BestHub
Sign in
Tagged articles

Caching

1433 articles · Page 12 of 15
Xianyu Technology
Xianyu Technology
Feb 28, 2019 · Big Data

NVID Recommendation System Architecture and Technical Solutions

The NVID recommendation system for Taobao is built on a four‑layer architecture—activity material, configuration, business process, and application—and solves environment isolation, performance, audience management, and A/B testing challenges through optimized data schemas, ID mapping, multi‑level caching with database fallback, and real‑time user targeting, while future work aims at personalized audiences and automated ad optimization.

A/B testingCachingbig data
0 likes · 11 min read
NVID Recommendation System Architecture and Technical Solutions
Architect's Tech Stack
Architect's Tech Stack
Feb 26, 2019 · Databases

Database Architecture: Primary‑Backup, Master‑Slave, Read‑Write Splitting, and Consistency Solutions

This article explains fundamental database architecture principles, compares four common deployment patterns—including primary‑backup, dual‑primary, master‑slave with read‑write separation, and a hybrid dual‑primary/master‑slave design—analyzes their high‑availability, performance, consistency, and scalability characteristics, and presents practical consistency‑resolution techniques and personal insights.

CachingRead-Write Splittingconsistency
0 likes · 10 min read
Database Architecture: Primary‑Backup, Master‑Slave, Read‑Write Splitting, and Consistency Solutions
JD Tech
JD Tech
Feb 20, 2019 · Frontend Development

Performance Optimization Strategies for JD PLUS Membership Frontend: Architecture Upgrade, PWA, Babel Polyfill, Caching, and Image Formats

This article details the comprehensive front‑end performance improvements applied to the JD PLUS membership project, covering the migration to the Gaea4.0 webpack‑based scaffold, PWA offline caching, Babel 7 polyfill on‑demand loading, request and image optimizations, skeleton screens, and build‑time caching techniques to accelerate first‑screen rendering on mobile H5.

BabelCachingImage Optimization
0 likes · 15 min read
Performance Optimization Strategies for JD PLUS Membership Frontend: Architecture Upgrade, PWA, Babel Polyfill, Caching, and Image Formats
JD Tech
JD Tech
Feb 11, 2019 · Backend Development

Optimizing JD Service Market's Plugin List Service: From Thread Scaling to a Unified Cache Layer

This article presents a comprehensive case study of how JD's Service Market improved the performance of its core "Available Plugin List" service by analyzing self‑optimizations, resolving external resource conflicts, designing a unified caching model, and implementing asynchronous cache construction using binlog and MQ, ultimately achieving a six‑fold traffic surge handling during peak events.

BackendCachingdatabase
0 likes · 12 min read
Optimizing JD Service Market's Plugin List Service: From Thread Scaling to a Unified Cache Layer
Beike Product & Technology
Beike Product & Technology
Jan 17, 2019 · Frontend Development

Boost Mobile App Performance: A Hands‑On Journey with Weex

This article details a two‑month exploration of the Weex framework, covering its architecture, project scaffolding, build commands, demo implementation, environment configuration, caching strategies, native bridging, and a concise comparison with React Native and Flutter to demonstrate its suitability for cross‑platform front‑end development.

CachingPerformanceWeex
0 likes · 12 min read
Boost Mobile App Performance: A Hands‑On Journey with Weex
Java High-Performance Architecture
Java High-Performance Architecture
Jan 15, 2019 · Backend Development

7 Essential Strategies to Build High‑Concurrency Back‑End Systems

Designing high‑concurrency applications requires adopting stateless services, modular decomposition, service‑oriented architecture, message queues, data heterogeneity handling, multi‑layer caching, and parallel processing, each illustrated with practical e‑commerce examples that balance scalability, fault tolerance, and eventual consistency.

CachingHigh Concurrencybackend architecture
0 likes · 7 min read
7 Essential Strategies to Build High‑Concurrency Back‑End Systems
21CTO
21CTO
Jan 14, 2019 · Backend Development

How SuNing Financial Scaled Its Red Envelope System for Billion-User Peaks

This article details SuNing Financial’s red‑envelope platform architecture and evolution, covering high‑concurrency challenges, traffic shaping, asynchronous processing, multi‑level caching, Redis‑based distributed locks, task scheduling, payment‑chain isolation, high‑availability deployment, multi‑layer flow control, monitoring, and future scalability directions.

CachingDistributed LocksHigh Concurrency
0 likes · 14 min read
How SuNing Financial Scaled Its Red Envelope System for Billion-User Peaks
JD Retail Technology
JD Retail Technology
Jan 8, 2019 · Backend Development

Performance, Storage, Indexing, and Caching Design of JMQ4 Middleware

The article presents an in‑depth technical overview of JD's self‑developed JMQ middleware, detailing its performance improvements over previous versions, comparing write throughput with Kafka under synchronous and asynchronous scenarios, and explaining JMQ4's storage architecture, dense indexing, high‑performance I/O, and cache management strategies.

CachingIndexingJMQ
0 likes · 11 min read
Performance, Storage, Indexing, and Caching Design of JMQ4 Middleware
Architecture Talk
Architecture Talk
Jan 8, 2019 · Big Data

Boost Elasticsearch Performance: Bulk API, Gateway & Caching Secrets

This article explains how to dramatically improve Elasticsearch throughput by using the bulk API, tuning bulk request sizes, configuring gateway settings, optimizing cluster state updates, managing caches, leveraging fielddata and doc values, and employing tools like Curator and the Profiler for efficient cluster operations.

