This article provides a comprehensive, hands‑on guide to building a MySQL master‑slave cluster with GTID replication and configuring MHA for automatic failover, covering environment preparation, password‑less SSH, MySQL settings, MHA installation, custom scripts, testing, and the key advantages of the solution.
This article presents a detailed case study of Xinwang Bank's implementation of a dual‑data‑center ElasticSearch solution, describing the motivation, technical options, translog‑based synchronization approach, deployment architecture, performance results, and future integration plans.
This article examines the limitations of Redis master‑slave replication, such as manual failover and single‑node bottlenecks, and provides an in‑depth exploration of Redis Sentinel’s architecture, configuration parameters, detection mechanisms, automatic failover process, and best‑practice recommendations for achieving high availability.
This article explains how Redis read/write separation introduces a read‑only replica role, compares star and chain replication architectures, and outlines the transparent compatibility, high availability, and performance benefits that help users reduce costs while handling read‑heavy workloads.
This article examines the core concepts, requirements, architectural models, persistence strategies, scalability, high‑availability mechanisms, performance optimizations, security models, and practical considerations of distributed file systems such as HDFS, GFS, and Ceph, offering a comprehensive guide for engineers and researchers.
This article explains the essential characteristics of high‑availability architectures—master‑slave failover, load balancing, and horizontal scaling—and reviews six practical solutions including LVS + Keepalive, NGINX, Zookeeper, client‑side strategies, service‑level replication, and middleware approaches.
This article explains how ByteDance’s Volcano Engine video platform handles the entire video lifecycle—from client‑side capture to cloud processing, delivery, and playback—by employing a multi‑plane architecture, scalable workflow system, function compute platform, and the dynamic BMF framework to meet massive scale, ensure high availability, improve user experience, and reduce costs.
The article explains various Redis high‑availability solutions—including Sentinel service discovery, VIP binding, keepalived VRRP, and proxy middleware—for both master‑slave and cluster architectures, and shows how clients can reliably locate the current master node after failover.
This article provides a comprehensive overview of RabbitMQ, covering its AMQP fundamentals, exchange types, reliable delivery mechanisms, consumer flow control, idempotency, dead‑letter queues, TTL, clustering modes, and related high‑availability tools such as HAProxy and Keepalived.
This article introduces Meituan’s Shepherd unified API gateway, covering its background, key technical designs—including architecture, high‑availability, usability, and extensibility—and outlines future cloud‑native evolution plans, offering insights for developers and operations engineers.
This article explains how to achieve high availability for stateless services by employing redundancy, vertical and horizontal scaling, various load‑balancing algorithms (random, round‑robin, weighted, least‑connections, source‑hash), and automatic scaling techniques in cloud‑native environments, while also covering performance monitoring and CDN/OSS usage.
This article explains how to design highly available stateless services by covering redundancy, vertical and horizontal scaling, load‑balancing algorithms, high‑concurrency identification, and the use of CDN/OSS, offering practical guidance for robust backend architecture.
This article explains what disaster recovery is, distinguishes it from backup, outlines classification types, compares their core differences, and details four DR maturity levels with their advantages and drawbacks to help organizations build resilient data protection strategies.
This article compares the legacy MHA solution with the modern open‑source Xenon tool, explaining Xenon's Raft‑based architecture, automatic leader election, GTID integration, and enterprise‑grade features that make it a superior high‑availability option for MySQL deployments.
This article provides a comprehensive overview of distributed file systems, covering their historical evolution, essential requirements, architectural models with and without central nodes, persistence strategies, scalability, high availability, performance optimization, security mechanisms, and additional considerations such as space allocation, file deletion, small‑file handling, and deduplication.
This article presents a detailed case study of Zhihu's read‑service architecture, describing its high‑availability, high‑performance, and easy‑scalability design goals, key components such as Proxy, Cache and TiDB storage, performance metrics, and the migration from MySQL to TiDB with practical lessons learned.
This article explains how Zhihu built a highly available, low‑latency read‑filtering service for its homepage, detailing the system’s design goals, architecture components such as proxy, cache and storage, massive data scale, migration from MySQL to TiDB, and performance results after adopting TiDB 3.0.
