture.
After analyzing thousands of Chinese projects, the article reveals seven pervasive architecture design pitfalls—overreliance on frameworks, chasing trends, neglecting domain modeling, ignoring evolution, overlooking non‑functional requirements, lacking team standards, and weak testing—offering practical guidance to adopt business‑driven, scalable, maintainable designs.
The article examines how many leading companies that once championed microservices are now reverting to monolithic architectures, explains the hidden complexities microservices introduce, compares the practical benefits of monoliths, and outlines scenarios where each approach makes sense, urging teams to choose the architecture that best fits their scale and workflow.
The article explains how ordinary programmers differ from architects in thinking patterns, decision making, abstraction, global perspective, communication, and continuous learning, and offers practical steps to bridge the gap and develop the mindset needed for architectural roles.
The article defines high concurrency, explains how to locate bottlenecks and understand user traffic patterns, then outlines practical measures such as distributed architecture, clustering, caching, asynchronous queues, rate limiting, database tuning, preloading, and fault‑tolerant monitoring to build robust high‑throughput systems.
This article explains the core concept of software architecture as elements, structure, and connections, distinguishes systems, subsystems, modules, components and frameworks, compares architecture classifications, describes the evolution from monolithic to distributed and microservice designs, presents fifteen practical design principles, and warns about six typical architectural pitfalls.
This article explains how recommendation systems work, distinguishes online services from offline computation, outlines a typical recommendation flow, and presents a three‑stage evolution (1.0, 2.0, 3.0) with design principles for stability, observability, and efficiency, culminating in a DAG‑based orchestration and traceable execution.
The article walks through a simulated five‑round Java interview where the candidate designs a high‑concurrency invoice‑issuing service, covering gateway architecture, async Kafka processing, cache strategies, JVM thread‑pool and memory tuning, database‑cache coordination, microservice messaging, system design, performance optimization and AI integration, all illustrated with concrete numbers and code snippets.
This article explains Alibaba Cloud's comprehensive approach to IaaS stability, covering shared responsibility with customers, availability metrics, design principles, compute, storage, and network engineering practices that together deliver rock‑solid reliability for millions of workloads.
This article explains why architects need to consider information organization, labeling, navigation, and search—beyond technical implementation—to create systems that align with human cognitive limits and deliver clear, efficient user experiences.
This article examines the pitfalls of rule‑heavy prompt engineering, introduces a systematic four‑layer architecture for AI prompts, outlines six practical compilation principles, and demonstrates how to rewrite a tangled prompt into a clear, maintainable, and scalable system blueprint.
This week’s roundup highlights six open‑source projects that saw rapid star growth on GitHub, covering AI agent learning, high‑performance quantitative trading, large‑scale system design, social‑media management, Anthropic AI tutorials, and a self‑hosted email service, each with key features and repository links.
This comprehensive guide explains what a settlement system is, outlines ten critical design steps—from data source identification to bill provision—and illustrates their application across diverse scenarios such as corporate welfare platforms, government services, promotion platforms, bank acquiring, points e‑commerce, ETC, and consumer finance, while highlighting key rules, workflows, and interface considerations.
This article outlines the overall architecture, data architecture, logical project structure, and the construction of a data resource center for a data lake and application platform, illustrated through a series of diagrams that depict each component and their interconnections.
This article examines Grok 4’s impressive 45% HLE score—nearly double Gemini 2.5 Pro—explaining its significance in AI evaluation, and then delves into the technical challenges of implementing reliable read‑receipt mechanisms for group messages, covering data storage and acknowledgment strategies.
Understanding system design trade‑offs is crucial for building robust software; this article examines ten common compromises—from vertical vs. horizontal scaling and SQL vs. NoSQL to CAP theorem, consistency models, REST vs. GraphQL, stateful vs. stateless architectures, caching strategies, and synchronous vs. asynchronous processing—highlighting their benefits and drawbacks.
This article examines ten common system‑design trade‑offs—from vertical versus horizontal scaling and SQL versus NoSQL to consistency versus availability—explaining each option, its benefits and drawbacks, and helping engineers make informed architectural decisions.
This guide explains why every money‑related process must be standardized, breaks down procurement management into demand, execution, and delivery, identifies five core problems, and shows how to construct a complete procurement system with modules for suppliers, requests, orders, inbound/return, and dashboards.
