This article details how Bilibili’s relationship‑chain service evolved from a MySQL‑based design to a KV‑store with asynchronous writes, introduced multi‑layer caching with memcached, Redis hash and KV, added bloom‑filter optimization, and implemented hotspot mitigation to support millions of QPS.
This article describes the background, design principles, implementation details, performance optimizations, and operational results of a unified push notification platform that abstracts variable configurations, systematizes invariant logic, and supports high‑throughput, reliable messaging across multiple business lines.
This article enumerates typical system performance problems such as slow response time, insufficient throughput, resource bottlenecks, database slowness, memory leaks, platform differences, network latency, security overhead, scalability limits, and provides practical optimization and mitigation strategies for each.
The article analyzes the importance of the 618 sales event, identifies factors that threaten system stability such as traffic spikes, massive data, complex scenarios, long delivery chains and low tolerance, and proposes comprehensive application, storage, and operational measures—including unitization, monitoring, logging, fast‑fail, rate‑limiting, degradation, database and cache designs, and emergency processes—to guarantee reliable service during the promotion.
This article explains the AKF Cube methodology for scaling distributed systems, detailing how horizontal replication (X axis), functional decomposition (Y axis), and user‑based sharding (Z axis) can be combined to boost performance while balancing implementation costs.
Drawing on the book 'From Zero to Architecture' and personal experience, this article outlines practical design methods that define core concepts, address performance, availability and scalability complexities, and detail patterns for storage and compute optimization, fault‑tolerant interfaces, modular architectures, and evolutionary refactoring to build sustainable high‑quality systems.
The article analyzes the high‑CPU pressure on the outbox Redis cluster caused by feed‑stream read amplification during hot events, proposes a local‑cache solution for hot UPs, details its design, consistency mechanisms, and shows that the optimization cuts peak CPU usage by over 40% while achieving more than 55% cache hit rate.
This article explains why microservice architecture matters and walks software engineers through twelve core design patterns—such as API Gateway, Service Discovery, Circuit Breaker, and Strangler—that together improve system scalability, fault‑tolerance, performance, and maintainability.
This article examines the technical and operational challenges of the 618 shopping festival, presenting data‑driven insights and detailed strategies—including modular deployment, monitoring, logging, fast‑failure, rate limiting, database and cache optimizations, and emergency response plans—to help teams maintain system stability under massive traffic spikes.
This article explains how API gateways solve the challenges of microservice architectures by centralising security, routing, aggregation and traffic management, and compares popular open‑source gateway solutions such as OpenResty, Kong, Zuul and Spring Cloud Gateway, highlighting design priorities like performance, availability and scalability.
A multi‑expert panel shares experiences, challenges, and best practices for building, operating, and evolving large‑scale event‑driven systems using technologies like Kafka, covering architecture decisions, domain modeling, observability, handling unordered events, and advice for day‑two operations.
Baidu’s CFS metadata service scales to billions of files by shrinking critical sections through a lock‑free Namespace 2.0 design that confines conflicts to single shards, uses field‑level atomic primitives, and integrates the proxy into the client, delivering up to 76× throughput gains and significant latency reductions in production.
This article explains the design and evolution of Baidu Cloud File System's (CFS) metadata service, detailing how a novel lock‑free architecture and strategic data layout enable POSIX‑compatible, highly scalable storage that can handle billions of files while maintaining high performance and consistency.
The article explains Baidu's need for low‑cost, high‑latency full‑user notifications, analyzes existing IM architecture limitations, introduces a public mailbox read‑expansion approach, compares three push strategies, and details the design, management, caching, tiered release, advantages, drawbacks, and real‑world applications of this solution.
This article explains why API gateways are essential in micro‑service architectures, outlines their four core functions, discusses high‑performance, high‑availability, and scalability design goals, and compares major open‑source gateways such as OpenResty, Kong, Zuul, and Spring Cloud Gateway to help engineers choose the right solution.
This article explains the concept, motivations, design methods, common patterns, and trade‑offs of database sharding (both table and database level), offering practical code examples, scalability criteria, and guidance on avoiding over‑engineering while considering alternatives like TiDB.
This article chronicles Nubank’s architectural evolution—detailing how strategic technology choices, cloud‑native platforms, micro‑service design, and data‑engineering practices were leveraged across startup, growth, consolidation, and expansion phases to achieve massive scalability and business agility.