This guide explains Nginx's core concepts, installation on Linux, common commands, configuration structure, reverse‑proxy and load‑balancing implementations, static‑dynamic separation, and high‑availability setup with keepalived, providing step‑by‑step examples and practical code snippets.
This comprehensive guide explains Nginx’s core concepts—including reverse and forward proxy, load balancing, static‑dynamic separation, common commands, configuration blocks, and high‑availability setup with keepalived—providing step‑by‑step examples, diagrams, and practical tips for deploying scalable, high‑performance web services.
This article explains how to build a peer‑to‑peer, decentralized Eureka service‑registry cluster, covering the underlying architecture, CAP trade‑offs, Maven and YAML configurations for multiple peers, client load‑balancing, and a step‑by‑step test deployment.
This guide presents a detailed MySQL inspection checklist covering operating‑system metrics, critical MySQL parameters, status queries, replication health, high‑availability components, and useful SQL scripts, enabling DBAs to efficiently monitor performance, detect issues, and maintain reliable database services.
This article explains Kafka’s high‑availability design, including multi‑replica redundancy, ISR synchronization, leader election, and the critical role of the __consumer_offset internal topic, showing why a single broker failure can render the whole cluster unusable and how to configure replication factors and ack settings to prevent it.
This comprehensive guide explains what HAProxy is, its core functions and key features, then walks through installing, configuring, and running both L7 and L4 load balancers on Linux, adding logging, log rotation, monitoring, and achieving high availability with Keepalived.
The article explains hot standby, cold standby, and active‑active (dual‑active) data center architectures, compares their advantages and drawbacks, outlines deployment challenges, and highlights the role of cloud computing and automation in achieving high availability and optimal resource utilization.
This tutorial explains how to set up two virtual machines, install JDK, Nginx and Tomcat on each, configure Nginx as a reverse‑proxy load balancer for the Tomcat instances, and verify the high‑availability setup with sample HTML pages.
This article examines the background, design principles, high‑availability techniques, extensibility, and future roadmap of Meituan’s internally built Shepherd API gateway, showing how it streamlines microservice API management, improves developer productivity, and evolves toward a cloud‑native architecture.
This article explains SQL Server's evolution from legacy high‑availability solutions to the modern AlwaysOn architecture, detailing its data‑synchronization process, synchronous and asynchronous commit modes, failover scenarios, and practical deployment recommendations for enterprises handling both moderate and terabyte‑scale workloads.
This article explains why Redis can lose data during asynchronous master‑slave replication failures or split‑brain partitions, and shows how configuring min‑slaves‑to‑write and min‑slaves‑max‑lag, along with client‑side fallback strategies, can greatly reduce the risk of loss.
This article explains how to achieve high availability for Canal servers by using Zookeeper to implement a distributed lock, watch mechanism, and fair scheduling, while also addressing thundering‑herd problems and illustrating common Zookeeper applications such as service registry and configuration center.
This article introduces Kuaishou's data service platform, outlining the background challenges of data development, the platform's architecture and service models, key technologies such as configuration‑driven development, multi‑mode APIs, data acceleration, high‑availability mechanisms, and discusses its current performance and future development directions.
This article examines distributed data center deployment, detailing three interconnection approaches—storage network, layer‑2 network, and layer‑3 network—along with the technical requirements and challenges of VM cross‑center migration and high‑availability server clusters in modern enterprise environments.
This article details Zhihu's read‑service architecture, covering its business requirements, high‑availability and high‑performance design goals, key components such as Proxy, Cache and Storage, extensive performance metrics, the migration from MySQL to TiDB, and the benefits brought by TiDB 3.0 features.
The article examines how enterprises are moving from traditional primary‑backup and two‑site‑three‑center architectures toward distributed active/active data centers, outlining the concepts of distribution and multi‑activity, the technical challenges involved, and the operational benefits of higher availability and resource efficiency.
The article details the development, challenges, and redesign of JD.com’s self‑operated rebate system, describing its early monolithic architecture, data‑intensive processing pipeline, migration to a modular, high‑availability platform built on Spark, Hive, and Elasticsearch, and the resulting performance and operational improvements.