This article explains how to create clear software architecture diagrams by defining architecture concepts, outlining the 4+1 and C4 view models, and offering practical guidance on choosing the right diagram type and audience to ensure effective communication and consistent, self‑describing designs.
This article explains system design fundamentals and shows how to use back‑of‑the‑envelope calculations to quickly estimate load, storage, cache, and bandwidth requirements, helping engineers make informed architectural decisions with simple math and practical examples.
This article outlines a comprehensive, step‑by‑step roadmap for preparing system design interviews, covering foundational concepts, interview templates, high‑level and detailed design choices, practical resources, mock interview platforms, and company‑specific tailoring to boost candidates' success.
This article defines technical architecture and outlines its design steps, using a series of illustrative diagrams to guide readers through the core concepts and practical workflow of building robust system structures.
This article presents a practical, standardized "technical solution communication language" that unifies architecture diagrams—from context and system architecture to deployment, domain/data models, sequence, state, concurrency, and data‑flow—helping engineers across C‑end, B‑end, big‑data, and AI systems communicate designs clearly and consistently.
This article explains the core functions of a short‑URL system, compares permanent (301) and temporary (302) redirects, details four generation methods—including hash, auto‑increment, random strings, and pre‑generation—and outlines a high‑concurrency architecture with sharding, caching, and Snowflake IDs.
This article introduces a systematic approach to creating clear, audience‑focused software architecture diagrams using the C4 model, explains the purpose of different diagram types, outlines common pitfalls, and provides concrete examples and tool recommendations to improve communication among developers, ops, and stakeholders.
This article presents an in‑depth analysis of the ZhiZhi checkout payment routing system, covering its historical evolution from basic configuration to rule‑engine and modular construction modes, detailing architecture, expression engine implementation, automatic anomaly detection, and future outlook for scalability and AI integration.
This article examines the evolution of a merchant batch processing system, detailing its transition from a centralized, tightly‑coupled architecture to a configurable, SPI‑based design and finally to a localized task‑reporting model, while discussing code reuse, scheduling strategies, isolation techniques, and performance challenges.
This article explains why AIGC services need queueing systems and rate‑limiting, describes the user‑facing behaviors of both mechanisms, outlines design goals, compares queue and limiter implementations, and provides practical guidance on selecting middleware, monitoring, and integrating them into a production workflow.
This article explains the concept of rate limiting in system design, covering its importance, common use cases, various types, popular algorithms such as token bucket and leaky bucket, implementation across different system layers, and the challenges associated with configuring and scaling rate‑limiting solutions.
This article walks through business, conceptual, logical, and physical modeling steps to design a recommendation system architecture, detailing value propositions, workflow decomposition, component breakdown, and technology choices to meet reliability, low‑latency, and scalability requirements.
This article presents ten practical techniques—including redundant deployment, circuit breaking, traffic shaping, auto‑scaling, gray releases, downgrade switches, full‑link stress testing, data sharding, chaos engineering, and three‑layer monitoring—to dramatically improve system high‑availability from 99% to 99.99% in production environments.
This comprehensive roadmap outlines the essential skills and tools—from AI assistants and data structures to testing frameworks, design patterns, cloud services, CI/CD pipelines, system design, performance tuning, and security practices—needed for aspiring full‑stack engineers to stand out in today’s competitive software industry.
This article explores the evolution, architecture, design preparation, processing flow, front‑end/back‑end considerations, configuration strategies, and diverse real‑world examples of checkout systems across medical, e‑commerce, entertainment, ETC, and gaming domains, highlighting how business needs shape payment experiences.
Designing distributed systems often falls prey to misconceptions such as assuming reliable networks, zero latency, unlimited bandwidth, inherent security, static topology, zero transmission cost, and full autonomy, but applying retries, idempotency, message queues, encryption, dynamic discovery, caching, and time protocols can mitigate these issues.
This article explains how to answer interview questions about designing high‑concurrency systems by outlining essential architectural techniques such as system decomposition, caching, message queues, database sharding, read‑write separation, and Elasticsearch, while emphasizing practical considerations and real‑world complexity.
This article shares a backend engineer's practical methodology for building systems that simultaneously achieve high performance, high concurrency, and high availability, covering performance optimization, scaling strategies, fault‑tolerance techniques, and real‑world case studies from B‑ and C‑side logistics platforms.
