By manually modifying a few hundred lines and using an automated script, we transformed the multithreaded RocksDB storage engine into a coroutine‑based version with PhotonLibOS, achieving near‑identical functionality and, in heavy I/O and high‑concurrency scenarios, up to double the throughput compared to the original.
This article outlines the technical strategies and best practices for guaranteeing high‑quality user experiences during large‑scale mobile event rollouts, covering background, core guarantees, business characteristics, performance metrics, high‑concurrency handling, dynamic configuration, loading optimization, runtime safeguards, and monitoring.
This article outlines practical strategies for guaranteeing high‑concurrency, high‑flexibility, and stable performance of large‑scale mobile event pages, covering user experience goals, technical indicators, load and runtime optimizations, dynamic configuration, and monitoring to keep millions of users satisfied.
This curated collection presents technical insights on plugin-based frontend design, high‑concurrency architecture, modern 3D web development, Next.js innovations, React Three Fiber particle effects, functional programming perspectives, a face‑api.js virtual avatar demo, and Base64 encoding fundamentals.
This guide explains how to design, implement, and configure rate‑limiting solutions for high‑traffic flash‑sale scenarios, covering architecture goals, algorithm choices, single‑node vs distributed approaches, cloud‑native gateway settings, scaling with Kubernetes, and practical Go code examples.
This article details the end‑to‑end design of a coupon system for a rental listing platform, covering business flow, MySQL table schemas, activity lifecycle management, state‑machine and observer patterns, high‑concurrency claim handling with Redis and MQ, and future scalability optimizations.
This article examines the challenges of deploying dozens of deep‑learning models at Zuoyebang and compares three serving architectures—Gunicorn + Flask + Transformers, Tornado + PyTorch, and Tornado + Triton—highlighting performance trade‑offs and presenting a final high‑concurrency, low‑latency solution in production.
This article explains the core challenges of handling massive simultaneous requests and presents a comprehensive high‑concurrency architecture, covering infrastructure deployment, service‑side design, application‑level optimizations, clustering, database sharding, caching layers, message‑queue smoothing, service governance, resource isolation, and practical techniques such as multithreading and coroutine usage.
This comprehensive guide explains what Nginx is, its advantages, deployment scenarios, request processing, high‑concurrency mechanisms, proxy types, directory layout, configuration directives, cookie vs session, threading model, load‑balancing algorithms, rate limiting, health checks, compression, and practical examples for building robust, scalable web services.
Managing 20,000+ concurrent SQL queries requires moving beyond a single‑instance design; this guide explains why simple architectures fail, how to shard databases into multiple instances, route traffic using geographic hashing, and implement read‑write separation to sustain high read loads while keeping latency low.
JD-hotkey is a high‑performance backend framework that detects billions of hot keys daily, captures crawlers and hot items, and pushes them to service memory within milliseconds, dramatically reducing data‑layer load and boosting application performance.
This article presents a comprehensive analysis of flash‑sale (秒杀) system requirements, performance estimations, non‑functional constraints, and detailed architectural designs—including dynamic‑static separation, traffic layering, high‑availability, and stock‑deduction strategies—along with the key technologies needed to support million‑level concurrent traffic.
This article details the end‑to‑end design of a high‑traffic flash‑sale (秒杀) system, covering functional and non‑functional requirements, performance estimations, dynamic/static separation, traffic‑layer control, high‑availability strategies, inventory‑deduction methods, and the key technologies needed for a resilient, scalable backend.
This article details the architectural evolution of China Telecom's Tianyi Account gateway from its initial Zuul‑based 1.0 version through a Kong‑based 2.0 redesign to the high‑performance, multi‑language, hybrid‑deployment 3.0 architecture that now supports over 100 k QPS and 99.96% SLA.
This article explains how to build a high‑concurrency ticket‑seckill system that can handle one million users buying ten thousand tickets simultaneously by using distributed load‑balancing, Nginx weighted round‑robin, Go‑based HTTP services, Redis atomic stock deduction, and practical performance testing.
This article examines a high‑traffic video‑watching scenario, identifies database write bottlenecks, and presents four asynchronous solutions—thread‑pool, in‑memory queue with scheduled tasks, message‑queue, and Agent‑plus‑MQ—detailing their implementation steps, trade‑offs, and best‑practice guidelines.