This article explains common database high‑availability designs—including master‑slave, master‑master, and automatic failover architectures—their topologies, advantages, disadvantages, and practical considerations such as replication lag, manual intervention, and data consistency challenges.
This article explains how to build a highly available, high‑performance, easily extensible, scalable and secure web application system by describing the evolution of large‑site architectures, common patterns such as layering, clustering, caching, asynchronous processing, and the core architectural factors of performance, availability, scalability, extensibility and security.
The article explains how to evolve a simple single‑instance database into a highly available, horizontally sharded system, detailing offline scaling, online dual‑write migration, and a smooth four‑node expansion process with configuration changes, data migration, and cleanup steps.
This talk explains JD.com’s order‑fulfillment workflow, the underlying storage stack of Redis, MySQL and Elasticsearch, the challenges of high‑traffic alert‑sound queries, the adoption of Canal for data heterogeneity, and a 4R‑based complexity‑oriented design methodology for building resilient backend systems.
This article compares RabbitMQ, Kafka, and RocketMQ from a high‑availability perspective, explaining each system's deployment modes, replication mechanisms, and the trade‑offs between scalability and fault tolerance.
This article compares Redis list, Kafka, and Pulsar as messaging middleware, explaining their architectures, strengths, and weaknesses—including queue fundamentals, partitioning, cursor management, consumer groups, high‑availability mechanisms, storage strategies, and consumption models—to help readers choose the right solution for large‑scale systems.
The guide details how to build a distributed message‑governance platform for the Hello mobility service, covering unified SDK design, RocketMQ pitfalls, client and cluster health monitoring, risk mitigation, and a tiered microservice high‑availability architecture that uses circuit‑breaking, rate‑limiting, and pre‑heating to ensure resilient traffic handling.
This article explains how to design and implement a highly available Jenkins distributed architecture using master‑slave nodes, label‑based scheduling, containerized deployment on Kubernetes, and LVS load balancing to improve resource utilization, scalability, and fault tolerance for large‑scale CI pipelines.
This article provides a comprehensive technical overview of large‑scale distributed website architecture, covering characteristics, goals, common patterns, high‑performance and high‑availability designs, scalability, extensibility, security, agility, a seven‑layer reference model, and the evolutionary steps of modern e‑commerce systems.
This article provides a comprehensive technical overview of large‑scale distributed website architecture, covering characteristics, goals, common patterns, high‑performance and high‑availability designs, scalability, extensibility, security, agility, a seven‑layer reference model, and a detailed e‑commerce case study with practical optimization steps.
This article provides a comprehensive technical overview of large‑scale distributed website architecture, covering characteristics, design goals, architectural patterns, performance, high availability, scalability, extensibility, security, agility, evolution stages, and a detailed e‑commerce case study.
This article provides a comprehensive technical overview of large‑scale distributed website architecture, covering characteristics, design goals, high‑performance, high‑availability, scalability, security, and detailed patterns such as layered design, caching, clustering, load balancing, database sharding, CDN, and service‑oriented decomposition.
This article explains Redis Sentinel's role in providing high availability for Redis by detailing its architecture, monitoring, leader election, automatic failover process, configuration of master‑slave instances and sentinel nodes, and how clients can subscribe to sentinel events.
This article provides a comprehensive analysis of Redis Cluster, covering node and slot assignment, command execution, resharding, redirection, fault‑tolerance, gossip communication, scaling strategies, configuration limits, and practical code examples for building and operating a high‑availability sharded Redis deployment.
This guide walks through the complete process of installing RocketMQ 4.8.0, configuring a two‑master‑two‑slave asynchronous high‑availability cluster across two Linux servers, setting up the web console, and troubleshooting common pitfalls such as missing JDK, memory limits, firewall rules, and network address issues.
This article explains the role of message queues in handling traffic spikes, decoupling services, and ensuring reliability, compares popular MQ solutions such as RabbitMQ, Kafka, RocketMQ and ActiveMQ, and discusses their architectures, advantages, drawbacks, idempotency, ordering, high‑availability and scaling strategies.
