The article argues that the AI era collapses the old decision‑making paradigm, urging people to become system designers who let AI execute and iterate rapidly, illustrated by examples of independent creators who replace judgment with rule‑based automation and embrace low‑cost, high‑volume experimentation.
This article examines eighteen concrete production systems—from URL shorteners and Amazon S3 to YouTube, Stripe, Slack, and ChatGPT—showing how their design choices illustrate core concepts such as sharding, caching, idempotency, real‑time messaging, and large‑scale engineering, providing a practical roadmap for software engineers.
The article analyzes why AI agents often fail in production, identifies the Harness as the critical system layer, outlines a five‑module architecture (Environment, Tool, Control, Memory, Evaluation), and presents five engineering principles to build stable, observable, production‑ready AI agent runtimes.
This article analyses the real‑world pain points of long‑running AI agents, breaks down OpenClaw’s core concepts, explains its three‑layer context‑compression pipeline, presents four key engineering decisions, shares six practical techniques with essential parameters, and compares OpenClaw to competing approaches.
The article outlines a three‑layer capability model for test developers—technical depth, structured expression, and system design—explaining how each layer builds on the previous one, how to assess your current level, and practical ways to train toward higher impact roles.
With AI coding assistants now capable of completing complex engineering tasks and many traditional programmer roles declining, the article analyzes industry data, evolving development workflows, and the new system‑design focus required for engineers, concluding that learning to program remains valuable when approached differently.
Choosing how to pass context between agents determines system stability, token cost, and debugging difficulty; the article defines context, categorizes four context types, and evaluates four main strategies—shared state, message passing, context compression, and hierarchical routing—detailing mechanisms, use‑cases, implementation pitfalls, and cost‑effectiveness trade‑offs.
This article explains how Claude Code’s Prompt Caching technique dramatically reduces latency and cost for long‑running AI agents, and shares five hard‑won engineering practices—including prompt layout, message‑based updates, avoiding mid‑conversation model or tool changes, and safe context forking—to help developers build efficient, cache‑friendly AI applications.
The article explains how OpenClaw’s control plane guarantees reliable, idempotent, and observable agent execution by enforcing a two‑phase protocol, strict handshake, role‑based authorization, layered deduplication, gap‑recovery mechanisms, and schema‑driven validation, turning a simple message flow into a production‑grade job system.
This article walks product managers through the end‑to‑end design of a Retrieval‑Augmented Generation (RAG) intelligent‑customer‑service system, covering business value, knowledge‑base preparation, hybrid retrieval, prompt‑driven generation, deployment choices, monitoring metrics, and common methodological pitfalls.
The article reviews the newly released GLM-5 model, highlighting its ability to generate end‑to‑end system designs, write and debug backend code, and solve large‑scale engineering problems through detailed prompts, positioning it alongside GPT‑5.3 and Claude Opus in the competitive LLM landscape.
This article explains why microservices, while attractive for large systems, introduce hidden costs, operational complexity, network latency, data management challenges, and testing difficulties, and provides a decision framework to determine when a monolith‑first approach is more appropriate.
The article explores structural thinking as the core mindset of software engineers, breaking it into three levels—conception, insight, and understanding—while emphasizing runtime and evolutionary structures for managing complexity, enabling collaboration, and sustaining long-term system health.
To support HuoLala’s massive driver workflow, the team designed a platform‑wide Todo Center that standardizes tasks, optimizes performance, decouples services, and ensures strong and eventual consistency, while employing traffic‑shaping, asynchronous processing, and robust monitoring to sustain billions of daily queries with low latency.
An interviewee’s instinct to simply add more RocketMQ consumers for a backlog of 100 million messages sounds plausible but fails to address root causes; the article breaks down why this quick fix is insufficient and outlines a multi‑stage, systematic approach—from emergency mitigation to root‑cause analysis and long‑term prevention—to handle massive message queues effectively.
This article breaks down the interview‑level system design of a WeChat‑style step leaderboard that must support over a billion users, handling massive write spikes, low‑latency friend ranking queries, storage scaling, and relationship complexity with a three‑part architecture using MQ, Redis, and MySQL.
This article examines how business scale and system boundaries evolve, explaining when hooks are optimal, why they become problematic, and how to transition smoothly to event‑driven architectures with concrete examples, signals, and a step‑by‑step migration path.
The article reveals how system‑design interview candidates often rely on memorized patterns without understanding underlying trade‑offs, and shows how probing failure scenarios, questioning assumptions, and quantifying metrics can transform interview performance from rote diagrams to rigorous, data‑driven reasoning.
This guide explains how to create clear software architecture diagrams by defining architecture concepts, comparing the 4+1 and C4 view models, and offering practical advice on choosing diagram types, tailoring them to audiences, and using visual elements to convey system structure effectively.