The article examines the Chengdu COVID‑19 testing system failure, analyzes its root causes such as oversized MySQL tables and insufficient load handling, and then presents a step‑by‑step high‑concurrency roadmap—including single‑machine, service‑database separation, caching, load balancing, read/write splitting, sharding, hardware and DNS load balancing—to help backend developers design scalable systems.
This article analyzes the extreme traffic spikes of China's 12306 train ticket platform, detailing its distributed high‑concurrency architecture, load‑balancing strategies, inventory‑deduction techniques, and Go/Redis code examples that enable stable, oversell‑free ticket purchasing during peak holidays.
This article details the architecture, compression‑code generation strategies, database schema, high‑concurrency handling, and Java implementation of a short‑URL service capable of supporting hundreds of millions of short links, including code snippets and deployment considerations.
This article explores the architecture and implementation of a high‑concurrency ticket‑snatching system, covering load‑balancing strategies, Nginx weighted round‑robin configuration, Redis‑based inventory management, and Go code examples that together enable handling millions of simultaneous requests while preventing overselling and ensuring high availability.
Under high‑concurrency loads, massive TIME_WAIT TCP connections can exhaust local ports, causing “address already in use” errors; this article explains the root causes, impact on services, and practical mitigation strategies such as keep‑alive headers, socket reuse, and reducing the TIME_WAIT timeout.
This article presents a comprehensive design and implementation of a high‑concurrency train‑ticket flash‑sale system, covering distributed architecture, load‑balancing strategies, Nginx weighted round‑robin configuration, Go‑based services, Redis‑backed stock management, and performance testing results.
This article explains why high concurrency is a critical challenge for large‑scale internet systems and outlines the core architectural methods—vertical and horizontal scaling, distributed clusters, load balancing, caching, message queues, sharded databases, and microservices—to reliably handle massive simultaneous user requests.
This article explains how to build a high‑concurrency ticket‑seckill service that can handle millions of requests by combining distributed load‑balancing (OSPF, LVS, Nginx weighted round‑robin), a pre‑deduction stock strategy using local memory and Redis with Lua scripts, and a Go‑based HTTP server, and it demonstrates performance testing results.
This article presents a complete case study of building a high‑concurrency ticket‑booking service, covering system architecture, three‑layer load balancing (OSPF, LVS, Nginx), Nginx weighted round‑robin configuration, Go‑based request handling, Redis‑backed stock deduction, performance testing with ApacheBench, and practical lessons for preventing overselling and ensuring high availability.
This article explores the architecture, load‑balancing strategies, and Go‑based implementation of a high‑concurrency ticket‑sniping system that can handle millions of simultaneous requests while preventing overselling and ensuring high availability.
This article examines the historical development, distributed architecture, and high‑concurrency challenges of China’s 12306 railway ticketing platform, tracing its origins from early Unix‑based systems to modern multi‑layered backend solutions that support hundreds of millions of users during peak travel periods.
To overcome Go’s per‑connection goroutine memory and GC limits at massive scale, the article designs a three‑layer Reactor‑based network library that uses epoll/kqueue, lock‑protected file descriptors, zero‑copy buffers, and load‑balanced sub‑reactors, enabling stable operation with up to a million concurrent connections.
This article explains how Meituan's instant logistics platform evolved from a monolithic system to a highly available, scalable, and AI‑enhanced distributed architecture, detailing the technical challenges, architectural upgrades, fault‑tolerance strategies, and future scalability concerns.
This article explores why asynchronous processing is crucial for high‑concurrency scenarios and compares five practical solutions—including thread‑pool models, local memory with scheduled tasks, MQ patterns, and Agent‑plus‑MQ—to reduce write latency and improve system throughput.
This article presents a comprehensive solution for building an e‑commerce inventory system that prevents overselling under high concurrency by combining database transactions, Redis‑based stock deduction, idempotent anti‑repeat mechanisms, pipeline optimization, and a task‑engine driven eventual‑consistency architecture.
This article explains how to achieve high‑performance C10M concurrency by moving memory management, packet handling, and scheduling out of the kernel into user space, introduces coroutine concepts, demonstrates a producer‑consumer coroutine example, discusses coroutine stack implementations (stackful vs stackless), and outlines classic scheduling strategies.
This article explores the design of a high‑concurrency ticket‑spike system inspired by China’s 12306 platform, covering load‑balancing strategies, distributed stock deduction using Redis, Go‑based HTTP services, weighted round‑robin Nginx configuration, performance testing with ApacheBench, and practical architectural insights for handling millions of simultaneous requests.