This article translates and expands on a HikariCP wiki post, showing how dramatically reducing database connection pool size—from thousands to just a handful—can cut response times from around 100 ms to 3 ms, backed by Oracle and PostgreSQL benchmarks and a practical sizing formula.
This article examines why traditional single‑node databases struggle with growing data volumes, outlines the three main distributed‑database architectures, compares their trade‑offs in availability, consistency, scalability and operational complexity, and offers practical criteria for deciding whether a distributed solution is truly needed.
This article explains why load balancing is essential, describes its underlying principles and various layer‑based types, compares popular L4/L7 solutions, and outlines typical scenarios such as high‑traffic handling, horizontal scaling, fault tolerance, and cross‑zone disaster recovery.
This article explains the true meaning of NoSQL, its theoretical foundation in the CAP theorem, the reasons why it excels in large‑scale and high‑concurrency scenarios, compares it with relational databases, and outlines typical use cases and trade‑offs.
The team built a Node‑based front‑end inspection platform that boosted page‑stability testing speed from 0.4 to 4 pages per second, achieved high usage, execution and alarm accuracy, solved process‑exit issues by switching to fork, integrated six inspection components, cut regression testing of 100 pages from 60 to 10 minutes, and lowered CPU use to 20 % per pod, with plans to broaden coverage.
This article outlines the essential architectural considerations for building a production‑ready batch processing module, covering design principles, task scheduling, parallelism, error handling, resource management, data‑layer concerns, deployment strategies, and monitoring practices.
This article details HuoLa La's journey of designing, implementing, and evolving a hybrid‑cloud self‑built database middleware that unifies multi‑cloud environments, achieves up to 1024× MySQL horizontal scaling, and addresses challenges such as multi‑language stacks, high availability, SQL governance, and multi‑AZ deployment.
This guide details KubeVela's three‑year evolution, presents a comprehensive load‑testing history, explains step‑by‑step configuration for high‑performance and robust control planes, describes various optimization techniques such as state‑persistence parallelism, AppKey indexing, informer cache reduction, direct cluster‑gateway connections and controller sharding, and summarizes extensive single‑shard, multi‑shard, multi‑cluster and large‑scale experiments that demonstrate v1.8's superior scalability and stability.
This article analyzes the three main bottlenecks—stability, cost, and efficiency—encountered in large‑scale operations, presents a six‑stage pipeline and open‑source toolchain, and explains how cloud‑native technologies such as Kubernetes and AIOps can transform and automate massive infrastructure management.
This article details the design and implementation of a high‑availability, billion‑scale membership system, covering Elasticsearch dual‑center clusters, traffic‑isolated architectures, deep ES optimizations, Redis caching strategies, MySQL migration with dual‑center partitioning, abnormal member relationship handling, and future fine‑grained flow‑control and degradation plans.
This article examines the advantages and disadvantages of serverless web development, including vendor lock‑in, cost predictability, scalability, and integration challenges, and outlines the scenarios where serverless is the optimal architectural choice versus when traditional approaches are preferable.
Learn why large-scale internet applications need database sharding, understand the evolution from single databases to split databases and tables, and follow practical steps for assessing, planning, and implementing horizontal and vertical sharding, including sizing calculations, key selection, and query challenges.
This article explains the definition and essence of software architecture, outlines its layers and classifications, describes architectural levels and the evolution from monolithic to micro‑service designs, and discusses how to evaluate architectural rationality while highlighting typical misconceptions and best‑practice guidelines.
The article outlines a comprehensive high‑availability architecture framework across six layers—development standards, application services, storage, product fallback, operations deployment, and emergency response—detailing design principles such as stateless services, elastic scaling, redundant storage, robust monitoring, gray releases, and chaos engineering to ensure resilient, continuously available systems.
Database sharding—splitting data across multiple databases and tables—is essential as applications scale, and this article explains the motivations, differences between sharding and partitioning, horizontal and vertical splits, common middleware options like Cobar, TDDL, Atlas, ShardingSphere, and Mycat, and how to choose the right solution.
The article explains ten key non‑functional quality attributes of software architecture—such as scalability, availability, consistency, resilience, usability, observability, security, persistence, agility, and maintainability—describing their meanings, typical implementation techniques, and why selecting the right attributes is crucial for any system.
