The article explains how MySQL Router 8.2 automatically splits read and write traffic in an InnoDB ReplicaSet, routing reads to asynchronous replicas and writes to the primary, providing performance, scalability, and simplified management without any application‑level changes.
This guide outlines a comprehensive, automated strategy for operating more than ten thousand network devices, covering asset documentation, topology planning, unified monitoring, automation scripts, emergency response, security management, regular maintenance, staff training, and visual management tools.
This article explains why sharding is needed for high‑traffic databases, outlines vertical and horizontal partitioning, and compares three popular sharding middleware—ShardingSphere, MyCAT, and Vitess—detailing their architectures, advantages, and ideal use cases to help engineers select the right solution.
This article objectively compares NewSQL distributed databases with traditional middleware‑based sharding solutions, examining their architectures, transaction models, scalability, high‑availability mechanisms, storage engines, maturity, and offering a decision framework to help engineers choose the most suitable approach for their workloads.
This article provides a comprehensive overview of object storage, covering its origins, historical development, fundamental operations, key advantages over block and file storage, major application scenarios, and predicted future trends in cloud and big‑data environments.
Redis is a high‑performance, in‑memory NoSQL key‑value store offering persistence, rich data types, advanced structures, and robust commands, supporting caching, session storage, pub/sub, and leaderboards, while evolving through replication, Sentinel, clustering, and multithreaded proxies, with Tencent Cloud providing scalable, highly available managed Redis services.
This case study details how ShiHuo, an e‑commerce recommendation platform, overcame rapid product growth, cluster instability, and high operational overhead by adopting Alibaba Cloud’s fully managed Milvus vector search service, achieving higher performance, better availability, and reduced management costs.
Bilibili’s one‑stop Big Data Cluster Management Platform (BMR) consolidates HDFS, Spark, Flink, ClickHouse, Kafka and other services into a unified system that evolved through four stages—standardization, metadata‑driven construction, containerization, and observability—addressing node consistency, scaling, fault self‑healing, and resource optimization while delivering elastic scaling, automated start/stop, and future cost‑saving and stability enhancements.
This article details Uber's Docstore distributed database challenges and explains the design, architecture, and implementation of CacheFront—a transparent, high‑performance caching layer that reduces latency, improves scalability, and maintains strong consistency across microservices.
This article explains why organizations may replace traditional relational databases with Apache Kafka as a system of record, highlighting Kafka's economic, scalable, immutable log capabilities, event replay, flexibility for diverse use cases, and its suitability for highly regulated, data‑intensive environments.
This article details how Bilibili's Membership Store tackled massive traffic spikes by optimizing call chains, introducing asynchronous order processing, and implementing a sharding strategy that split databases and tables, ultimately achieving over 4000 TPS and stable performance during large‑scale promotions.
This article outlines the architecture, evolution stages, functional requirements, non‑functional requirements, and component design of a scalable enterprise‑level unified push service that supports multi‑channel notifications such as email, SMS, chat, and mobile push, while addressing high performance, availability, and extensibility.
This article presents a comprehensive case study of TiDB deployment at Beijing Shunfeng Tongcheng Technology, covering application scenarios, TiDB features, detailed performance benchmarks, operational challenges, optimization techniques, ecosystem tools, and best‑practice recommendations for large‑scale distributed database management.
This article presents the design concepts, transaction flow, core components, and practical experience of building a scalable e‑commerce payment architecture, illustrated with detailed diagrams of transaction sequencing, system modules, and operational considerations for high‑traffic sales events.
This article presents the design, challenges, and performance‑focused optimizations of REDgraph, a large‑scale graph database used at Xiaohongshu, detailing its architecture, edge‑partitioning strategy, distributed parallel query implementation, and experimental results that demonstrate significant latency reductions for multi‑hop queries.
This article shares a practical case study on how a coupon‑distribution system evolved from a single‑table design to a sharded, multi‑database architecture with query optimization, ElasticSearch integration, and read/write splitting to handle growing data volume, complex queries, and increasing request traffic.
This article details the evolution of Tencent News from a portal‑style content display to a personalized recommendation engine, describing the legacy architecture problems, the design goals, the new modular and scalable architecture, feature platform improvements, debugging tools, and stability measures that together increased availability to 99.99% and cut costs by over 60%.