This article explains the epoll interface, its underlying data structures, the three-step usage pattern, the differences between level‑triggered and edge‑triggered modes, the reactor model, and provides a complete C demo, helping developers efficiently handle millions of concurrent TCP connections on Linux.
This technical article explains how to handle millions of simultaneous train‑ticket purchase requests by combining Nginx weighted load balancing, local in‑memory stock deduction, and a centralized Redis stock counter using Go, ensuring no overselling, high availability, and efficient performance.
This article explains how to design and implement a high‑concurrency system for e‑commerce scenarios, covering server architecture, load balancing, database clustering, caching strategies, concurrency testing tools, message‑queue based async processing, first‑level cache, static data handling, layering, distribution, redundancy and automation, with concrete examples such as user sign‑in, order queries and red‑packet distribution.
This article explains how to design a high‑concurrency flash‑sale (秒杀) system by optimizing concurrent reads and writes, applying API and architecture principles, separating dynamic and static data, handling hot items, shaping traffic, improving performance, managing inventory reduction, and implementing robust fallback mechanisms for high availability.
This article explains how to replace the default embedded Tomcat container in SpringBoot with Undertow, compares their performance and memory usage through benchmark tests, and recommends Undertow for high‑concurrency Java web applications.
During the Chinese New Year campaign, Douyin integrated video creation with red packet gifting, supporting both B2C and C2C flows; this article details the system’s core operations, modular design, high‑traffic subsidy handling, concurrency strategies, fault tolerance, security measures, and comprehensive performance testing.
This article presents a comprehensive guide to designing high‑concurrency backend solutions, covering server architecture, load balancing, database clustering, caching layers, message queues, asynchronous processing, service‑oriented design, redundancy, and automation to ensure reliable performance under massive user traffic.
This article explains how to design robust technical architectures by applying strategic principles of suitability, simplicity, and evolution, alongside tactical guidelines for high concurrency, high availability, and business design, and illustrates the concepts with logical and physical architecture diagrams.
This comprehensive guide explains what Nginx is, its advantages, typical use cases, request handling, high‑concurrency model, forward and reverse proxy concepts, directory layout, key configuration directives, load‑balancing algorithms, rate limiting, health checks, gzip compression, and practical examples for virtual hosts and module management.
This article explains how WeChat engineered a high‑concurrency backend to support billions of shake‑to‑receive red‑packet requests during the Spring Festival Gala, detailing the prototype system, challenges, iterative solutions, and the final production version that processed over 110 billion shakes with peak loads of 14 million requests per second.
This article explains how to design and optimize a Java‑based online service that handles over 200,000 queries per second by avoiding relational databases, applying multi‑level caching, leveraging multithreading, using degradation and circuit‑breaker patterns, reducing I/O, managing retries, handling edge cases, and logging efficiently.
This article presents practical techniques for optimizing high‑concurrency online services—such as avoiding relational databases, employing multi‑level caching, leveraging multithreading, implementing circuit‑breaker patterns, reducing I/O, managing retries, handling edge cases, and logging efficiently—to maintain sub‑300 ms response times under massive load.
This article outlines practical strategies for handling high‑QPS backend services, including avoiding relational databases, employing multi‑level caching, leveraging multithreading, implementing degradation and circuit‑breaker mechanisms, optimizing I/O, using cautious retries, handling edge cases, and logging efficiently.
This article explains essential techniques for building high‑concurrency systems—including load balancing algorithms, microservice decomposition, caching strategies, database sharding, message‑queue integration, and CDN usage—to help engineers design scalable architectures and advance their careers.
ZRTC, the real‑time audio‑video platform behind 作业帮, has been refined for over three years to support massive, multi‑cloud, multi‑protocol live streaming, employing a unified SDK, intelligent scheduling, custom SFU services, and extensive performance tuning to achieve high concurrency, low latency, and robust high‑availability.
The article details the architecture, challenges, and solutions of ByteDance's wallet asset platform that unified reward issuance, display, and usage across eight applications during the 2022 Spring Festival, covering high‑traffic order processing, token‑based asynchronous settlement, budget control, stability mechanisms, and future evolution.