The article describes WeChat Games’ scalable recommendation system, detailing its four‑component architecture—offline ML platform, unified management, online DAG‑based engine, and peripheral services—along with a hybrid algorithm library, feature engineering, real‑time monitoring, and solutions that boost engagement across diverse game recommendation scenarios.
This article outlines fifteen practical techniques—including horizontal scaling, microservice decomposition, database sharding, connection pooling, caching, CDN, message queues, Elasticsearch, circuit breaking, rate limiting, and load testing—to help engineers build robust, high‑concurrency systems that can handle massive traffic spikes.
This article details the design of a high‑performance, scalable call‑center system, covering business and technical architecture, a visual workflow engine, communication component modularization, flow control under traffic peaks, and future plans for a unified telephony platform, illustrating how to boost first‑call resolution and user satisfaction.
This article explains the concepts, strategies, and practical scenarios for MySQL database partitioning, covering both table splitting (vertical and horizontal) and database splitting (vertical and horizontal), with examples, advantages, and when to apply each technique to handle large-scale data workloads.
This article details the design, bandwidth optimization, and reliability engineering behind a custom live‑streaming danmaku service that supports up to one million simultaneous users, covering problem analysis, compression techniques, polling strategies, service splitting, and performance results from a major traffic event.
This article examines the essential considerations for selecting a modern data warehouse—including data volume, staffing, scalability, and pricing models—while comparing on‑premise and cloud solutions such as Redshift, BigQuery, and Snowflake to help organizations make informed decisions.
This article describes how a membership platform serving over ten billion users achieves high performance and fault tolerance through a dual‑center Elasticsearch cluster, traffic‑isolated three‑cluster ES design, Redis multi‑center caching, and a seamless migration from SQL Server to a partitioned MySQL architecture, while detailing operational safeguards and fine‑grained flow‑control strategies.
This article examines YouTube's massive backend infrastructure, detailing its use of MySQL with Vitess for horizontal scaling, caching with Memcache, coordination via Zookeeper, cloud‑native deployment on Kubernetes, CDN delivery, and the storage systems (GFS, BigTable) that enable billions of users to upload and stream petabytes of video data.
The article argues that only companies with annual revenues exceeding $2 billion truly need microservices, explains the evolution from monoliths to microservices, outlines their key characteristics and trade‑offs, and offers a step‑by‑step framework for aligning architecture with business growth while minimizing complexity.
This article details Meituan's three‑stage evolution of its self‑developed Code platform—from a single‑machine service to a multi‑machine read‑write‑separated system and finally to a distributed, sharded architecture—highlighting the scalability and high‑availability challenges faced and the engineering solutions implemented.
This article presents a comprehensive guide to software performance optimization, covering low‑level resource exhaustion, horizontal scaling, sharding, lock‑free techniques, and system‑wide strategies, while offering practical examples and references for developers seeking to improve efficiency and scalability.
This article outlines fifteen practical techniques—including horizontal scaling, microservice decomposition, database sharding, connection pooling, caching, CDN, message queues, circuit breaking, rate limiting, and load testing—to help engineers design backend systems that remain reliable and performant under extreme traffic spikes.
This article presents a complete technical design template for a CRM user reach module, detailing project overview, requirements, design goals, architecture choices, detailed process, algorithms, data models, interfaces, risk assessment, testing strategies, and deployment steps to ensure scalability, reliability, and observability.
The Xianyu team introduced a lightweight, API‑driven state‑machine framework that replaces massive IF‑ELSE order‑fulfillment code with a three‑layer architecture—core topology, glue adapters, and business processors—enabling concise topology definitions, reusable validation/action logic, automatic logging, monitoring, and effortless extension across recycling, consignment, and inspection services.
To support Southeast Asian live streaming with up to a million concurrent users per room, we replaced Tencent Cloud’s inadequate danmaku service with a custom solution that optimizes bandwidth via HTTP compression, response simplification, ordering, frequency control, and a short‑polling delivery mechanism, while ensuring reliability through service splitting, caching, and lock‑free ring buffers.
This article presents a comprehensive overview of Bilibili's comment system, detailing its background, core functional modules, layered architecture, storage and caching strategies, availability considerations, and hot‑comment design, illustrating how the platform achieves scalability, performance, and reliability for massive user interactions.
This article analyzes the functional decomposition, data structures, system architecture, push‑pull mode selection, and message flow of a one‑to‑one instant messaging service, providing practical design guidelines and example Redis/MySQL schemas for building a scalable chat backend.