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 Kafka's role as a high‑throughput distributed message queue, detailing its core components, topic‑partition model, consumer groups, storage mechanisms, fault‑tolerance features, delivery guarantees, ZooKeeper coordination, and scalability strategies for building reliable real‑time data pipelines.
This article outlines key design principles—scalability, availability, flexibility, and security—for modern data center networks, compares fabric, overlay, spine‑leaf, and BGP EVPN architectures, and discusses emerging trends such as high‑bandwidth, heterogeneous compute clusters and intelligent, cost‑effective operations.
This article recounts the technical and organizational challenges of building Tencent WeSee's 2020 Spring video red‑packet system, detailing high‑traffic spikes, consistency and security demands, TRPC adoption risks, performance bottlenecks, and the 33 robustness principles that guided the subsequent architecture overhaul.
This article outlines six fundamental microservice splitting principles—including single responsibility, appropriate granularity, interface segregation, product impact avoidance, scalability, and fault tolerance—to help architects design maintainable, decoupled, and resilient services.
This article explains database sharding concepts, reasons for using it, various sharding strategies, and demonstrates implementation with ShardingSphere, including configuration and Java code examples, while also offering additional resources for advanced architecture and interview preparation.
This article explains what cloud‑native databases are, outlines their key characteristics such as containerization, microservice architecture, elastic scaling, and automation, lists major cloud‑native database offerings, and describes common application scenarios for modern cloud environments.
Traditional PHP architectures suffer from single‑threaded request handling that slows page loads on high‑traffic e‑commerce sites, whereas Node.js’s asynchronous, non‑blocking I/O and event‑driven architecture provide faster loading, superior scalability, and real‑time capabilities, making it a better fit for platforms like Amazon.
This article explains the motivation, architecture, resource estimation, code generation algorithms, data modeling, database partitioning, caching strategies, and implementation details for building a scalable short URL system that handles billions of links and high QPS workloads.
The article explains how platform engineering, as an evolution of DevOps, aims to reduce developers' cognitive load by providing integrated, user‑friendly tools and workflows, discusses real‑world practices such as ByteDance's CI/CD pipeline, and outlines future trends toward process‑orientation, intelligence, and scalability.
This article objectively compares NewSQL distributed databases with traditional middleware‑based sharding solutions, examining their architectures, distributed transaction support, high availability, scaling, storage engines, SQL capabilities, maturity, and suitability for various workloads, to help architects decide which approach best fits their needs.
This article analyzes the challenges and solutions for constructing a super‑large GPU training cluster, outlining five fundamental design principles, a four‑layer plus one‑domain architecture, and practical considerations for hardware, networking, and operational reliability in AI workloads.
Joining Tencent in 2011, the author recounts building the Weibo mobile backend, pioneering location-based services with grid indexing, evolving microservice frameworks like TAF, handling massive traffic and early avalanche failures, and reflecting on the rapid rise of smartphones and competitive dynamics with WeChat.
This article analyzes the architectural upgrades required for ultra‑large AI clusters, covering single‑GPU performance, super‑node scaling, DPU‑based heterogeneous computing, power‑efficiency, high‑throughput storage, and robust high‑speed networking to support trillion‑parameter model training and inference.
This article outlines the fundamental design principles for data center networks—scalability, availability, flexibility, and security—and examines key architectures such as Fabric, Overlay, Spine‑Leaf, and BGP EVPN, while also highlighting emerging trends toward higher bandwidth, dense compute, cost efficiency, and intelligent operations.
This article objectively compares NewSQL databases with middleware‑based sharding solutions, examining their architectural differences, transaction handling, scalability, high‑availability mechanisms, storage engines, and maturity to help readers decide which approach best fits their specific workload and business requirements.
This article systematically examines seven typical cache problems—penetration, breakdown, avalanche, data inconsistency, big‑key, hot‑key, and low hit rate—explaining their root causes, illustrating concrete scenarios with diagrams and code, and presenting step‑by‑step mitigation techniques such as parameter validation, Bloom filters, locking, auto‑renewal, random expirations, high‑availability setups, and cache warm‑up.