The author shares a candid half‑year reflection on entering computer‑science research, outlining practical steps for discovering research ideas, navigating papers, focusing on LLM serving systems, and emphasizing collaboration to help newcomers succeed in academia.
This article examines the principles of microservice decomposition and composition, analyzes the risks of improper service splitting such as communication overhead, dependency loops, and chaotic call chains, and offers concrete governance strategies to achieve a balanced, maintainable architecture.
This comprehensive guide explains how to design, build, and operate high‑availability systems by covering availability metrics, fault‑tolerance strategies, capacity planning, code and data layer architecture, automated testing, monitoring, and clear role responsibilities to ensure services stay reliable and resilient under load.
An in‑depth guide explains the CAP theorem’s three pillars—Consistency, Availability, Partition Tolerance—illustrates why only two can be achieved simultaneously, and shows real‑world trade‑offs across e‑commerce, finance, and social platforms, while introducing the complementary BASE model for practical system design.
China Railway’s 12306 trial of an automatic ticket‑ordering feature lets users pre‑select up to 60 trains, set priority and pre‑pay the highest fare for Spring Festival travel, with the system submitting orders automatically, handling refunds, and addressing priority sorting, scheduling, payment accuracy, and server load through extensive stress testing and a gray‑release strategy.
This comprehensive guide walks readers through the entire system design process, covering problem definition, key concepts, system analysis, modeling techniques, architectural thinking, design tools, requirements gathering, domain‑driven and use‑case modeling, design principles, patterns, and practical architecture delivery.
China Railway's 12306 pilot introduces an automatic ticket order submission system for Spring Festival travel, allowing users to pre‑fill up to 60 train options, set priorities, pre‑pay, and rely on backend scheduling and fairness mechanisms to improve ticket acquisition during peak demand.
The article explains why 24/7 high‑availability systems are essential for modern enterprises and details core design principles, layered architecture, and critical technologies such as redundancy, load balancing, caching, elastic scaling, monitoring, and fault‑tolerance to ensure continuous, reliable service.
This article outlines eight crucial strategies—including stateless services, horizontal scaling, load balancing, auto‑scaling, caching, database replication, sharding, and asynchronous processing—to help engineers design systems that handle growing traffic without sacrificing performance or reliability.
This article explains how to design and implement a high‑performance, scalable message notification system, covering service partitioning, system architecture, first‑time and retry message handling, idempotency, dynamic routing, thread‑pool management, stability measures such as traffic surge handling, resource isolation, monitoring, and elastic scaling.
This article explains the fundamentals of software design documentation, covering why modeling is essential, how UML diagrams such as class, sequence, component, deployment, use‑case, state and activity charts are used across requirement analysis, conceptual design, and detailed design phases, and how architects tailor documents for different stakeholders.
This article explains the fundamental concepts of software architecture and architecture diagrams, outlines what makes a good diagram, describes common pitfalls, and introduces the C4 modeling approach with concrete examples such as system context, container, component, and class diagrams, providing practical guidance for clear communication of system designs.
The article traces Bilibili’s customer‑service seat scheduling system from its initial balanced‑distribution algorithm and Redis‑based priority queues for live chat and ticket handling, through fairness‑focused saturation limits and virtual‑queue mechanisms, to planned dynamic tuning and expertise‑aware routing for future scalability.
This article shares a recent graduate's journey into backend development at JD, offering practical advice for newcomers, detailing a large‑scale system refactor using domain‑driven design, discussing the creation of an AI‑powered merchant assistant, and emphasizing continuous learning and professional growth.
The article traces software architecture from early distributed systems through monoliths, SOA, microservices and serverless, explaining why each paradigm arose, the trade‑offs they entail, and how to decide between monolith and microservices based on team size, expertise, organizational structure, and business needs.
The article describes a high‑efficiency, cross‑device real‑time troubleshooting system for live‑streaming services, covering its motivation, key monitoring, unified trace design, component evolution, data processing, storage, and visualization, and demonstrates how these measures dramatically improved issue‑resolution speed and system stability.
The article traces the evolution of an e‑commerce batch‑processing system—from an initial centralized workflow with reusable components, through a platform‑driven configuration and SPI registration, to a localized, asynchronous task‑reporting architecture employing priority queues and isolated thread pools—to balance flexibility, scalability, and operational risk.
