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1367 articles · Page 2 of 14
dbaplus Community
dbaplus Community
Oct 16, 2025 · Backend Development

How to Build a Billion‑Scale Open Platform: Architecture, Caching, and Resilience

This article presents a step‑by‑step engineering guide for designing, evolving, and operating a high‑traffic open platform, covering three‑layer decoupled architecture, multi‑level caching, asynchronous message queues, distributed transaction models, high‑availability strategies, and phased rollout plans to sustain billions of daily API calls.

CachingHigh AvailabilityHigh concurrency
0 likes · 20 min read
How to Build a Billion‑Scale Open Platform: Architecture, Caching, and Resilience
Su San Talks Tech
Su San Talks Tech
Oct 9, 2025 · Backend Development

Designing a Scalable Real‑Time Video Ranking System for Billions of Views

This article walks through the end‑to‑end system design of a TikTok‑style video leaderboard, covering functional and non‑functional requirements, traffic estimation, single‑node prototypes, fault‑tolerant replication, sharding, elastic partitioning, sliding‑window counters, and caching strategies to achieve low‑latency, high‑throughput ranking at massive scale.

CachingShardingSliding Window
0 likes · 21 min read
Designing a Scalable Real‑Time Video Ranking System for Billions of Views
Raymond Ops
Raymond Ops
Oct 4, 2025 · Operations

6 Proven Ways to Shrink Your Docker Image Size

Learn six practical techniques—including using minimal base images, multi‑stage builds, layer minimization, cache awareness, .dockerignore files, and external data storage—to dramatically reduce Docker image size, improve build speed, and lower security risks for containerized applications.

CachingDistrolessDocker
0 likes · 15 min read
6 Proven Ways to Shrink Your Docker Image Size
ITPUB
ITPUB
Oct 2, 2025 · Backend Development

Master Multi-Level Caching with JetCache: Boost Performance and Consistency

JetCache, an open‑source Java caching library, combines local (Caffeine) and distributed (Redis) caches into a multi‑level system, offering annotation‑driven lazy loading, automatic refresh, consistency strategies, cache pre‑warming, monitoring, and safeguards against penetration, avalanche, and memory leaks.

CachingCaffeineJava
0 likes · 13 min read
Master Multi-Level Caching with JetCache: Boost Performance and Consistency
Architect's Guide
Architect's Guide
Oct 1, 2025 · Backend Development

How to Build High‑Traffic, High‑Concurrency Systems: Key Principles & Practices

Designing high‑traffic, high‑concurrency systems requires careful planning across architecture, client optimization, CDN usage, clustering, caching, database tuning, and service governance, with principles such as statelessness, modularity, and fault‑tolerance to ensure scalability, reliability, and maintainability.

CachingHigh concurrencySystem Design
0 likes · 12 min read
How to Build High‑Traffic, High‑Concurrency Systems: Key Principles & Practices
Code Wrench
Code Wrench
Sep 30, 2025 · Backend Development

Mastering Go-Redis: High‑Performance Caching, Locks, and Queues

This tutorial walks through why Redis is essential for Go services, how to choose and install the go‑redis client, and provides step‑by‑step code for connections, common commands, cache‑aside, distributed locks, leaderboards, and lightweight queues, followed by performance tuning and best‑practice recommendations.

CachingDistributed LockGo
0 likes · 8 min read
Mastering Go-Redis: High‑Performance Caching, Locks, and Queues
php Courses
php Courses
Sep 29, 2025 · Backend Development

How to Build Maintainable ThinkPHP Apps: Proven Best Practices

This article outlines essential best‑practice guidelines for developing maintainable ThinkPHP applications, covering framework principles, directory organization, naming standards, error handling, caching, performance tuning, test‑driven development, and effective team collaboration with version control.

Backend DevelopmentCachingPHP
0 likes · 4 min read
How to Build Maintainable ThinkPHP Apps: Proven Best Practices
DataFunSummit
DataFunSummit
Sep 23, 2025 · Artificial Intelligence

How PCache Supercharges Large‑Scale AI Training Storage Performance

This talk explores large‑scale AI training storage challenges and presents PCache, a high‑performance, cloud‑native caching system that optimizes metadata, read/write paths, deployment, and high‑availability, delivering significant throughput gains and cost savings for massive model training workloads.