In today's digital era, Laravel queues enable backend applications to offload time‑consuming tasks, improve performance, enhance scalability, and deliver a smooth, responsive user experience, making them an essential tool for modern web development.
This article explains the concept of high availability, introduces the dispersal principle, demonstrates its application in microservice architectures and distributed storage, and outlines the benefits such as improved reliability, scalability, fault tolerance, and reduced single‑point failures.
This article objectively compares NewSQL databases and middleware‑plus‑sharding architectures, examining their core principles, distributed transaction handling, high‑availability mechanisms, scaling and sharding strategies, SQL support, storage engines, and maturity to help engineers decide which solution fits their workload.
This article explains what microservices are, outlines their advantages and disadvantages, compares them with monolithic architectures, and provides practical guidance on when and how to adopt a microservice approach for scalable, maintainable backend systems.
This article compares traditional three‑tier data‑center networking with modern spine‑leaf IP Fabric architectures, highlighting differences in bandwidth, availability, scalability, security, convergence time, multi‑tenant support, ECMP routing, configuration complexity, automation, and cost to help engineers choose the optimal design.
This article narrates how McDonald’s food‑delivery platform uses a hexagonal, event‑driven, micro‑service architecture with serverless functions, message brokers, and schema registries to achieve massive scalability, low latency, and reliable order processing for millions of daily users.
This article explains cloud‑native architecture, covering its definition, core concepts such as microservices, containerization, automation, storage, networking, and the guiding principles of service orientation, elastic scaling, and observability that together enable highly available, scalable, and agile applications.
This article explains the design and implementation of ROR (Redis‑On‑Rocks), a Redis extension that adds hot‑cold data swapping using RocksDB to dramatically reduce memory costs, improve performance, and remain compatible with Redis commands, while detailing benchmarks, concurrency control, and future roadmap.
Building a scalable backend requires a distributed architecture complemented by caching, optimized database queries, robust monitoring, message queues, load balancing, horizontal scaling with containers, CDN integration, auto‑scaling, and a microservices design to ensure performance, reliability, and seamless growth under increasing demand.
This article objectively compares middleware‑based sharding with modern NewSQL distributed databases, examining their architectural differences, performance, transaction support, scalability, high‑availability, and operational considerations, to help practitioners decide which approach best fits their workload and organizational constraints.
This article details the migration of a popular social app's private‑message service from a saturated MySQL cluster to PolarDB, covering business challenges, evaluation of storage‑optimization, vertical and horizontal scaling, the chosen distributed database solution, step‑by‑step offline and online migration procedures, and the resulting performance and cost benefits.
This article details Huolala's journey from manual, resource‑intensive full‑link load testing to a fully automated, model‑driven platform that improves peak‑capacity verification, reduces testing time and manpower, ensures safety through circuit‑breaker mechanisms, and delivers measurable cost and performance gains.
This article systematically outlines the requirements, evolution stages, functional and non‑functional specifications, and component design of a scalable, high‑availability enterprise notification platform that supports multi‑channel push (email, SMS, chat, WeChat, DingTalk, etc.) through a microservice‑based architecture.
The article objectively compares NewSQL distributed databases with traditional middleware‑based sharding solutions, examining their architectural differences, distributed transaction support, performance, scalability, high‑availability mechanisms, storage engines, and practical suitability for various application scenarios.
Despite perceptions of PHP as outdated, this article explains why its flexibility, strong community, performance improvements in PHP 8.1, rapid deployment, scalability, and clean-code frameworks like Laravel make it a practical and efficient backend solution for web development in 2024, while noting cases where other languages may be preferable.
This article explains the role, core functions, design principles, and key considerations of API gateways in microservice architectures, compares popular gateway solutions, and provides guidance on achieving high performance, high availability, and scalability while ensuring security and operational efficiency.
This article presents a comprehensive analysis of the ZhaiZhai financial system's growing data volume and slow‑query issues, evaluates four storage solutions—including sharding, hot‑cold separation, TiDB, and OceanBase—selects TiDB as the optimal choice, and details the migration steps and Elasticsearch integration to improve performance and scalability.