This article examines YouTube’s massive backend infrastructure, detailing how the platform stores billions of videos using MySQL, Vitess for horizontal scaling, sharding, replication, disaster management, cloud‑native deployment on Kubernetes, and the supporting storage systems such as GFS and BigTable.
This article examines the common perceived benefits of microservices, shows how many of them can be achieved with a well‑designed monolith, and provides concrete criteria and tactics for small, medium, and large teams to decide which architecture best fits their context.
This article provides a detailed introduction to software architecture, covering its definition, essential concepts such as systems, subsystems, modules, components, and frameworks, various architectural layers and classifications, evolution from monolithic to micro‑service designs, common pitfalls, evaluation criteria, and recommended learning resources.
This article explains why and when to split databases and tables, how to choose sharding keys, various sharding strategies such as range, hash and consistent hash, handling cross‑node joins, pagination, distributed IDs, middleware choices, and step‑by‑step zero‑downtime migration techniques.
This article provides an extensive overview of graph neural networks, tracing their evolution from early RNN‑based models to modern message‑passing frameworks, discussing complex graph types, diverse real‑world applications, scalability challenges, design spaces, training platforms, and promising research directions.
This article provides a thorough overview of backend development, covering system design principles such as high cohesion and low coupling, architectural patterns for high concurrency and availability, network communication techniques, common fault scenarios, monitoring and alerting strategies, service governance practices, and deployment workflows.
This case study examines a data‑service company's transition to a microservice architecture, detailing the initial benefits such as improved visibility and reduced deployment cost, the subsequent explosion of complexity, queue‑head blocking, shared‑library versioning issues, and the trade‑offs that led the team to partially revert to a monolithic design.
This article presents six practical performance‑optimization methods—indexing, compression, caching, prefetching, peak‑shaving, and batch processing—explains their principles, trade‑offs, and real‑world applications, and then dives into four advanced strategies for scaling and parallelism, all illustrated with memorable analogies.
The article details Bilibili’s modular, platform‑ized comment system architecture—covering core publishing, reading, and admin modules; a layered reply‑interface, service, and job design with multi‑level caching, sharded databases, hotspot detection, redundancy, security measures, and sophisticated hot‑comment ranking to sustain massive user traffic.
This article explains how a large‑scale membership system achieves high performance and high availability by using a dual‑center Elasticsearch cluster, traffic‑isolated three‑cluster architecture, Redis caching with dual‑center clusters, and a MySQL partitioned dual‑center setup, while also detailing optimization, migration, and fine‑grained flow‑control strategies.
A data‑service company migrated 20,000 customers to a microservice architecture, initially gaining visibility, lower deployment costs, and easier scaling, but later faced queue head blocking, shared‑library version chaos, load‑pattern challenges, and management overhead, ultimately prompting a return to a monolith with a new "Centrifuge" component.
This article presents a comprehensive guide to performance optimization, covering six fundamental techniques—indexing, compression, caching, prefetching, throttling, and batch processing—along with deeper strategies for focusing, transformation, adaptation, and system-wide planning to maximize throughput while managing trade‑offs.
The author stress‑tested Milvus 2.1.4’s cloud‑native, micro‑service architecture—detailing its write and search paths, evaluating FLAT index performance across 100 K to 10 M 512‑dim vectors, uncovering scaling, scheduler, segment‑rebalance, and upgrade issues, and concluding the system is robust but benefits from graph‑based indexes and Helm‑driven scaling.
This article explains fundamental distributed‑system mechanisms—including Bloom filters for space‑efficient membership tests, consistent hashing for scalable data placement, quorum requirements for operation safety, leader‑follower coordination, heartbeats, fencing, write‑ahead logging, log segmentation, high‑water marks, leases, gossip protocols, failure detection, split‑brain resolution, checksums, CAP and PACELC theorems, hinted handoff, read repair, and Merkle trees—providing a comprehensive overview for engineers.
The article recounts a data‑service company's transition to a microservice architecture, outlines the visibility, deployment and scaling gains, then details the operational complexities such as queue‑head blocking, shared‑library versioning, load‑pattern challenges, scaling tuning, management overhead, and the eventual rollback to a monolith, highlighting the need for balanced architectural decisions.
An in‑depth case study of a data‑service company's transition to microservices details the initial benefits such as visibility and reduced deployment cost, the subsequent problems of queue head blocking, shared‑library versioning, scaling complexity, and the eventual trade‑offs that led to a partial monolith rollback.