AI trainingCachingPCache
0 likes · 25 min read
How PCache Supercharges Large‑Scale AI Training Storage Performance
Ops Community
Ops Community
Sep 20, 2025 · Operations

How One Nginx Tweak Rescued a Crashing Server and Boosted Performance 5×

An urgent 3 AM outage on an e‑commerce site triggered a CPU spike and massive latency, but by separating static and dynamic traffic with Nginx, adding smart caching and load‑balancing, the author restored stability, cut page load time by 75 % and dramatically reduced server load.

CachingNGINXServer Administration
0 likes · 11 min read
How One Nginx Tweak Rescued a Crashing Server and Boosted Performance 5×
php Courses
php Courses
Sep 15, 2025 · Databases

Eliminate the N+1 Query Anti‑Pattern: Strategies to Boost Database Performance

This article explains why executing many small database queries in a short time harms performance, shows how to detect the N+1 problem with monitoring and logs, and presents refactoring techniques such as eager loading, batch operations, aggregation, caching, and hand‑crafted SQL to dramatically improve speed, scalability, and code quality.

Batch OperationsCachingDatabase Performance
0 likes · 9 min read
Eliminate the N+1 Query Anti‑Pattern: Strategies to Boost Database Performance
Java Baker
Java Baker
Sep 15, 2025 · Backend Development

Choosing the Right Cache Update Pattern: Cache‑Aside, Write‑Back, Read‑Through

This article systematically compares four cache update patterns—cache‑aside, asynchronous write‑back, read/write‑through, and ongoing optimizations—detailing their implementation steps, suitable scenarios, advantages, drawbacks, and practical tips such as delayed double deletion and proactive cache refreshing to balance performance and consistency.

Cache AsideCachingOptimization
0 likes · 9 min read
Choosing the Right Cache Update Pattern: Cache‑Aside, Write‑Back, Read‑Through
Architects Research Society
Architects Research Society
Sep 12, 2025 · Backend Development

5 Proven API Performance Hacks for High‑Concurrency Systems

This article presents five practical API performance optimization techniques for high‑concurrency environments, covering pagination with cursor queries, asynchronous logging, multi‑level caching, data compression, and connection‑pool tuning, along with key configuration tips and a golden rule to monitor before optimizing.

APICachingOptimization
0 likes · 2 min read
5 Proven API Performance Hacks for High‑Concurrency Systems
AI Large Model Application Practice
AI Large Model Application Practice
Sep 8, 2025 · Artificial Intelligence

How to Build Reliable, High‑Performance AI Services in Enterprise Applications

When integrating generative AI into existing enterprise systems, architects must address reliability, performance, and security by applying patterns such as circuit breakers, retries with exponential backoff, asynchronous processing, caching, request hedging, input/output guards, sandboxes, and security proxies to ensure continuous, fast, and safe AI‑driven functionality.

AI integrationAsynchronousCaching
0 likes · 18 min read
How to Build Reliable, High‑Performance AI Services in Enterprise Applications
dbaplus Community
dbaplus Community
Sep 6, 2025 · Fundamentals

30 Must‑Know System Design Concepts to Build Scalable, Reliable Applications

This article walks you through the 30 core system‑design concepts—from client‑server basics, IP, DNS, and load balancing to databases, sharding, caching, CAP theorem, microservices, message queues, rate limiting, API gateways and idempotency—showing how each piece fits together to create high‑performance, fault‑tolerant software.

APICachingDatabases
0 likes · 29 min read
30 Must‑Know System Design Concepts to Build Scalable, Reliable Applications
Ops Community
Ops Community
Aug 31, 2025 · Operations

Boost Your Nginx Performance: Proven Configuration & Tuning Secrets

This article walks through practical Nginx performance tuning—optimizing worker processes, expanding connection limits, enabling caching and gzip, adjusting kernel parameters, and providing a one‑click diagnostic script—backed by real benchmark data that shows up to five‑fold improvements in concurrency and response times.