This article explains why performance optimization is essential for growing systems, introduces key metrics such as response time and concurrency, outlines systematic thinking and concrete techniques—including caching, parallelism, and async processing—and demonstrates a live‑streaming case study with actionable solutions.
Deploying large language models demands massive compute, flexible scaling, and robust resource management, and this article explains how Kubernetes’s auto‑scaling, portability, cloud‑native features, observability tools, and multi‑tenant isolation make it the optimal platform for training, serving, and iterating LLM workloads.
In 2023, leading tech companies like Google and Amazon publicly criticized the microservices model, presenting new architectural approaches that combine logical monoliths with automated runtimes, dramatically cutting latency and cost while prompting many other firms to abandon microservices in favor of simpler, more efficient monolithic designs.
This article outlines fundamental design principles for data center networks—scalability, availability, flexibility, and security—and examines modern topologies such as Fabric with M‑LAG, Overlay, Spine‑Leaf, and BGP‑EVPN, while also highlighting emerging trends like high‑bandwidth SDN, heterogeneous compute clusters, and intelligent, cost‑effective operations.
Redis is widely known as a high‑performance cache, but its rich data structures, persistence options, and distributed features enable it to serve as a primary storage engine for many internet services, from user profiles and leaderboards to rate limiting, messaging, and geo‑location, while presenting scalability and reliability challenges.
This article explains what distributed databases are, outlines their four key characteristics—high performance, scalability, high availability, and data consistency—and reviews five prominent systems (OceanBase, TDSQL, Google Spanner, CockroachDB, and TiDB) that illustrate these concepts in real‑world applications.
This article presents a comprehensive backend design for an online movie ticketing platform, covering functional and non‑functional requirements, capacity planning, API definitions, database schema, service architecture, concurrency control, fault tolerance, and data partitioning to ensure high availability and scalability.
This article explains how Tubi monitors the quality of its recommendation system by identifying potential failure points, tracking key data streams such as model input, final recommendation output, and training data, and designing a scalable, real‑time monitoring solution with clear protocols and extensible metrics.
The article details Meituan’s evolution of KV storage, analyzes scalability and availability challenges of both in‑memory (Squirrel) and persistent (Cellar) systems, and presents concrete architectural solutions such as gossip optimization, fork‑less RDB, multi‑threading, bulkload, and cross‑region disaster recovery, while outlining future directions like Zookeeper removal and vector engine support.
This article analyzes the security, usability, performance, and scalability requirements of Java image captchas and proposes a technical solution covering generation, verification, and optimization to build a safe, efficient, and user‑friendly validation mechanism.
This article details how a Twitter recommendation engine was refactored over three months to improve stability, introduce scalable tooling, redesign material storage and read‑status services, and ultimately raise availability from under 99% to over 99.9% while cutting latency and resource usage.
This article compares RabbitMQ and Apache Kafka across architecture, message ordering, routing, timing, retention, fault handling, scalability, and consumer complexity, and provides guidance on which platform suits specific use‑cases such as flexible routing, strict ordering, long‑term retention, or high throughput.
Despite early hype that serverless computing would usher a new era of scalable, cost‑effective applications, this article examines its historical roots, unfulfilled promises, and four key obstacles—including limited language support, vendor lock‑in, performance issues, and inability to run entire applications—explaining why the revolution has stalled.
This article explains how ByteDance’s BMQ, a cloud‑native message engine with a compute‑storage separated architecture, overcomes Kafka’s scalability and operational limits by using Proxy, Broker, Coordinator, and Controller modules, a distributed storage model, and advanced caching to achieve rapid scaling, high throughput, and resilient operations.
This article provides an in‑depth overview of load balancing, covering its necessity, functions, principles, algorithms, and classifications across OSI layers, and compares popular software solutions for implementing four‑ and seven‑layer load balancers in modern distributed systems.
Server CPUs differ from desktop CPUs in size, price, integrated graphics, core count, memory support, scalability, and clock frequency, with server chips being larger, more expensive, lacking integrated graphics, offering more cores, ECC memory, multi‑CPU interconnects, and lower base frequencies for stability.