Bulk APICachingCurator
0 likes · 27 min read
Boost Elasticsearch Performance: Bulk API, Gateway & Caching Secrets
JD Tech
JD Tech
Jan 7, 2019 · Backend Development

Using OpenResty for a High‑Performance Logistics Gateway

This article explains how OpenResty, built on Nginx and Lua, powers JD Logistics' high‑throughput, extensible gateway by leveraging non‑blocking I/O, plugin architecture, multi‑level caching, dynamic load balancing, and custom JSON handling to achieve stable, scalable performance.

CachingLuaNginx
0 likes · 6 min read
Using OpenResty for a High‑Performance Logistics Gateway
Xianyu Technology
Xianyu Technology
Dec 20, 2018 · Operations

Optimizing Short Video Playback with Preloading and Proxy Caching

By preloading the MP4 header and initial frames and routing playback through a local proxy that caches range‑requested segments in an LRU disk store, the system moves the moov box to the file start (or fetches it separately), cutting short‑video start‑up latency to roughly 800 ms and delivering near‑instant playback.

CachingOptimizationProxy
0 likes · 13 min read
Optimizing Short Video Playback with Preloading and Proxy Caching
Efficient Ops
Efficient Ops
Dec 16, 2018 · Databases

Understanding Redis Data Structures, Persistence, Transactions, and Replication

This article explains Redis's core data types—String, Hash, List, Set, and Sorted Set—its internal object model, persistence options (RDB and AOF) with their pros and cons, transaction characteristics, master‑slave replication mechanisms, and common caching scenarios and design considerations.

CachingData StructuresPersistence
0 likes · 10 min read
Understanding Redis Data Structures, Persistence, Transactions, and Replication
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Dec 5, 2018 · Frontend Development

Achieving Near‑Native Speed: Extreme Front‑End Optimizations for a High‑Traffic H5 Page

This technical article details how the IMWeb team transformed the high‑traffic Penguin Tutoring course detail page—built with React—by applying static resource caching, CGI pre‑loading, server‑side rendering, Redis and PWA offline caching, ultimately cutting first‑screen render time from seconds to sub‑second levels and delivering a native‑like user experience.

CachingPerformanceServer-Side Rendering
0 likes · 13 min read
Achieving Near‑Native Speed: Extreme Front‑End Optimizations for a High‑Traffic H5 Page
Java Captain
Java Captain
Dec 3, 2018 · Backend Development

Common Spring Framework Annotations and Their Usage

This article explains the purpose and usage of frequently used Spring annotations such as @Controller, @RestController, @Service, @Autowired, @RequestMapping, @RequestParam, @ModelAttribute, @Cacheable, @CacheEvict, @Resource, @PostConstruct, @PreDestroy, @Repository, @Component, @Scope, @SessionAttributes, and @Qualifier, providing code examples and practical notes for Java backend development.

CachingDependency InjectionJava
0 likes · 12 min read
Common Spring Framework Annotations and Their Usage
JD Tech
JD Tech
Nov 30, 2018 · Backend Development

Cache Classification and Practical Cases in High‑Traffic Systems

This article explains various cache types—including client, browser, CDN, NGINX, application, and unified Redis caches—and presents two real‑world case studies on handling hotspot keys and designing a three‑tier category‑center cache, highlighting performance gains, consistency challenges, and best‑practice solutions for high‑traffic backend systems.

BackendCachingJVM cache
0 likes · 8 min read
Cache Classification and Practical Cases in High‑Traffic Systems
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Nov 29, 2018 · Databases

An Overview of Redis: Data Types, Features, Persistence, Clustering, and Use Cases

Redis is an open-source, in‑memory key‑value store written in C that supports multiple data structures, offers high‑performance caching, persistence via RDB and AOF, various clustering solutions such as Codis and native Redis Cluster, and is widely used for caching, ranking, session management, queues, and pub/sub.

CachingIn-Memory DatabasePersistence
0 likes · 7 min read
An Overview of Redis: Data Types, Features, Persistence, Clustering, and Use Cases
Java Backend Technology
Java Backend Technology
Nov 27, 2018 · Databases

How to Tackle Hotspot Key Bottlenecks in High‑Traffic Systems

Hotspot keys, caused by massive read‑heavy traffic or server limits, can overload network cards, crash cache shards, and trigger DB bottlenecks, but by employing server‑side caching, Memcache/Redis, local caches, read‑write separation, and proactive hotspot detection, systems can mitigate these issues and scale efficiently.

CachingRead-Write SeparationRedis
0 likes · 9 min read
How to Tackle Hotspot Key Bottlenecks in High‑Traffic Systems
Architects Research Society
Architects Research Society
Nov 25, 2018 · Operations

eBay Scalability Best Practices: Functional Partitioning, Horizontal Sharding, Asynchronous Decoupling, and More

The article outlines eBay's key scalability best practices—including functional partitioning, horizontal sharding, avoiding distributed transactions, aggressive asynchronous decoupling, moving work to async pipelines, pervasive virtualization, and intelligent caching—to achieve linear or better resource usage as load grows.

Cachingasynchronousoperations
0 likes · 14 min read
eBay Scalability Best Practices: Functional Partitioning, Horizontal Sharding, Asynchronous Decoupling, and More
Qunar Tech Salon
Qunar Tech Salon
Nov 20, 2018 · Databases

Strategies for Massive Data Storage and Sharding in High‑Scale Systems

This article examines various approaches to storing massive data, including table partitioning, NoSQL/NewSQL, and database sharding, analyzes their advantages and drawbacks, and presents practical sharding designs for user, forum, and order databases, with considerations for caching, redundancy, and query routing.