The article outlines the typical evolution of large‑scale internet system architecture—from simple single‑node deployments through cluster and distributed cluster stages to future cloud‑native designs—highlighting the business‑driven reasons, technical challenges, security concerns, and practical principles for each phase.
This article walks through turning a basic personal‑blog architecture—single server, MySQL, and Node.js—into a high‑concurrency system by adding Redis caching, Nginx load balancing, horizontal scaling, read‑write splitting, sharding, NewSQL databases, and message‑queue techniques.
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 article explains how to overcome performance bottlenecks of a rapidly growing blog by progressively enhancing the traditional Nginx‑MySQL stack with load‑balanced app servers, Redis caching, read/write splitting, MySQL partitioning, MyRocks, and finally a hybrid NoSQL‑big‑data architecture using Hadoop and HBase.
This article uses Taobao's backend as a case study to illustrate how a high‑traffic e‑commerce system evolves through ten‑plus architectural stages—introducing distribution, high availability, load balancing, caching, database sharding, micro‑services, ESB, containerization, and cloud platforms—while highlighting the bottlenecks each stage resolves and the design principles that guide the evolution.
This article presents a thorough, multi‑part exploration of software performance optimization techniques—including indexing, compression, caching, prefetching, peak‑shaving, and batch processing—explaining their principles, trade‑offs, practical applications, and how they relate to hardware constraints and system design.
This article provides an in‑depth overview of API gateways, explaining their basic concepts, design principles, key features such as request routing, service registration, load balancing, resilience and security, and compares popular gateway solutions like OpenResty, Kong, Zuul and Spring Cloud Gateway for microservice architectures.
This article outlines eBay's key scalability best practices—including functional decomposition, horizontal sharding, avoiding distributed transactions, asynchronous decoupling, virtualization, and intelligent caching—to demonstrate how large‑scale web systems can achieve linear resource growth and high availability.
This article curates the latest frontend engineering practices, covering WebCodecs video export, a Node.js troubleshooting guide, JavaScript error handling tips, Apple‑style scroll effects, Turbopack performance benchmarks, monorepo strategies, large‑scale system design, and productivity measurement at Google, all aimed at boosting developer expertise.
The article analyzes the Chengdu COVID‑19 testing system failure, outlining its architecture, estimating traffic, identifying infrastructure and software bottlenecks, and recommending sharding, message‑queue decoupling, comprehensive monitoring, and multi‑vendor coordination to build a more reliable backend platform.
This article explains the differences between short and long connections, why long‑connection services need load balancing, and presents practical strategies for connection‑level balancing, handling server restarts, heterogeneous hardware, and scaling challenges.
The article outlines a simple yet scalable backend architecture that can handle 20 million daily ID queries by partitioning a billion‑record dataset across multiple 16 GB virtual machines, using direct‑index lookups, modest bandwidth, and basic redundancy mechanisms to achieve ample performance headroom.
This article explains how to select and implement routing keys for database sharding, covering key requirements, common scenarios such as time‑based archiving, hash‑based distribution, and detailed strategies for both user‑side and merchant‑side routing in multi‑database order platforms.
This article details the design and implementation of a high‑performance data‑consistency verification platform that supports both real‑time and 10‑minute offline checks on tens of billions of records, covering background challenges, system architecture, processing pipelines, RocksDB integration, performance results, and practical lessons learned.
This article explains the evolution of instant messaging systems from traditional to modern architectures, detailing message synchronization and storage mechanisms, inbox/outbox models, read/write diffusion strategies, and the practical implementation using Redis, MongoDB, and MySQL to achieve scalable, reliable communication.
This article explains how Bilibili’s KV storage system evolved from early Redis/Memcache solutions to a highly available, 100‑times scalable architecture using Raft, sharding, multi‑active disaster recovery, and performance optimizations to support massive traffic peaks and diverse business scenarios.
This article details how Bilibili's KV storage system evolved from early solutions like Redis and MySQL to a highly scalable, high‑availability distributed architecture, describing its overall design, node components, data splitting, multi‑active disaster recovery, typical use cases, and operational challenges.
The article introduces eight widely used software architecture design patterns—including single‑database single‑application, content distribution, query separation, microservices, multi‑level caching, sharding, elastic scaling, and multi‑data‑center modes—explaining their structures, typical use cases, and the pros and cons of each.