This article explains what distributed systems are, why they are essential for scaling and high availability, and walks through core technologies such as service frameworks, caching, file systems, locks, ID generation, transactions, messaging, and other essential components.
Software development involves both value‑creating features and unavoidable maintenance costs; this article explains how the hidden software supply chain—frameworks, libraries, runtime, cloud services, and configurations—creates consistency challenges, and proposes strategies such as explicit declarations, IaC, serverless, and mono‑repo to reduce scaling costs.
This article introduces the concept of database sharding, explains how sharding middleware improves scalability and performance, and reviews six popular middleware options—ShardingSphere, MyCAT, TDDL/DRDS, Atlas, Vitess, and Oceanus—helping engineers choose the right tool for billion‑row datasets.
The article details the 2023 redesign of Tmall International’s main‑image sticker system, covering its original workflow, the need for automation and fine‑grained templates, the architectural upgrade for isolation and scalability, high‑concurrency handling, migration strategy, and price‑consistency safeguards to boost conversion and user experience.
This article explores how PayPal achieved the processing of billions of daily transactions using only eight virtual machines by adopting an actor‑model architecture built with Go, detailing the underlying challenges, network and resource optimizations, and providing a complete Go code example.
2023 witnessed numerous high‑profile cloud service failures—from Alibaba’s Hong Kong data‑center cooling issue to Tencent’s storage outage—highlighting how cost‑cutting, reduced staffing, and insufficient disaster‑recovery planning amplify risk, and outlining essential high‑availability, failover, and multi‑region strategies for resilient operations.
Load balancing, essential for distributed systems and microservices, boosts performance, ensures high availability, provides scalability, improves user experience, and adds security layers, making it a critical technique for modern architecture.
This article explains how to evolve a single‑server application into a highly available, horizontally scalable system that can serve over a million users by introducing load balancers, database replication, caching layers, CDNs, stateless network design, multi‑data‑center deployment, and message queues.
This article details how Bilibili’s relationship‑chain service evolved from a MySQL‑based design to a KV store with multi‑layer caching, introducing bloom‑filter‑enhanced Redis caches and hotspot mitigation techniques to sustain near‑million QPS traffic while maintaining data accuracy and high availability.
This article walks through the step‑by‑step process of turning a single‑server prototype into a highly available, horizontally‑scaled system that can serve over a million users, covering server configuration, database selection, load balancing, caching, CDN, stateless networking, multi‑data‑center deployment, message queues, monitoring, and sharding strategies.
This guide walks you through expanding a single‑server application into a highly available, horizontally‑scaled architecture that can serve over a million users by adding load balancers, database replication, caching layers, CDNs, stateless network design, multi‑data‑center support, message queues, monitoring and automation.
Taobao’s shopping cart was scaled and optimized by raising the item limit to 380, deploying the cloud‑native in‑memory read‑only replica tairSQL for read‑write separation, pre‑computing promotions, compressing payloads, caching data, redesigning the protocol, introducing response‑streaming APIs, and parallelizing per‑item processing with Java’s ForkJoinPool, dramatically cutting latency during traffic spikes.
This article presents a comprehensive overview of Ozone, a Hadoop‑based distributed object storage system, detailing its architecture, metadata management, scalability enhancements, small‑file handling, erasure coding, lifecycle policies, and future improvements aimed at boosting performance and reliability for large‑scale unstructured data workloads.
This article compares RabbitMQ and Apache Kafka across dimensions such as message ordering, routing, timing, retention, fault handling, scalability, and consumer complexity, and provides practical guidance on which platform is better suited for specific architectural scenarios.
This article presents a detailed technical case study on expanding and optimizing a system's storage capacity, covering business background, current architecture, implementation plans, technology selection, data synchronization strategies, phased rollout steps, results, and remaining challenges, with concrete metrics and diagrams.
This article explains what hybrid cloud is, outlines its various forms, describes its architectural features, presents typical scenarios such as scaling compute, storage, security and product services, and discusses the challenges faced in hybrid cloud adoption.
This article explains the essential "three high" goals of system design—high availability, high throughput, and high scalability—detailing their meanings, common architectural patterns such as Hot‑Hot, Hot‑Warm, leader‑based clusters, and practical techniques like caching, async processing, and micro‑service isolation to build robust, scalable services.