CachingPartitioningsharding
0 likes · 19 min read
Strategies for Massive Data Storage and Sharding in High‑Scale Systems
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Nov 11, 2018 · Backend Development

Technical Architecture Behind Alibaba's Double 11 Flash Sale

The article analyzes the massive technical challenges of Alibaba's Double 11 flash‑sale event and explains how cloud elasticity, distributed messaging, containerization, real‑time data processing, AI, front‑end optimization, caching, monitoring, and database sharding together enable billions of transactions within minutes.

AlibabaCachingCloud Computing
0 likes · 9 min read
Technical Architecture Behind Alibaba's Double 11 Flash Sale
21CTO
21CTO
Nov 9, 2018 · Backend Development

How Meituan Optimized High‑Traffic Backend Performance: Real‑World Strategies and Case Studies

This article shares Meituan's practical performance‑optimization techniques—including code analysis, database tuning, caching strategies, asynchronous processing, JVM adjustments, multithreading, and monitoring—illustrated with real case studies that reduced job runtimes from over 40 minutes to under 15 minutes.

CachingJVM TuningPerformance Optimization
0 likes · 25 min read
How Meituan Optimized High‑Traffic Backend Performance: Real‑World Strategies and Case Studies
High Availability Architecture
High Availability Architecture
Nov 9, 2018 · Backend Development

Scaling Coinbase’s Platform for Spikes in Customer Demand: Lessons, Monitoring, and Traffic Replay

Since 2017, Coinbase has faced rapid cryptocurrency‑driven traffic growth, prompting a series of backend engineering improvements—including database upgrades, monitoring enhancements, relationship refactoring, caching, and a custom traffic capture‑replay system—to ensure reliability and scalability during demand spikes.

BackendCachingMongoDB
0 likes · 9 min read
Scaling Coinbase’s Platform for Spikes in Customer Demand: Lessons, Monitoring, and Traffic Replay
Architects' Tech Alliance
Architects' Tech Alliance
Nov 5, 2018 · Big Data

Alluxio as a Virtual Distributed File System for Data Lake Solutions

The article explains how Alluxio provides a virtual distributed file system that acts as a "virtual data lake," enabling unified, high‑performance access to structured and unstructured data across heterogeneous storage back‑ends while reducing storage costs through intelligent caching and eliminating the need for permanent data copies.

AlluxioCachingData Lake
0 likes · 16 min read
Alluxio as a Virtual Distributed File System for Data Lake Solutions
Qunar Tech Salon
Qunar Tech Salon
Oct 31, 2018 · Backend Development

Understanding Cache: Concepts, Types, and Performance Optimization in High-Concurrency Scenarios

This article explains cache fundamentals—from CPU and local caches to distributed systems—covers design principles, performance‑affecting factors, eviction algorithms, and common high‑concurrency issues such as penetration, stampede, and avalanche, and provides practical solutions for selecting and optimizing cache strategies.

CPU cacheCache EvictionCaching
0 likes · 16 min read
Understanding Cache: Concepts, Types, and Performance Optimization in High-Concurrency Scenarios
Architecture Talk
Architecture Talk
Sep 26, 2018 · Backend Development

Essential Backend Infrastructure for Scalable Internet Services: A Complete Guide

This article outlines the critical backend components and best‑practice architectures—including API gateways, load balancers, service frameworks, caching, databases, search engines, messaging, authentication, configuration, scheduling, logging, data pipelines, and monitoring—that together ensure stable, maintainable, and high‑availability services for modern internet companies.

API GatewayBackendCaching
0 likes · 32 min read
Essential Backend Infrastructure for Scalable Internet Services: A Complete Guide
dbaplus Community
dbaplus Community
Sep 24, 2018 · Databases

Master MySQL Performance: Practical Optimizations for Large Tables

This guide explains why MySQL performance drops when a single table grows huge and provides a comprehensive set of optimization steps—including field type choices, index design, query tuning, engine selection, system parameters, hardware scaling, read/write splitting, caching, partitioning, vertical and horizontal sharding, and architecture recommendations—to keep MySQL fast and reliable at scale.

CachingIndexingMySQL
0 likes · 24 min read
Master MySQL Performance: Practical Optimizations for Large Tables
Architecture Talk
Architecture Talk
Sep 24, 2018 · Backend Development

How to Stop PHPExcel Exports from Timing Out or Exhausting Memory

This article explains why PHPExcel data exports often hit timeout or memory limits, analyzes the underlying causes, and provides practical solutions such as cell caching, memory‑efficient coding, and asynchronous queue processing to ensure reliable export performance.

Async QueueBackendCaching
0 likes · 7 min read
How to Stop PHPExcel Exports from Timing Out or Exhausting Memory
Java Captain
Java Captain
Sep 20, 2018 · Backend Development

Common Cache Problems and Their Mitigation Strategies

The article explains major cache issues such as consistency, concurrency, penetration, jitter, avalanche, and the “bottomless pit” phenomenon, and outlines practical techniques like locking, empty‑object caching, request filtering, consistent hashing, rate limiting, and multi‑level caching to prevent system failures.

CachingConcurrencycache avalanche
0 likes · 8 min read
Common Cache Problems and Their Mitigation Strategies
Yuewen Frontend Team
Yuewen Frontend Team
Sep 14, 2018 · Frontend Development

Master Long-Term Caching and Code Splitting to Supercharge Your Webpack Builds

This article explains how to improve web application performance by leveraging persistent caching with proper cache‑control headers, versioning bundles using hash‑based filenames, extracting dependencies and runtime into separate chunks, inlining runtime scripts, applying lazy loading with dynamic imports, splitting code by routes or pages, and stabilizing module IDs with hashed IDs, all using webpack configurations for both version 3 and 4.