This article outlines practical techniques for handling ultra‑high‑traffic backend services—including abandoning relational databases, employing multi‑level caching, leveraging multithreading, applying degradation and circuit‑breaker patterns, optimizing I/O, using cautious retries, guarding boundary cases, and implementing efficient logging—to maintain sub‑300 ms response times at 200k+ QPS.
This tutorial explains how to improve high‑concurrency order processing by aggregating requests and using batch inserts with Swoole coroutines in PHP, illustrating the concept with elevator‑like logic and a complete code example.
This article outlines practical techniques for handling online services with QPS exceeding 200,000, including avoiding relational databases, employing multi‑level caching, leveraging multithreading, implementing degradation and circuit‑breaker patterns, optimizing I/O, using controlled retries, handling edge cases, and logging efficiently.
This article outlines practical techniques for optimizing high‑concurrency online services handling over 200 k QPS, covering the avoidance of relational databases, multi‑level caching, multithreading, circuit‑breaker and degradation strategies, I/O reduction, cautious retry policies, boundary checks, and efficient logging.
This article explains how technical architecture transforms product requirements into concrete systems, tackles uncertainty in technology choices, and presents strategic principles—fit, simplicity, evolution—alongside tactical guidelines for high concurrency, high availability, and business design, supported by logical and physical diagram examples.
This article outlines practical techniques for handling ultra‑high‑traffic online services—such as avoiding relational databases, employing multi‑level caches, leveraging multithreading, applying degradation and circuit‑breaker patterns, optimizing I/O, using retries wisely, handling edge cases, and logging efficiently—to keep response times under 300 ms.
This article explains how to design robust technical architectures by addressing strategic principles such as suitability, simplicity, and evolution, and tactical guidelines covering high concurrency, high availability, and business design, while illustrating logical and physical architecture diagrams for real‑world systems.
This article explains how to design a flash‑sale system that can handle instant massive traffic by using page staticization, CDN acceleration, caching strategies, distributed locks, message‑queue async processing, rate limiting, and inventory management techniques such as pre‑deduction, optimistic locking, and Lua scripts.
This article details the architecture, challenges, and solutions behind a high‑traffic Spring Festival shake‑and‑red‑packet system, covering prototype design, bandwidth and request‑rate handling, access clusters, overload protection, and iterative versions that achieved up to 110 billion shakes with peak loads of 14 million requests per second.
This article details the design and implementation of a self‑developed interactive live‑streaming platform that supports massive concurrent users and ultra‑low latency for online education, covering business scenarios, technical abstractions, key low‑latency and high‑concurrency techniques, and real‑world performance results.
This article explains the background, design principles, high‑concurrency handling, storage optimization, rule‑engine implementation, and intelligent scheduling needed to create a universal, stable, extensible, and intelligent recommendation slot that enriches short‑video app ecosystems.
This article examines real‑world load‑balancing implementations for ultra‑high traffic cases such as Alibaba's Double 11 shopping festival, China's 12306 railway ticketing system, WeChat's red‑packet service, and Douyin's Spring Festival gala, highlighting architectural principles, DPDK usage, ECMP routing, session synchronization, SET‑based sharding, and service‑mesh techniques.
This article shares experienced DBA insights on optimizing Chinese domestic databases, highlighting why traditional Oracle benchmark tweaks often fail, the limited value of buffer‑hit metrics, the importance of OS I/O tuning, SQL plan baselines, and handling high‑concurrency bottlenecks such as spinlock contention.
This article examines the problem of data inconsistency when writing to both a database and a cache, outlines four typical dual‑write strategies, analyzes their drawbacks in high‑concurrency scenarios, and recommends the most reliable approach—writing to the database first followed by cache deletion with retry mechanisms.
This article outlines essential architectural practices for high‑concurrency systems, covering load‑balancing strategies, distributed microservice design, caching mechanisms, database sharding, asynchronous message queues, and CDN usage to achieve scalable and resilient backend services.
This article recounts a hiring manager’s interview with a candidate lacking high‑concurrency experience, then outlines the candidate’s self‑driven three‑stage practice—single‑machine optimization, load‑balanced testing, and middleware integration—providing concrete steps for engineers to acquire high‑concurrency expertise.
The article details Meituan's five‑year journey building a high‑concurrency, AI‑enhanced instant logistics platform, describing its distributed architecture, scalability and reliability practices, fault‑tolerance mechanisms, and future challenges in microservice and unit‑based operations.