This article breaks down the core concerns interviewers have for senior Go engineers—system stability, middleware pitfalls, Redis risk isolation, message‑queue buffering, distributed consistency, configuration management, ID design, and avalanche prevention—offering concrete insights and practical interview answers.
This article dissects the core architecture of a miniature ride‑hailing platform, covering domain‑driven design, layered microservice structure, Redis GEO for fast location queries, distributed locking, Netty‑based real‑time messaging, and hot‑cold data separation to handle massive traffic and ensure reliability.
This article explains the unique challenges of flash‑sale systems—massive, short‑lived traffic spikes—and presents practical backend optimizations such as front‑end request filtering, Redis‑based atomic counters, streaming queues, safe database updates, and unit‑level isolation for global deployments.
This article examines the challenges of implementing payment functionality in business systems, breaking down the process into detailed steps, outlining sequence diagrams, proposing a data structure design, and discussing related e‑commerce components such as product and coupon management to ensure reliable, scalable transactions.
This comprehensive guide walks you through the core challenges of high‑concurrency flash‑sale systems and presents a layered architecture with design principles, Redis caching, message‑queue integration, MySQL persistence, Lua scripting, monitoring, stress‑testing, anti‑fraud measures, and practical deliverables for a production‑ready implementation.
This article explains a flash‑sale system architecture from seven dimensions—including Nginx + CDN, routing with Redis, MQ clustering, business logic, read‑write‑separated databases, security controls, and page‑level optimizations—while providing concrete Nginx configs, Redis lock strategies, and database transaction tips to handle massive concurrent requests.
This article explains how to design a high‑concurrency ticket‑spike service that can handle millions of requests by using multi‑layer load balancing, Nginx weighted round‑robin, local stock caching, and atomic Redis operations, complete with Go code examples and performance testing.
The article presents a four‑layer thinking model—Tools, Techniques, Principles, and Way—that guides architects in selecting appropriate technologies, applying disciplined methods, making strategic architectural decisions, and understanding business fundamentals and industry trends to evolve from technical experts to strategic partners.
Ensuring that messages never disappear in a distributed MQ system requires a three‑pronged strategy covering production, storage, and consumption, with proper ACK configurations, local message tables, replication settings, and manual offset commits to achieve reliable, at‑least‑once processing without data loss.
This article walks through the complete system‑design process for a Douyin‑style video leaderboard, covering requirement analysis, functional and non‑functional specs, scale estimation, single‑machine baseline, fault‑tolerance, sharding, time‑window handling with a double‑pointer method, and caching strategies to achieve low latency, high throughput, and precise results at massive scale.
This article explains why clear architecture diagrams are essential, defines system architecture, outlines various diagram types—including business, application, technical, and data architectures—and introduces the 4+1 view model and C4 model with guidance on audience, visual elements, and best‑practice design.
After years of hype, many leading firms such as Amazon, Alibaba, and Google are reverting to monolithic architectures, exposing the hidden operational, performance, and maintenance costs of microservices and highlighting when a single, well‑structured codebase can be more efficient and manageable.
This article explains how to create clear software architecture diagrams by defining architecture, outlining business, application, technical, and data layers, and comparing the 4+1 and C4 view models, while emphasizing audience‑focused design, consistent visual elements, and practical tips for effective diagramming.
This article presents a comprehensive guide to essential system‑design concepts—including client‑server architecture, IP addressing, DNS, proxies, latency, HTTP/HTTPS, APIs, REST, GraphQL, databases, scaling, caching, microservices, message queues, rate limiting, API gateways, and more—illustrated with Spring Boot 3 examples and diagrams.
This article walks through the end‑to‑end system design of a TikTok‑style video leaderboard, covering functional and non‑functional requirements, traffic estimation, single‑node prototypes, fault‑tolerant replication, sharding, elastic partitioning, sliding‑window counters, and caching strategies to achieve low‑latency, high‑throughput ranking at massive scale.
This article presents ten essential SRE interview questions covering process priority, shell variable persistence, TTD/TTR metrics, system design for LinkedIn and Twitter, load‑balancing strategies, conflict handling, REST API usage, and log‑parsing code, each with detailed explanations and practical examples.
Designing high‑traffic, high‑concurrency systems requires careful planning across architecture, client optimization, CDN usage, clustering, caching, database tuning, and service governance, with principles such as statelessness, modularity, and fault‑tolerance to ensure scalability, reliability, and maintainability.
Designing a real‑time step leaderboard for billions of users requires tackling massive write spikes, fast friend‑based queries, scalable storage, and high availability; this guide outlines a three‑step architecture using asynchronous message queues, Redis ZSETs, and MySQL sharding to meet those challenges.
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.