CachingCode SplittingPerformance
0 likes · 20 min read
Master Long-Term Caching and Code Splitting to Supercharge Your Webpack Builds
Java Backend Technology
Java Backend Technology
Sep 11, 2018 · Backend Development

How to Prevent Cache Consistency, Concurrency, and Avalanche Issues in High‑Traffic Systems

This article explains common cache problems such as consistency, concurrency, penetration, jitter, avalanche, and the bottomless‑hole phenomenon, and provides practical strategies like expiration policies, locking, empty‑object caching, sharding, rate limiting, and IO optimizations to keep high‑traffic systems stable.

BackendCachingavalanche
0 likes · 7 min read
How to Prevent Cache Consistency, Concurrency, and Avalanche Issues in High‑Traffic Systems
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Sep 9, 2018 · Frontend Development

Boost Your Site Speed: Proven Frontend Performance Optimization Techniques

This article revisits and updates a previous guide, replacing webpack3 with webpack4 and adding modern automation concepts, then systematically walks through network transmission, page rendering, and JavaScript blocking optimizations—covering caching, resource compression, sprite generation, GPU acceleration, and server‑side techniques like gzip, CDN, load balancing, and Node.js scaling.

CDNCachingPerformance
0 likes · 31 min read
Boost Your Site Speed: Proven Frontend Performance Optimization Techniques
Senior Brother's Insights
Senior Brother's Insights
Sep 2, 2018 · Backend Development

Understanding and Solving Common Cache Problems: Consistency, Concurrency, Penetration, and More

This article explains the major cache challenges—including consistency, concurrency, penetration, jitter, avalanche, and the so‑called bottomless‑pit phenomenon—describes why they occur in high‑traffic systems, and offers practical mitigation techniques such as locking, empty‑object caching, request filtering, sharding, and multi‑level caching.

Cachingcache avalanchecache-penetration
0 likes · 7 min read
Understanding and Solving Common Cache Problems: Consistency, Concurrency, Penetration, and More
Big Data and Microservices
Big Data and Microservices
Aug 22, 2018 · Industry Insights

Designing Scalable Internet Platforms: Key Subsystems and Best Practices

The article outlines the architecture of large‑scale internet application platforms, detailing essential subsystems such as web front‑ends, load balancing, database clusters, caching, distributed storage, server management, and code deployment, and explains how they work together to achieve high availability, performance, and scalability.

CachingDatabase ClusteringServer Management
0 likes · 8 min read
Designing Scalable Internet Platforms: Key Subsystems and Best Practices
Java Captain
Java Captain
Aug 18, 2018 · Backend Development

Key Characteristics and Architectural Strategies for Large-Scale Websites

The article outlines the defining traits of large‑scale websites—high concurrency, massive traffic, high availability, and huge data volumes—and explains how their architecture evolves from a single‑server setup to layered, distributed systems using caching, load balancing, database read/write splitting, CDN, NoSQL, and service isolation.

CachingDatabase Replicationbackend architecture
0 likes · 7 min read
Key Characteristics and Architectural Strategies for Large-Scale Websites
Architecture Digest
Architecture Digest
Aug 15, 2018 · Backend Development

Evolution of a Java Web E‑commerce System: From Single‑Server to Microservices and Distributed Architecture

This article outlines the step‑by‑step evolution of a Java web e‑commerce platform, covering initial single‑machine deployment, server‑database separation, application clustering, load‑balancing algorithms, session handling, read‑write splitting, caching, database sharding, microservice decomposition, and the introduction of messaging middleware to achieve a scalable, resilient architecture.

CachingJavamicroservices
0 likes · 17 min read
Evolution of a Java Web E‑commerce System: From Single‑Server to Microservices and Distributed Architecture
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Aug 14, 2018 · Databases

How 58.com Scales Its Database: Architecture, High Availability, and Performance Tricks

This article explains 58.com’s database architecture, covering availability through replication and dual‑master setups, read‑performance enhancements with indexing, read replicas and caching, consistency solutions, rapid horizontal scaling methods, and a review of Codd’s twelve rules for relational design.

CachingSQL optimizationconsistency
0 likes · 14 min read
How 58.com Scales Its Database: Architecture, High Availability, and Performance Tricks
Architects' Tech Alliance
Architects' Tech Alliance
Aug 11, 2018 · Industry Insights

Mastering Cache Architecture: From CDN to Distributed Systems

This article provides a comprehensive overview of caching in large distributed systems, covering CDN, reverse‑proxy, local and distributed caches, popular implementations such as Ehcache, Guava, Memcached and Redis, common pitfalls like consistency and avalanche, and practical solutions with real‑world case studies.

CachingEhcacheGuava
0 likes · 11 min read
Mastering Cache Architecture: From CDN to Distributed Systems
JD Tech
JD Tech
Aug 3, 2018 · Backend Development

High‑Concurrency Price Protection System: Rate Limiting, Degradation, Caching, Sharding, and Scalable Task Processing

This article describes how JD built a high‑concurrency price‑protection service for the 618 promotion, covering rate‑limiting, degradation, CDN and data caching, database sharding with smooth expansion, and a multi‑stage, fault‑tolerant task‑processing workflow to achieve unlimited scalability.