This article examines the challenges of maintaining consistency between databases and caches during high‑concurrency writes, compares four common update strategies, highlights their pitfalls, and recommends the most reliable approach with practical retry mechanisms.
This article explains Java NIO’s non‑blocking I/O model, compares it with traditional BIO, details zero‑copy techniques, and walks through core components such as Channel, Buffer, and Selector with concrete code examples and diagrams, then shows how Redis leverages I/O multiplexing for high performance.
The article details Meituan's five‑year journey in instant logistics, describing how distributed, high‑concurrency system architecture evolved through layered upgrades, microservices, fault‑tolerance mechanisms, AI‑driven optimization, and AIOps platforms to achieve scalability, low latency, high availability, and cost efficiency.
The article describes Meituan's five‑year journey in instant logistics, detailing how its distributed, high‑concurrency architecture has evolved through layered upgrades, micro‑service adoption, and AI integration to achieve low latency, high availability, cost efficiency, and scalability while addressing challenges such as massive order matching, peak traffic, data consistency, and fault tolerance.
This article systematically explains the relationships among high concurrency, high availability, performance, and scalability, defines their quantitative metrics, categorizes sources of change that affect system reliability, and outlines strategies for fault prediction, impact reduction, and rapid recovery in large‑scale services.
This article details Qunar's high‑concurrency flight pricing architecture, covering the origin of pricing data, two‑level caching design, a cache‑management system, CQRS‑based policy storage, data compression techniques, and performance improvements achieved through these optimizations.
This article details a practical reproduction of a large‑scale WeChat red‑packet service, describing the design goals, hardware and software setup, concurrency architecture, monitoring tools, and performance results that demonstrate a single‑machine handling one million connections and up to sixty thousand queries per second.
This article examines the role of caching in high‑concurrency distributed systems, outlining its benefits and costs, various update policies such as LRU/LFU/FIFO, timeout eviction, active refresh, and advanced techniques like cache penetration protection, no‑hole, avalanche, and hot‑key mitigation.
The article details how JD Retail Technology tackled the Spring Festival Gala red‑envelope challenge by leveraging a highly elastic cloud platform, PaaS architecture, real‑time data analytics, and sophisticated risk‑control mechanisms to handle unprecedented traffic without adding new hardware, offering valuable insights for large‑scale retail operations.
This article details Meituan's five‑year journey building a high‑availability, low‑latency instant logistics platform, covering distributed system evolution, AI‑driven optimization, fault‑tolerance techniques, and future challenges in scaling micro‑services and AIOps.
This article explains how to design a flexible, extensible database schema and login flow for a system with a billion users, covering multi‑credential handling, sharding strategies, hash‑based routing, and practical considerations such as password updates and caching.
The article describes Meituan's five‑year journey in instant logistics, detailing the challenges of massive order‑rider matching, high traffic spikes, ultra‑low latency requirements, and how a layered, micro‑service‑based distributed architecture combined with AI techniques was progressively adopted to achieve scalability, reliability, and cost efficiency.
This article examines flash‑sale business scenarios, outlines their high‑concurrency characteristics, dissects the request‑flow architecture from client to database, and compares optimistic, retry‑optimistic, and pessimistic locking techniques with practical examples and performance considerations.
This article details the design, implementation, and performance testing of a scalable red‑envelope service capable of handling up to 100 billion requests, supporting 1 million concurrent users per server, achieving peak QPS of 60 k, and outlines hardware, software, and monitoring strategies.
This article examines flash‑sale systems by outlining typical business scenarios, analyzing read‑heavy and high‑concurrency technical traits, detailing the end‑to‑end request flow, and comparing optimistic, retry‑optimistic, and pessimistic locking mechanisms with practical SQL examples and performance tables.
This article explains the key concepts, simple design, practical steps, and multiple solution patterns—including front‑end scaling, cache‑based concurrency control, and database handling—used to build a reliable high‑traffic flash‑sale system.
This article walks through the design and practical implementation of a high‑throughput red‑envelope service capable of handling 10 billion requests, covering target load calculations, hardware and software choices, client‑server coordination, performance testing, monitoring, and key takeaways for building scalable backend systems.
This article explains how technical architecture transforms product requirements into implementation by addressing layering, language choices, and non‑functional concerns, and introduces strategic principles of suitability, simplicity, and evolution along with tactical guidelines for high concurrency, high availability, and business design.