This article introduces eight core software architecture design patterns—including single‑database single‑app, content distribution, query separation, microservices, multi‑level caching, sharding, elastic scaling, and multi‑datacenter deployment—explaining their structures, typical use cases, advantages, and drawbacks to help developers choose the right architecture for their systems.
This article explains why database sharding (both vertical and horizontal) is needed to overcome performance bottlenecks, outlines practical thresholds for splitting tables, describes vertical and horizontal partitioning techniques, and discusses key issues such as distributed transactions, cross‑node queries, global primary keys, and scaling strategies.
This article presents ten performance‑optimization techniques—including indexing, compression, caching, prefetching, throttling, batch processing, resource squeezing, horizontal scaling, sharding, and lock‑free designs—explained through Naruto‑themed analogies and practical guidance for backend systems.
TafDB, Baidu’s Spanner‑like distributed transaction database built on RocksDB and Multi‑Raft, provides a virtually unlimited metadata layer for cloud data lakes by unifying hierarchical and flat namespaces, minimizing cross‑shard transaction overhead, handling garbage collection, and employing a distributed clock, thus delivering trillion‑scale metadata capacity and tens of millions of QPS with low latency.
This article details how a billion‑user membership platform achieved high performance and high availability by deploying dual‑center Elasticsearch clusters, traffic‑isolated ES architectures, extensive ES optimizations, a Redis caching layer with distributed locking, a dual‑center partitioned MySQL migration, and fine‑grained flow‑control and degradation strategies.
This article explains why solid database design is crucial for scalable applications and outlines ten best‑practice guidelines—including stakeholder input, choosing the right DB type, consistent naming, normalization, documentation, security, scalability, stored procedures, modeling time, and thorough testing.
The article details Xianyu’s end‑to‑end product‑search architecture—covering tokenization, indexing, online request flow, offline index building, multi‑datacenter active‑active deployment, and supporting ad and debugging systems—and explains how expanding searcher capacity, separating query engines, grading updates, and diffusing auxiliary‑table writes together reduced latency from hours to near‑zero, enabling real‑time search.
This case study explains how Shenzhen Yichuan Technology migrated its high‑traffic Alipay mini‑program to Alibaba Cloud Function Compute, detailing the development workflow, CI/CD pipeline, operational monitoring, performance gains, cost savings, and future improvement suggestions.
This article outlines six key software architecture principles—reuse before build, cloud‑ready design, scalability, complexity reduction, API‑first approach, and frequent small releases—to help organizations make strategic technical decisions and avoid common pitfalls.
This guide walks you through structuring a system‑design discussion—from clarifying functional and non‑functional requirements, mapping user flows and API calls, to outlining high‑level architecture, scaling strategies, and drafting a database schema—using a Twitter‑like example to illustrate each step.
This article chronicles Bilibili Live's eight‑year journey from a simple LAMP monolith to a sophisticated micro‑service ecosystem, detailing the motivations, architectural decisions, containerization, Golang migration, gateway redesign, hot‑key handling, request amplification mitigation, and operational practices that enabled millions of concurrent viewers.
This article outlines six key software architecture principles—including reuse before build, cloud‑first design, scalability, simplicity, API‑first strategy, and frequent small releases—to help teams create cost‑effective, maintainable, and future‑proof applications.
This article chronicles Bilibili Live’s eight‑year journey from a simple LAMP monolith to a highly available microservice ecosystem, detailing the technical motivations, design principles, Swoole‑based services, containerization, Golang migration, custom gateways, hot‑key handling, and operational safeguards that enabled millions of concurrent viewers.
This article explores the design and engineering of Baidu’s TafDB, a distributed metadata database that powers cloud object and file storage, detailing its architecture, namespace evolution, transaction optimizations, garbage collection strategies, and clock mechanisms that enable trillion‑scale metadata and millions of QPS.
The article outlines a practical backend design for handling 20 million daily ID lookups across a billion records, showing how modest hardware—20 virtual machines with 16 GB RAM each—can meet the load using simple sharding, in‑memory storage, and basic networking techniques.
This article introduces eight common backend architecture patterns—including single‑database, content distribution, query separation, microservices, multi‑level caching, sharding, elastic scaling, and multi‑data‑center—explaining their designs, typical use cases, advantages, and drawbacks to help engineers build scalable, maintainable systems.