BackendCachingHigh Concurrency
0 likes · 13 min read
High‑Concurrency Price Protection System: Rate Limiting, Degradation, Caching, Sharding, and Scalable Task Processing
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Aug 1, 2018 · Information Security

Debunking 7 Common HTTPS Myths: Caching, Cost, Speed, and More

This article dispels seven widespread HTTPS misconceptions—from caching and certificate costs to speed and IP requirements—explaining how browsers handle secure caching, affordable SSL options, wildcard certificates, migration steps, performance impacts, and why HTTPS is essential beyond login pages.

CachingHTTPSPerformance
0 likes · 7 min read
Debunking 7 Common HTTPS Myths: Caching, Cost, Speed, and More
JD Tech
JD Tech
Jul 26, 2018 · Backend Development

Why Design Caches? Multi‑Level Cache Strategies, Synchronization Schemes, and Common Pitfalls

This article explains the motivation behind cache design, compares CPU and application‑level caches, discusses multi‑level and distributed caching, outlines synchronization methods, eviction policies, and answers frequent cache‑related questions to help reduce database load and improve system performance.

Backend PerformanceCache EvictionCaching
0 likes · 13 min read
Why Design Caches? Multi‑Level Cache Strategies, Synchronization Schemes, and Common Pitfalls
Java Backend Technology
Java Backend Technology
Jul 25, 2018 · Cloud Native

Mastering Microservice Architecture: 10 Essential Design Principles

This article outlines ten crucial design principles for building robust microservice systems, covering API gateways, stateless services, database scaling, caching strategies, service decomposition, orchestration, configuration management, logging, fault tolerance, and comprehensive monitoring, each illustrated with clear diagrams.

API GatewayCachingDatabase Scaling
0 likes · 11 min read
Mastering Microservice Architecture: 10 Essential Design Principles
Big Data and Microservices
Big Data and Microservices
Jul 21, 2018 · Industry Insights

How System Architecture Evolves: From Single-Server LAMP to Distributed Services

This article traces the step‑by‑step evolution of a web system—from a single‑server LAMP setup through service and data separation, caching, server clusters, read/write splitting, CDN acceleration, distributed databases, NoSQL integration, business splitting, and finally distributed services—highlighting the motivations, characteristics, and practical outcomes of each stage.

BackendCachingdistributed systems
0 likes · 8 min read
How System Architecture Evolves: From Single-Server LAMP to Distributed Services
21CTO
21CTO
Jul 15, 2018 · Mobile Development

Mastering WebView Caching: Reduce Network Calls in Hybrid Android Apps

This article explains the principles and practical methods for caching JavaScript and other resources in Android WebView, covering HTTP cache headers, WebView cache modes, storage locations across Android versions, and the use of HTML5 AppCache to minimize network traffic and improve app performance.

AndroidAppCacheCaching
0 likes · 16 min read
Mastering WebView Caching: Reduce Network Calls in Hybrid Android Apps
Java Backend Technology
Java Backend Technology
Jul 9, 2018 · Backend Development

Redis Deep Dive: Why It’s Fast, Common Pitfalls, and Best Practices

This article provides a comprehensive overview of Redis, explaining why it’s chosen for performance and concurrency, how its single‑threaded design achieves speed, the various data types and their use cases, expiration and eviction strategies, consistency challenges with databases, and solutions for cache penetration, avalanche, and key‑concurrency issues.

Cachingconsistencydata-structures
0 likes · 15 min read
Redis Deep Dive: Why It’s Fast, Common Pitfalls, and Best Practices
Qunar Tech Salon
Qunar Tech Salon
Jul 4, 2018 · Backend Development

Performance Optimization of Qunar's ATPCO International Ticket Pricing System

This article details how Qunar's ATPCO international fare system was analyzed and optimized through performance profiling, application of Little's Law and Amdahl's Law, code refactoring, cache replacement, pruning of search space, and concurrency improvements such as ForkJoinPool to dramatically reduce response times and CPU pressure.

Amdahl's LawBackendCaching
0 likes · 12 min read
Performance Optimization of Qunar's ATPCO International Ticket Pricing System
MaGe Linux Operations
MaGe Linux Operations
Jun 27, 2018 · Operations

Master Nginx: Load Balancing, Caching, SSL & Static/Dynamic Separation Guide

This tutorial walks through setting up Nginx on Debian, configuring worker processes, events, and HTTP settings, defining upstream groups for load balancing, separating static and dynamic content with reverse proxy, enabling gzip compression, implementing proxy caching with shared memory, and adding SSL support with self‑signed certificates.

CachingNginxSSL
0 likes · 18 min read
Master Nginx: Load Balancing, Caching, SSL & Static/Dynamic Separation Guide
Architecture Digest
Architecture Digest
Jun 9, 2018 · Backend Development

Evolution of Architecture for Large-Scale Websites

The article outlines the key characteristics of large-scale websites and traces their architectural evolution from single‑server setups to multi‑tier, cache‑enhanced, clustered, and distributed systems, highlighting strategies such as load balancing, database read/write separation, CDN usage, NoSQL adoption, and service‑oriented decomposition.

Cachingbackend developmentdistributed systems
0 likes · 5 min read
Evolution of Architecture for Large-Scale Websites
JD Tech
JD Tech
Jun 8, 2018 · Backend Development

System Splitting and Architectural Evolution: Strategies for Scaling and Decoupling

The article explains how increasing business complexity and throughput demands drive system splitting—horizontal scaling, vertical and business sharding, and database partitioning—and describes the subsequent architectural evolution toward micro‑services, caching, indexing, and asynchronous processing to improve capacity, robustness, and performance.