This article explains how to design and implement a high‑concurrency ticket‑seckill system by analyzing the 12306 architecture, introducing multi‑layer load balancing, demonstrating Nginx weighted round‑robin configuration, and providing Go and Redis code to achieve stable, low‑latency ticket purchasing under massive simultaneous requests.
This article examines the role of caching in high‑concurrency distributed systems, outlining its performance benefits and associated costs, and detailing various cache‑update strategies—including LRU/LFU/FIFO, expiration, active refresh, Bloom‑filter protection, and solutions for penetration, avalanche, hot‑key rebuild, and the “no‑bottom‑hole” problem.
This article details a practical backend engineering experiment that reproduces the massive load of 100 billion WeChat red‑packet requests by simulating one million concurrent users on a single machine, covering target metrics, hardware/software choices, architecture, implementation steps, performance testing, and analysis of the results.
This article details the design, goals, hardware and software choices, implementation techniques, performance testing phases, and analysis of a prototype backend capable of handling one million concurrent connections and up to 60 k QPS to simulate the massive load of ten billion WeChat red‑envelope requests.
This article presents a comprehensive guide to building high‑concurrency systems for e‑commerce, covering server architecture, load balancing, database clustering, caching strategies, concurrency testing tools, message‑queue based solutions, first‑level caches, static data handling, layered and distributed designs, as well as redundancy and automation practices.
This article explains how to design and evolve a high‑concurrency server architecture for e‑commerce applications, covering load balancing, database clustering, NoSQL caching, CDN static assets, message‑queue based asynchronous processing, tiered caching, service‑oriented decomposition, redundancy, and automation to ensure reliable performance under massive traffic spikes.
This article details a practical backend design and stress‑test that simulates 1 million concurrent users handling 100 billion WeChat red‑packet requests, covering load calculations, Go‑based implementation, QPS targets, monitoring, and performance analysis.
This article explains how to design robust backend technical architectures by addressing strategic principles such as suitability, simplicity, and evolution, and tactical guidelines covering high concurrency, high availability, and business design, while illustrating logical and physical architecture diagrams and practical implementation tips.
The article details Vivo’s push notification platform, describing its evolution from cloud‑based beginnings to a self‑built, three‑region architecture that supports over 1 million concurrent connections, billions of daily messages, and incorporates optimizations such as adaptive heartbeats, advanced load‑balancing, distributed caching, multi‑layer rate limiting, circuit‑breaker mechanisms, and comprehensive content security.
The article explains what a flash‑sale (秒杀) is, outlines the severe technical challenges it creates for e‑commerce platforms such as massive concurrent traffic, database load and bandwidth spikes, and then presents concrete backend strategies and architectural designs to handle these issues efficiently.
This article explains how to transform product requirements into robust technical architectures by addressing uncertainty through strategic principles—suitability, simplicity, evolution—and tactical guidelines covering high concurrency, high availability, and business design, illustrated with logical and physical diagrams.
This article analyzes the challenges of building a flash‑sale system—such as overselling, massive concurrent requests, URL exposure, and database strain—and presents a comprehensive backend design that includes separate databases, dynamic URLs, Redis clustering, Nginx load balancing, rate‑limiting, asynchronous order processing, and service degradation strategies.
This article explores how to transform product requirements into robust technical architectures by addressing uncertainty, outlining strategic principles—appropriateness, simplicity, evolution—and tactical guidelines for high concurrency, high availability, and business design, while illustrating logical and physical architecture diagrams.
This article examines the core challenges of flash‑sale (秒杀) systems—such as overselling, extreme concurrency, bot traffic, and database strain—and presents a comprehensive backend design that includes dedicated databases, dynamic URLs, static pages, Redis clustering, Nginx load balancing, SQL optimization, rate‑limiting, asynchronous order queues, and service degradation strategies.
This article examines the challenges of flash‑sale (秒杀) systems—such as overselling, massive concurrency, URL exposure, and database strain—and presents a comprehensive backend design that includes dedicated databases, dynamic URLs, static page generation, Redis clustering, Nginx load balancing, SQL optimization, rate‑limiting, asynchronous order processing, and service degradation strategies.
This article explains how to design a stable and high‑performing software architecture by addressing uncertainty through strategic principles—fit, simplicity, evolution—and tactical guidelines covering high concurrency, high availability, and business design, while illustrating logical and physical architecture diagrams.