This article explains how to build highly available stateless services by using redundant deployment, vertical and horizontal scaling, various load‑balancing algorithms, and automatic recovery mechanisms, while also covering monitoring, high‑concurrency identification, and the role of CDN and OSS in resilient architecture.
System health checks, akin to medical exams, are vital for modern IT infrastructure, using active and passive monitoring, failover strategies, and tools like Spring Boot Actuator to detect hardware, network, load, or software issues, prevent single points of failure, and ensure continuous high‑availability service operation.
The article explains how asynchronous replication and split‑brain situations can cause data loss in Redis clusters, and describes configuration parameters and client‑side techniques to minimize such loss while maintaining high availability.
This article introduces Seata's background, explains the causes of data inconsistency in micro‑service architectures, details Seata's three core roles, transaction flow, isolation levels, common pitfalls with code examples, and provides guidance on high‑availability deployment, multi‑node setups, disaster recovery, and hands‑on demos.
This article presents Meituan's comprehensive evaluation of open‑source graph databases, the rationale for selecting NebulaGraph, and the design of a high‑availability, high‑throughput graph database platform that supports multi‑hop queries, massive data ingestion, real‑time synchronization, and visualization for various business scenarios.
The article explains the active‑active dual‑data‑center solution as the preferred disaster‑recovery option, detailing its storage choices, distance, network, performance, true versus pseudo active‑active modes, and multipathing requirements, and offers a downloadable technical guide.
An in‑depth guide to MySQL master‑slave replication covering replication modes, deployment prerequisites, core mechanisms, common issues with solutions such as semi‑synchronous and parallel replication, configuration commands, monitoring techniques, and error handling to ensure high availability and performance.
This article provides a comprehensive overview of HDFS—including its design goals, core components, data read/write workflows, high‑availability mechanisms, federation, storage policies, colocation benefits, and practical usage scenarios—explaining why it is the foundational distributed file system for large‑scale data processing.
This article explains how to build a highly available Redis service by analyzing common failure scenarios, evaluating single‑instance, master‑slave with one or multiple Sentinel processes, and ultimately recommending a three‑Sentinel architecture combined with a virtual IP for seamless client usage.
This article provides a comprehensive guide to Redis, covering its role as a non‑relational database, detailed data types and commands, persistence mechanisms (RDB and AOF), memory eviction strategies, high‑availability features such as replication, Sentinel and clustering, and solutions to typical cache problems like penetration, avalanche, and hot‑key handling.
This article introduces NSQ, an open‑source Go‑based distributed message queue, detailing its core components, scalable high‑availability deployment topology, backup and replay mechanisms, and monitoring practices to ensure reliable, fault‑tolerant message processing.
This article walks through what Redis is, its data types, caching usage with Spring Boot, performance advantages, eviction policies, persistence mechanisms, master‑slave replication, Sentinel high‑availability, and practical interview‑style Q&A, providing a comprehensive guide for backend developers.
This article explains how to build highly available stateless services by covering redundant deployment, load‑balancing algorithms, vertical and horizontal scaling, CDN/OSS usage, and practical recommendations for monitoring, automated recovery, and minimizing failure impact.
This article explores the challenges of building a reliable monitoring platform, compares open‑source solutions such as Elasticsearch, Nagios, Zabbix and Prometheus, and details how to achieve high availability and horizontal scaling using Prometheus, Thanos, sharding, remote‑write, and Kubernetes orchestration.
This article outlines core database architecture principles, compares four common deployment schemes (master‑slave, dual‑master, master‑slave with read/write separation, and hybrid), and presents practical consistency solutions for both primary‑replica and DB‑cache mismatches, followed by personal evolution insights.
Effective traffic governance and protection rely on properly configuring thresholds—either a fixed global limit that stays constant regardless of node count, or a per‑machine allocation that scales the total capacity as nodes are added or removed—to prevent sudden surges from overwhelming services and ensure high availability.
This article explains how Redis Sentinel provides high‑availability for Redis by continuously monitoring master and replica nodes, detecting failures through subjective and objective down states, electing a new master via quorum‑based voting, and notifying clients of the failover using Pub/Sub events.