CachingVertical Shardinghorizontal scaling
0 likes · 10 min read
System Splitting and Architectural Evolution: Strategies for Scaling and Decoupling
Tencent Cloud Developer
Tencent Cloud Developer
Jun 7, 2018 · Mobile Development

Optimizing H5 Loading Speed and Experience in Mobile Apps

The article explains why H5 pages feel slow in enterprise WeChat apps and presents a comprehensive set of techniques—including request reduction, caching, native‑H5 communication (jsapi, URL scheme, string replacement), bundling resources, pre‑loading WebView, incremental offline updates, iOS‑specific fixes, and WKWebView handling—to dramatically accelerate loading and achieve near‑native performance.

CachingMobile FrontendNative integration
0 likes · 10 min read
Optimizing H5 Loading Speed and Experience in Mobile Apps
Architecture Digest
Architecture Digest
Jun 7, 2018 · Backend Development

Technical Summary of Large-Scale Distributed E‑Commerce Website Architecture

This article provides a comprehensive technical overview of large distributed website architecture, covering performance, high availability, scalability, security, and agility, and illustrates the evolution, design patterns, and practical optimization techniques for modern e‑commerce platforms.

Cachingarchitecturedistributed systems
0 likes · 32 min read
Technical Summary of Large-Scale Distributed E‑Commerce Website Architecture
ITPUB
ITPUB
May 31, 2018 · Databases

Mastering Redis: Why It’s Fast, Common Pitfalls, and How to Solve Them

This article provides a comprehensive review of Redis, covering why it’s used, its performance advantages, single‑threaded speed, data types and use cases, expiration policies, memory eviction strategies, consistency challenges, and practical solutions for cache penetration, avalanche, and concurrent key competition.

CachingConcurrencyData Types
0 likes · 16 min read
Mastering Redis: Why It’s Fast, Common Pitfalls, and How to Solve Them
JD Retail Technology
JD Retail Technology
May 31, 2018 · Industry Insights

Inside JD.com’s Review & Share System: Architecture, Challenges, and Lessons

JD.com’s review and share platform combines multi‑dimensional rating, text, image and video content with a modular middleware, MySQL/MongoDB/HBase storage, Solr search, Redis caching and a management backend, detailing its architecture, daily operations, component‑based design, scalability challenges and future enhancements.

CachingComponentizatione-commerce
0 likes · 21 min read
Inside JD.com’s Review & Share System: Architecture, Challenges, and Lessons
MaGe Linux Operations
MaGe Linux Operations
May 29, 2018 · Fundamentals

Master Python’s functools: Decorators, Partial, Caching, and More

This article introduces Python’s functools module, explaining how decorators, partial objects, update_wrapper, total_ordering, cmp_to_key, lru_cache, reduce, and singledispatch work, and provides clear code examples that demonstrate their practical use in everyday programming.

Cachingdecoratorsfunctools
0 likes · 19 min read
Master Python’s functools: Decorators, Partial, Caching, and More
Architecture Digest
Architecture Digest
May 25, 2018 · Backend Development

Modular Design, Service Extraction, and High‑Concurrency Optimization Practices for Backend Development

This article explains how modular design and service extraction can reduce system complexity and improve reusability, illustrates practical before‑and‑after examples for red‑packet and notification services, and details high‑concurrency techniques such as caching, asynchronous processing, rate limiting, service degradation, anti‑fraud measures, and concurrency‑safe database operations.

CachingHigh ConcurrencyRate Limiting
0 likes · 13 min read
Modular Design, Service Extraction, and High‑Concurrency Optimization Practices for Backend Development
Architecture Digest
Architecture Digest
May 5, 2018 · Backend Development

Evolution and Core Principles of Large‑Scale Website Architecture

This article summarizes the evolution stages, architectural patterns, and key concerns such as performance, scalability, extensibility, high availability, and distributed design that large‑scale websites must address, providing practical insights and visual diagrams for each concept.

Cachingdistributed systemshigh availability
0 likes · 21 min read
Evolution and Core Principles of Large‑Scale Website Architecture
Architecture Digest
Architecture Digest
Apr 29, 2018 · Backend Development

Designing High‑Concurrency Architecture for Large‑Scale E‑Commerce Applications

This article outlines practical strategies for building high‑concurrency back‑end systems—including server architecture, load balancing, database clustering, caching, message queues, asynchronous processing, and service‑oriented design—to ensure smooth operation of traffic‑intensive e‑commerce services.

CachingHigh Concurrencybackend architecture
0 likes · 19 min read
Designing High‑Concurrency Architecture for Large‑Scale E‑Commerce Applications
Ctrip Technology
Ctrip Technology
Apr 17, 2018 · Backend Development

Evolution of Ctrip Image Service Architecture: From Simple NFS to a Scalable Go‑Based System

This article details the three‑stage evolution of Ctrip's image service architecture—from an early NFS‑backed design with Squid caching, through a Varnish‑and‑Lua powered middle stage, to the current Go‑based multi‑process system using FastDFS—highlighting the challenges, solutions, and performance outcomes.

CachingFastDFSNginx
0 likes · 9 min read
Evolution of Ctrip Image Service Architecture: From Simple NFS to a Scalable Go‑Based System
Architecture Digest
Architecture Digest
Apr 4, 2018 · Backend Development

Design and Optimization of High‑Concurrency Flash Sale (秒杀) System Architecture

This article outlines the business model, challenges, and architectural design principles for building a high‑concurrency flash‑sale system, covering client‑side optimizations, API and service‑layer safeguards, traffic throttling, caching, asynchronous processing, and overall flow to ensure reliability under massive load.