Baidu Visual Search upgraded its PHP/HHVM stack to Golang, introduced a Backend‑For‑Frontend layer, refactored presentation and system modules with the GDP framework and ExGraph, and built comprehensive monitoring and self‑healing tools, delivering a modular, scalable, and stable AI‑driven search platform.
The article narrates the author’s 30‑year programming career and shares technical reflections on building business‑agnostic, configurable data platforms, covering batch, streaming, interactive computing, big‑data sharding, Spark, Flink, cloud migration, and the philosophy of software architecture.
This article outlines the step‑by‑step architectural evolution of JD's advertising platform, describing how the system progressed from a simple, tightly coupled codebase through context‑based designs to a domain‑driven, capability‑oriented architecture that improves extensibility, reuse, stability, and knowledge transfer.
This article explains the purpose, components, and relationships of UML deployment diagrams, illustrates a basic deployment example with client, web, application, and database nodes, and provides visual references while also promoting additional architecture resources from the author.
In this detailed live interview transcript, a senior engineer questions a recent graduate on topics ranging from Redis data structures and system design to Java concurrency, evaluates the candidate's answers, and provides career advice and hiring recommendations.
This article explains why architecture diagrams are essential for software engineers, introduces the seven most common UML diagram types, and provides practical guidance on selecting and applying each diagram during requirements analysis, high‑level design, and detailed design phases.
This article explores the evolution of software complexity and presents a comprehensive backend development methodology for building high‑performance, high‑concurrency, and highly available systems, covering performance optimization, read/write strategies, scaling techniques, fault isolation, and deployment practices with real‑world examples.
This article shares a backend‑centric methodology and practical experiences for constructing systems that simultaneously achieve high performance, high concurrency, and high availability, covering performance optimization, read/write strategies, scaling techniques, fault‑tolerance mechanisms, and deployment considerations.
This article shares a backend engineer’s comprehensive methodology and practical experiences for building systems that simultaneously achieve high performance, high concurrency, and high availability, covering performance optimization, caching strategies, scaling techniques, fault tolerance, and operational best practices across application, storage, and deployment layers.
The article explains interview cognition, outlines the core technical and non‑technical requirements that large‑scale companies look for, and offers practical advice on how candidates can prepare effectively for system design, coding, and soft‑skill assessments to increase their chances of success.
This article analyzes the complexities of payment business logic, breaking down the workflow into modules, outlining sequence diagrams, proposing data structures, and highlighting key technical challenges such as transaction management, locking, retry mechanisms, and settlement accuracy.
This comprehensive guide outlines the seven essential abilities—system design and modeling, broad and deep technical expertise, global and systemic thinking, effective communication and collaboration, project management, quality assurance with technical debt control, and innovative foresight—that together define a successful software architect.
This article analyzes real‑world search query characteristics, breaks down a typical search system architecture, classifies cacheable data, compares result‑level, intermediate‑value and multi‑layer caches, discusses update, prefetch and placement strategies, and highlights common pitfalls such as cache miss, consistency, and resource overhead.
This article presents a comprehensive collection of twenty essential C++ interview topics covering hash maps vs. maps, vector internals, red‑black trees, hashing, binary trees, smart pointers, LRU cache, memcpy, linked‑list operations, TCP/UDP differences, multithreading, process‑thread distinctions, MySQL indexing, Redis caching, locking mechanisms, async vs. sync, blocking vs. non‑blocking, and Bloom filters, each explained with key concepts and code examples.
This article explains the purpose and definition of software architecture, outlines various architectural layers such as business, application, technical, and data, introduces the 4+1 and C4 view models, and provides practical guidance on drawing clear, audience‑focused architecture diagrams.
Tencent engineers recommend nine classic computer‑science books—ranging from Hamming’s The Art of Doing Science and Engineering to Kleppmann’s Designing Data‑Intensive Applications and Bryant & O’Hallaron’s Computer Systems: A Programmer’s Perspective—to help software engineers deepen theory, improve practice, and gain fresh insights, with a giveaway for commenters.
This article walks through building a Python-based appointment elevator control system, covering platform setup, independent elevator design with detailed class implementations, a task‑oriented group‑control algorithm, and provides complete source code and diagrams for simulation and scheduling.
This article analyzes the complexities of payment system design, covering business background, modular process breakdown, sequence diagrams for pre‑payment, payment integration, post‑payment stages, and detailed structural design, while also highlighting related business components and practical implementation tips.