This article examines core MySQL architecture principles—high availability, performance, consistency, and scalability—then compares four common deployment patterns, analyzes their trade‑offs, and presents practical consistency solutions for both master‑slave replication and cache synchronization, ending with personal insights on evolution and sharding.
Discover three effective strategies for mastering a technology, illustrated with MySQL replication, and learn how the new book 'Deep Understanding of MySQL Master‑Slave Principles' combines code analysis, comparative study, and expert insight to guide readers through GTID, binary‑log events, and high‑availability architectures.
Meituan evaluated open‑source distributed graph databases against strict latency, scale, and import criteria, selected NebulaGraph for its superior multi‑hop query and bulk‑load performance, and built a four‑layer, highly available platform that ingests petabyte‑scale data in real time, supports diverse business use cases, and provides interactive visualization.
This article provides a comprehensive overview of Zookeeper's cluster deployment, explains the four server states, details the leader election process—including initialization, voting, and decision logic—and presents key source code snippets to help developers understand and implement Zookeeper's high‑availability mechanisms.
The article details Tencent’s design and implementation of a distributed timer service—using a multi‑level time‑wheel stored in a KV system, a scheduler daemon, broker, and notifier—to support reliable, low‑latency delayed tasks such as order closure and SMS activation, while addressing isolation, rate limiting, disaster recovery, and delivery guarantees.
A Kafka broker outage can halt consumer consumption despite remaining brokers, due to replication settings, ISR mechanics, and the internal __consumer_offsets topic’s default replication factor, which this article explains and resolves with practical configuration steps.
The article introduces ChaosBlade‑Box, an open‑source cloud‑native chaos‑engineering console that builds on Alibaba’s ChaosBlade tool, explains the high‑availability challenges of cloud‑native systems, details the platform’s design, features, multi‑language support, deployment workflow, example experiments, and future roadmap for resilient architectures.
This article examines stateful backend services and compares various high‑availability strategies—including cold backup, dual‑machine hot standby, same‑city and cross‑city active‑active, and multi‑active architectures—highlighting their benefits, drawbacks, and practical implementation considerations.
This article explains the principles, architecture models, and concrete implementations of high‑availability for MySQL and PostgreSQL, covering data‑sync modules, HA management, unified access, and cloud‑native considerations with detailed examples and best‑practice recommendations.
This article details Baidu's Feed recommendation system architecture, explaining how a combination of dynamic retry scheduling, real‑time stop‑loss mechanisms, multi‑recall frameworks, ranking layer fallbacks, and IDC‑level multi‑master designs collectively ensure five‑nine availability across billions of daily requests.
This guide walks you through Nginx's high‑performance architecture, explains forward and reverse proxy concepts, demonstrates load‑balancing and static‑dynamic separation techniques, shows step‑by‑step installation and common commands, and details a high‑availability setup with Keepalived, all illustrated with practical examples and diagrams.
This article explains why growing MySQL workloads require moving from a single instance to a clustered architecture, details the mechanics of master‑slave replication, asynchronous, semi‑synchronous and group replication, and evaluates various high‑availability solutions and read‑write splitting techniques.
This article analyzes how adjusting the MHA ping_interval and enabling secondary_check_script can increase MySQL high‑availability cluster tolerance to network packet loss and corruption, presenting test setups, parameter configurations, log observations, and conclusions on their impact on failover behavior.
Meituan's instant logistics platform evolved over five years, adopting distributed, fault‑tolerant systems, AI‑driven optimization, and multi‑IDC strategies to handle massive order volumes, extreme traffic spikes, and stringent real‑time reliability requirements while continuously improving scalability and cost efficiency.
This tutorial walks through preparing four CentOS 7 servers, installing and configuring IPVS, Keepalived, and Nginx, creating a virtual IP script, starting the services, and verifying the load‑balancing setup with ipvsadm, providing a complete high‑availability solution.
This article provides a comprehensive guide to Redis high‑availability through master‑slave replication, covering the underlying architecture, step‑by‑step setup, full and partial synchronization processes, buffer management, practical pitfalls, and how the mechanism fits into broader Redis HA solutions.