BackendCachingHigh Concurrency
0 likes · 10 min read
Design and Optimization of High‑Concurrency Flash Sale (秒杀) System Architecture
Architecture Digest
Architecture Digest
Mar 28, 2018 · Operations

Implementing High-Concurrency Performance Testing and Practical Solutions Based on Server Architecture

This article explains the concept of high concurrency, outlines a server architecture that supports it—including load balancing, distributed databases, NoSQL caches and CDN—and presents practical testing methods and implementation patterns such as caching strategies and message‑queue designs to handle massive simultaneous requests.

CachingHigh ConcurrencyServer Architecture
0 likes · 7 min read
Implementing High-Concurrency Performance Testing and Practical Solutions Based on Server Architecture
21CTO
21CTO
Mar 23, 2018 · Backend Development

From Single Server to Billion-User Scale: A Java Backend Architecture Evolution Guide

This article walks through the step‑by‑step evolution of a Java website—from a single‑machine setup to a multi‑tier, load‑balanced, sharded, cached, and service‑oriented architecture capable of handling billions of requests—detailing the challenges and solutions at each stage.

CachingJavabackend architecture
0 likes · 18 min read
From Single Server to Billion-User Scale: A Java Backend Architecture Evolution Guide
Architecture Digest
Architecture Digest
Mar 23, 2018 · Backend Development

Evolution Stages of a Large‑Scale Web Application Architecture

The article outlines a step‑by‑step evolution of a web application from a single‑machine deployment to a fully distributed architecture, covering server separation, clustering, load‑balancing algorithms, session handling, read‑write splitting, search engine integration, caching, database sharding, service‑oriented decomposition, and message‑queue middleware.

Cachingdatabase shardingload balancing
0 likes · 18 min read
Evolution Stages of a Large‑Scale Web Application Architecture
Meituan Technology Team
Meituan Technology Team
Mar 15, 2018 · Backend Development

Hermes Performance System: Architecture and Implementation for O2O Business

The article presents Hermes, Meituan’s O2O performance management platform for travel, detailing its six‑module, four‑engine architecture—including data, incentive, rule, calculation, and scheduling engines—while highlighting technical innovations such as two‑level caching, work‑stealing producer‑consumer processing, Map‑Reduce‑style calculations, and future AI‑driven enhancements.

BI ToolsCachingCalculation Engine
0 likes · 16 min read
Hermes Performance System: Architecture and Implementation for O2O Business
Java Backend Technology
Java Backend Technology
Mar 13, 2018 · Fundamentals

Why Consistent Hashing Is the Key to Scalable Redis Clusters

This article explains the limitations of simple modulo hashing for Redis clusters, introduces consistent hashing with a virtual‑node ring to achieve fault tolerance and seamless scaling, and demonstrates how the algorithm reduces data skew and improves cache performance in distributed systems.

Cachingconsistent hashingdistributed systems
0 likes · 11 min read
Why Consistent Hashing Is the Key to Scalable Redis Clusters
Efficient Ops
Efficient Ops
Mar 13, 2018 · Backend Development

How a Three‑Tier Cache (Nginx + Redis + Ehcache) Boosts High‑Concurrency Systems

This article explains how a three‑layer caching architecture—combining Nginx, Redis, and Ehcache—along with template engines, double‑Nginx routing, persistence mechanisms, cluster setups, and various cache‑update strategies can dramatically improve hit rates, reduce database pressure, and prevent cache‑related failures in high‑traffic applications.

CachingEhcacheHigh Concurrency
0 likes · 17 min read
How a Three‑Tier Cache (Nginx + Redis + Ehcache) Boosts High‑Concurrency Systems
Java Backend Technology
Java Backend Technology
Feb 27, 2018 · Backend Development

Mastering Large-Scale Website Architecture: 10 Essential Patterns Explained

This article outlines ten fundamental architecture patterns for high‑traffic websites—including layering, partitioning, distribution, clustering, caching, asynchronous processing, redundancy, automation, and security—explaining their goals, benefits, challenges, and best‑practice constraints to help engineers build scalable, reliable, and maintainable systems.

Backend PatternsCachingSecurity
0 likes · 11 min read
Mastering Large-Scale Website Architecture: 10 Essential Patterns Explained
Java Backend Technology
Java Backend Technology
Feb 22, 2018 · Backend Development

From Single Server to Global Scale: Evolution of Large Website Architecture

This article explores the defining traits of large‑scale websites and walks through the step‑by‑step evolution of their architecture—from single‑server setups to distributed systems with caching, load balancing, database sharding, and micro‑services—while highlighting common design pitfalls and best‑practice recommendations.

Cachingbackend architecturedistributed systems
0 likes · 8 min read
From Single Server to Global Scale: Evolution of Large Website Architecture
Java High-Performance Architecture
Java High-Performance Architecture
Feb 12, 2018 · Databases

5 Practical Redis Use Cases You Shouldn't Miss

Redis, a powerful in‑memory data store, offers versatile capabilities beyond simple key‑value storage, and this article explores five common real‑world scenarios—full‑page caching, leaderboards, session storage, queues, and pub/sub—demonstrating how to leverage its rich data structures for faster, more reliable applications.

CachingLeaderboardQueue
0 likes · 4 min read
5 Practical Redis Use Cases You Shouldn't Miss
Architecture Digest
Architecture Digest
Dec 31, 2017 · Backend Development

Fundamentals and Evolution of Large-Scale Website Architecture

This article summarizes the origins, core principles, typical evolution stages, and common toolkits of large website architecture, highlighting how network growth, performance demands, and scalability challenges drive the adoption of caching, load balancing, database sharding, CDNs, and distributed services.