The article explains how Redis Cluster distributes keys using CRC16‑based hash slots instead of traditional consistent hashing, detailing the slot calculation, node addition and removal processes, client redirection, smart client optimizations, and the design reasons behind the fixed 16,384 slot count.
Discord’s rapid growth forced a series of massive database migrations—from MongoDB to Cassandra in 2017, then to ScyllaDB in 2023—detailing the motivations, requirements, data‑model design, performance challenges, migration tooling, and the resulting operational improvements.
Taobao’s Night Taobao (BFace) redesign transforms the homepage into a 24‑hour entertainment hub, offering night‑time live streams, short videos and games, using modular front‑end components, cross‑container state sharing, and extensible data pipelines that enabled rapid iteration, tripled user engagement and powered the Double 11 gala.
This article presents REDTao, Xiaohongshu's self‑built graph storage solution that unifies graph queries, reduces development duplication, and delivers low‑latency, high‑availability access to a trillion‑scale social graph through a three‑layer architecture, distributed cache, and cloud‑native deployment.
This article details Bilibili's step‑by‑step transformation of a fragmented, high‑coupling live‑commerce system into a modular, platform‑centric architecture, covering product middle‑platform construction, unified standards, storage migration, monitoring with Prometheus/Grafana, and performance gains such as a three‑fold query speedup and a reduction of development cycles from 46 to 5 person‑days.
This article explains what NoSQL databases are, outlines their typical use cases and architectural components, compares them with traditional relational databases across storage, scalability, query, and transaction aspects, and highlights the advantages and trade‑offs to consider when choosing a data solution.
This article presents a comprehensive backend design for an Instagram‑like service, covering functional and non‑functional requirements, data models, storage choices, top‑level and detailed component designs, timeline generation methods, and an evaluation of scalability, latency, availability, persistence, consistency, and reliability.
The article analyzes the November 27 Didi outage caused by an aggressive Kubernetes upgrade, then presents four engineering principles—controlling cluster size, eliminating single points of failure, treating restarts as normal, and decoupling data and control planes—to build more resilient cloud‑native systems.
This article chronicles the year‑long evolution of the voice‑chat room system, detailing how product‑driven requirements forced successive redesigns of both the live‑streaming and RTC subsystems, the introduction of session‑and‑channel abstractions, migration of mic‑seat management to the backend, and the implementation of monitoring, testing, and deployment practices that keep the architecture stable and extensible.
This article compares MySQL and MongoDB, outlining their core concepts, shared features such as open‑source licensing and indexing, and key differences in data model, scalability, performance, flexibility, and security, while summarizing pros and cons and recommending suitable application scenarios for each database.
This article examines how YouTube achieved massive scalability using a simple tech stack, a "flywheel" process, strategic outsourcing, caching layers, and three core pillars—statelessness, replication, and partitioning—while keeping the engineering team lean and adaptable.
This article examines the essential principles, multi‑channel management, intelligent risk control, and user‑experience optimization needed to design a flexible, high‑performance e‑commerce payment system that balances security, stability, and convenience for shoppers.
This article details Agoda's evolution of Apache Kafka usage—from a two‑step logging architecture that separates developer concerns, through cluster layout, scaling metrics, monitoring and audit pipelines, to cost attribution, authentication, ACLs, and automation tools—highlighting trade‑offs and operational lessons learned.
An in‑depth look at YouTube’s early scalability strategy reveals how a tiny team of nine engineers built a simple yet powerful tech stack—leveraging MySQL, Lighttpd, Python, commodity hardware, stateless design, replication, partitioning, caching, and strategic outsourcing—to handle billions of daily video views.
Vector databases gain traction because they dramatically reduce storage, learning, scaling, and large‑model limitations costs by enabling semantic similarity search, RAG‑based prompt optimization, efficient high‑dimensional indexing, and cloud‑native architectures, making them essential for modern AI applications despite the promotional context.
The article explains common misconceptions about architecture design, outlines its true goals such as maintainability, scalability, reliability, and security, and demonstrates these principles through a detailed student‑management system case study that highlights complexity analysis and practical design decisions.