This article explores the benefits of short URLs, explains their redirection mechanics, compares hash‑based and auto‑increment generation methods, and presents a high‑throughput architecture using OpenResty, Redis, and MySQL to handle massive traffic while ensuring reliability and scalability.
The article outlines the design and implementation of a secure, highly available payment fund account system, explaining core concepts of accounts and double‑entry bookkeeping, detailing architecture using TDSQL sharding, and describing security measures such as STRIDE analysis, HMAC‑SHA256, idempotency, distributed transactions, and comprehensive auditing to ensure fund integrity under high concurrency.
The article distills the book “Software Method,” outlining a disciplined approach that starts with industry‑specific business modeling—defining vision, use‑case and sequence diagrams, and improvement patterns—then moves to precise requirements gathering, detailed analysis class diagrams, and finally design, emphasizing that true software value comes from meeting real demand.
This article explains the essential high‑availability design techniques for large‑scale internet systems, covering system splitting, decoupling, asynchronous processing, retry mechanisms, compensation, backup, multi‑active strategies, isolation, rate limiting, circuit breaking, and graceful degradation to ensure robust, scalable backend services.
This article explains ten core techniques—system splitting, decoupling, asynchrony, retry, compensation, backup, multi‑active strategies, isolation, rate limiting, circuit breaking, and degradation—that together enable robust, high‑availability architectures for modern backend services.
The article describes how a configuration‑checking tool was designed and built to automatically compare baseline business configuration data with the after‑sales system's settings, detect mismatches before use, and alert responsible testers, thereby reducing manual verification effort and preventing workflow disruptions.
This article explains how to turn software code from a cost into real product value by systematically modeling the business, identifying the target organization and its decision‑maker, defining a measurable vision, and writing precise, stakeholder‑driven requirements and use‑case specifications.
Understanding tight and loose coupling in system design, this article explains their trade‑offs, introduces a coupling degree metric based on graph theory, demonstrates calculations with example module dependencies, and discusses when each approach is preferable for performance, maintainability, and scalability.
This article explains how traffic governance—through circuit breaking, isolation, retry strategies, degradation, timeout handling, and rate limiting—keeps distributed systems highly available, performant, and scalable, using concrete examples, formulas, and best‑practice patterns for modern microservice architectures.
The article describes a unified front‑end observability platform that standardizes data‑point collection via a common SDK, automatically generates health and business dashboards, integrates real‑time monitoring and heatmaps, and has been adopted on 140 pages, delivering faster first‑screen loads, lower error and bounce rates, and higher conversion.
This article presents a comprehensive, step‑by‑step guide to building large‑scale backend systems—including microservice decomposition, CDN and cache layers, message queues, database sharding, read/write splitting, Elasticsearch search, distributed transaction handling, multithreaded data migration, and massive counting services—illustrated with real‑world examples and practical metrics.
This article explains the fundamental concepts of software architecture, defines what architecture diagrams are and their purposes, evaluates what makes a good diagram, introduces the C4 modeling approach with system context, container, component, and class diagrams, and provides practical case examples and reference resources.
These core principles—minimal dependency, weak dependency, distribution, rate limiting, degradable design, balanced risk, fault prevention and isolation, no single point of failure, self‑protection, automatic failover, and retry/idempotency/compensation—guide the design of highly available systems by reducing risk, ensuring redundancy, and protecting services at all layers.
This article explains the concept of high availability, defines the isolation principle, outlines its implementation across various layers, and presents concrete case studies—including vertical data‑center redesign, dual‑cluster Elasticsearch migration, traffic grouping, and hot‑cold data segregation—to illustrate how isolation improves system resilience.
This article provides a comprehensive overview of four major message queue systems—Kafka, RabbitMQ, RocketMQ, and ActiveMQ—covering their fundamentals, architectures, key concepts, advantages, disadvantages, and guidance for selecting the most suitable solution based on throughput, reliability, scalability, and use‑case requirements.
This article recounts how a volunteer registration platform was redesigned to meet extreme concurrency demands—handling up to 40k QPS and 20k TPS—by evaluating MySQL limits, adding Redis caching, integrating RocketMQ, applying fault‑recovery mechanisms, and iteratively optimizing through multiple load‑testing rounds.