CDNCachingdatabase sharding
0 likes · 11 min read
Fundamentals and Evolution of Large-Scale Website Architecture
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Dec 19, 2017 · Frontend Development

How Isomorphic Server‑Side Rendering Cut First‑Paint Time by 50% for Millions

An in‑depth case study of the Interest Tribe project reveals how adopting isomorphic server‑side rendering, combined with offline packages, VM sandboxing, and smart caching, dramatically reduced first‑paint latency on Android devices, cut slow‑user share, and improved stability and scalability for a billion‑scale web service.

CachingFrontend ArchitecturePerformance Optimization
0 likes · 12 min read
How Isomorphic Server‑Side Rendering Cut First‑Paint Time by 50% for Millions
Java Backend Technology
Java Backend Technology
Dec 18, 2017 · Backend Development

How to Scale Websites for Massive Data and High Concurrency

This article outlines practical strategies for building and scaling web applications—covering caching, static page generation, database optimization, read/write separation, NoSQL, Hadoop, distributed deployment, service separation, and CDN—to handle massive data volumes and high‑traffic loads efficiently.

BackendCachingDatabase Optimization
0 likes · 21 min read
How to Scale Websites for Massive Data and High Concurrency
Java Captain
Java Captain
Dec 12, 2017 · Fundamentals

Understanding Integer and String Comparison in Java

This article explains Java's Integer and String comparison quirks, detailing how autoboxing caches values between -128 and 127, why '==' behaves differently for objects versus primitives, and demonstrates these concepts with clear code examples and explanations.

AutoboxingCachingInteger
0 likes · 7 min read
Understanding Integer and String Comparison in Java
ITPUB
ITPUB
Nov 30, 2017 · Databases

Mastering Redis: Key Design and Data Type Use Cases

This guide explains Redis's core characteristics, practical key‑naming conventions, and detailed application scenarios for each data type—including strings, hashes, lists, sets, and sorted sets—complete with code examples and performance tips.

CachingData TypesKey Design
0 likes · 9 min read
Mastering Redis: Key Design and Data Type Use Cases
Qunar Tech Salon
Qunar Tech Salon
Nov 29, 2017 · Backend Development

Optimizing the Pricing Engine for High‑Volume Flight Search: Hash Sharding, Caching, and Response‑Time Improvements

This article explains how Qunar's international ticket pricing engine was optimized by redesigning hash rules for sharding, enhancing local cache replication, employing multi‑stage result delivery, and applying common distributed‑system patterns to boost computational capacity and reduce response latency for massive flight‑search workloads.

CachingPricing Engineflight search
0 likes · 8 min read
Optimizing the Pricing Engine for High‑Volume Flight Search: Hash Sharding, Caching, and Response‑Time Improvements
Qunar Tech Salon
Qunar Tech Salon
Nov 28, 2017 · Backend Development

Optimizing the TTS Pricing Engine: From Monolithic V1 to Scalable V2 Architecture

This article details the evolution of Qunar's TTS pricing engine from a monolithic V1 implementation with dual-level caching and blocking HTTP interfaces to a scalable V2 architecture featuring service separation, asynchronous processing, CQRS-based rule storage, canal synchronization, Solr and Redis indexing, and Kafka-driven data pipelines.

CQRSCachingPricing Engine
0 likes · 10 min read
Optimizing the TTS Pricing Engine: From Monolithic V1 to Scalable V2 Architecture
Qunar Tech Salon
Qunar Tech Salon
Nov 27, 2017 · Backend Development

Real-Time Flight Ticket Pricing Search System Architecture at Qunar

This article describes how Qunar’s senior architect designed a high‑availability, high‑performance, real‑time flight ticket pricing search system, discussing user requirements, challenges, and the backend architecture choices such as on‑demand computation, caching, MQ‑Redis integration, and layered system design.

CachingMQflight pricing
0 likes · 8 min read
Real-Time Flight Ticket Pricing Search System Architecture at Qunar
Architecture Digest
Architecture Digest
Nov 14, 2017 · Backend Development

Architecture and Technical Practices of JD.com’s Jingmai Message Center

The article details the Jingmai Message Center’s end‑to‑end architecture, covering message ingestion via Anycall and MQ, protocol conversion, Netty‑based push system, Snowflake ID generation, Elasticsearch storage, multi‑level caching, distributed locking, and the overall design principles that enable a scalable, reliable messaging platform.

CachingNettySnowflake ID
0 likes · 9 min read
Architecture and Technical Practices of JD.com’s Jingmai Message Center
dbaplus Community
dbaplus Community
Nov 2, 2017 · Databases

What Makes Alibaba’s ApsaraCache, Codis, and Redisson Stand Out in the Redis Ecosystem?

This article summarizes key insights from the Redis track at the Cloud Xi Conference, covering Alibaba Cloud ApsaraCache's unique features, Redis Enterprise's market dominance and modules, Codis's evolution and asynchronous migration techniques, and Redisson's advanced Java client capabilities for distributed caching and locking.

ApsaraCacheCachingCodis
0 likes · 12 min read
What Makes Alibaba’s ApsaraCache, Codis, and Redisson Stand Out in the Redis Ecosystem?
Qunar Tech Salon
Qunar Tech Salon
Oct 25, 2017 · Backend Development

Design and Optimization of a High‑Performance Flight Search and Pricing System

This article outlines the design, challenges, and performance optimizations of a large‑scale flight search and pricing platform, covering system requirements, architecture layers, caching strategies, indexing, real‑time data synchronization, memory reduction techniques, and high‑availability solutions to handle massive, low‑latency queries.

CachingPricing Engineflight search
0 likes · 19 min read
Design and Optimization of a High‑Performance Flight Search and Pricing System