This guide explains the fundamentals of etcd, its Raft‑based architecture, cluster planning, secure certificate generation, installation steps, service configuration, and verification commands to deploy a reliable, SSL‑protected etcd cluster for service discovery and configuration management.
This guide explains Nginx’s core concepts—including forward and reverse proxy, load‑balancing strategies, static‑dynamic separation, installation commands, configuration file anatomy, practical reverse‑proxy and load‑balancing examples, and a Keepalived high‑availability solution—providing step‑by‑step instructions and essential code snippets for reliable backend deployment.
This article details the motivation, design choices, architecture, performance optimizations, and operational lessons learned while implementing a distributed ID generation system using Leaf's segment mode to achieve global uniqueness, high availability, and low latency for large‑scale e‑commerce services.
This article uses a mythological alchemy dialogue to illustrate distributed consistency concepts, mapping alchemical furnaces to server nodes and explaining the Quorum NWR protocol, its parameters N, W, R, and how they affect strong and eventual consistency in database systems.
The article outlines a microservice‑based user‑center architecture for handling over one hundred million users, detailing gateway, core, and async services, interface design, vertical and horizontal database sharding, token graceful degradation, multi‑layer password security, event‑driven async processing, and comprehensive monitoring for high availability, performance, and security.
This article examines high‑availability strategies for stateful backend services, covering cold backup, dual‑machine hot standby, same‑city active‑active, and remote multi‑active solutions, while discussing their benefits, trade‑offs, and architectural patterns for resilient distributed systems.
This article examines backend service high‑availability strategies, comparing cold backups, hot standby, same‑city and cross‑city active‑active designs, and explains the trade‑offs, architectural patterns, and practical considerations for building resilient distributed systems.
This article explains how Ant Financial’s payment system grew from 20,000 transactions per minute in 2010 to 540,000 TPS in 2019 by adopting logical data centers (LDC), unitized architecture (RZone, GZone, CZone), OceanBase’s Paxos‑based consensus, and sophisticated traffic steering and disaster‑recovery strategies.
This article provides a comprehensive guide to installing and configuring Apache RocketMQ, covering its history, core features, high‑availability architectures, detailed port planning, downloading, editing broker configuration files, creating data directories, starting NameServer and brokers, troubleshooting common issues, and deploying the web console for monitoring.
This article examines the evolution of high‑availability architectures—from cold backup to multi‑active deployments—detailing the technical trade‑offs, design patterns, and real‑world implementations used by large internet companies such as Alibaba, Eleme, and Taobao.
This article describes how Coffee Meets Bagel upgraded a five‑node PostgreSQL 9.6 cluster to version 12.4 on AWS using pglogical logical replication, achieving less than 30 minutes of total downtime while sharing the architecture, migration steps, and lessons learned.
This guide details how to set up a high‑availability RocketMQ cluster with two name servers and four brokers across two Linux hosts, covering directory preparation, configuration file edits, service startup commands, and verification of the deployment.
This article explains how Kuaishou’s data‑service platform tackles high development barriers and repetitive work by introducing a self‑service, configuration‑driven architecture, multi‑mode APIs, efficient data acceleration, and robust high‑availability mechanisms, while outlining its evolution and future roadmap.
This article explains how Flink 1.12 introduces production‑grade Kubernetes high‑availability, details the underlying architecture and deployment steps, and shows how the DataStream API can run in batch mode using runtime‑mode configuration and example commands.
This article objectively compares NewSQL distributed databases with traditional middleware‑plus‑sharding solutions, examining their architectural differences, distributed transaction handling, high‑availability mechanisms, scaling and sharding strategies, SQL support, storage engines, and maturity to help practitioners decide which approach best fits their workload and operational constraints.
This article provides a step‑by‑step tutorial on building a Redis Cluster on a single server, covering node configuration, cluster handshaking, slot assignment, master‑slave replication, command routing, failover handling, and practical scaling operations such as adding and removing nodes using redis‑cli.
This article explains why message queues are essential for decoupling systems, enabling asynchronous processing and peak‑shaving, outlines their advantages and disadvantages, compares popular MQ products, and provides practical guidance on high availability, reliability, ordering, and architectural design.