CachingConfigurationLinux
0 likes · 11 min read
Boost Your Nginx Performance: Proven Configuration & Tuning Secrets
Sohu Tech Products
Sohu Tech Products
Aug 28, 2025 · Mobile Development

Master 8 Powerful Caching Strategies for Lightning‑Fast Android Apps

This article explains why caching is critical for modern Android apps and walks developers through eight robust caching strategies—ranging from in‑memory and SharedPreferences to file, Room, multi‑level, TTL, and HTTP caches—complete with Kotlin implementations, real‑world usage examples, pros and cons, and best‑practice guidelines for production.

AndroidCachingKotlin
0 likes · 22 min read
Master 8 Powerful Caching Strategies for Lightning‑Fast Android Apps
AndroidPub
AndroidPub
Aug 21, 2025 · Mobile Development

Master 8 Powerful Caching Strategies for Lightning‑Fast Android Apps

This article presents eight essential caching strategies for Android developers—ranging from in‑memory LRU caches and SharedPreferences to file‑based storage, Room databases, multi‑level systems, TTL caches, and HTTP caching—complete with Kotlin implementations, real‑world examples, performance impacts, best‑practice guidelines, and common pitfalls to avoid.

AndroidCachingKotlin
0 likes · 22 min read
Master 8 Powerful Caching Strategies for Lightning‑Fast Android Apps
mikechen
mikechen
Aug 20, 2025 · Backend Development

9 Proven High‑Performance Optimization Techniques for Large‑Scale Systems

This article presents nine practical strategies—including load balancing, database sharding, read‑write separation, caching, index tuning, CDN usage, asynchronous processing, code refinement, and algorithm selection—to dramatically improve the performance and scalability of large‑scale backend architectures.

Cachingperformancescalability
0 likes · 7 min read
9 Proven High‑Performance Optimization Techniques for Large‑Scale Systems
php Courses
php Courses
Aug 13, 2025 · Backend Development

How I Slashed PHP Response Times from 5 s to 0.45 s: A Step‑by‑Step Performance Tuning Guide

This article walks through a PHP developer's systematic investigation and resolution of severe response‑time degradation, covering initial symptom detection, detailed profiling with microtime, Xdebug, XHProf, database query analysis, common PHP bottlenecks, and advanced optimizations such as OPcache, JIT, and preloading, ultimately achieving sub‑second latency and dramatically reduced server load.

CachingOptimizationProfiling
0 likes · 8 min read
How I Slashed PHP Response Times from 5 s to 0.45 s: A Step‑by‑Step Performance Tuning Guide
Bilibili Tech
Bilibili Tech
Aug 12, 2025 · Artificial Intelligence

How Bilibili Scaled AI Model Training with Alluxio Cache Acceleration

This article details Bilibili's multi-layer storage architecture and Alluxio‑based cache acceleration for large‑scale AI model training, covering challenges of high‑throughput, low‑latency file access, metadata scalability, fault tolerance, and the engineering solutions that boosted I/O performance up to ten‑fold.

AIAlluxioCaching
0 likes · 24 min read
How Bilibili Scaled AI Model Training with Alluxio Cache Acceleration
macrozheng
macrozheng
Aug 8, 2025 · Backend Development

Master Java Backend: ThreadLocal, Memory Leaks, Spring Bean Lifecycle & AOP

This guide covers evaluating engineer hourly wages, interview self‑introduction tips, local vs distributed cache choices, ThreadLocal usage, memory‑leak detection with MAT, deadlock troubleshooting, Spring Bean lifecycle, AOP implementation, and Redis‑based distributed locks, plus resources for Spring Boot projects.

AOPCachingJava
0 likes · 20 min read
Master Java Backend: ThreadLocal, Memory Leaks, Spring Bean Lifecycle & AOP
dbaplus Community
dbaplus Community
Jul 29, 2025 · Backend Development

9 Proven Techniques to Supercharge Service Performance in Backend Systems

Learn nine practical methods—caching, parallel processing, batch handling, compression, lock‑free design, sequential writes, sharding, pooling, and asynchronous execution—to dramatically improve backend service latency and throughput, illustrated with Redis, MySQL, Kafka, and Go examples, and backed by real‑world performance gains.

Cachingconcurrencyperformance
0 likes · 29 min read
9 Proven Techniques to Supercharge Service Performance in Backend Systems
Java Architect Essentials
Java Architect Essentials
Jul 24, 2025 · Backend Development

Boost Spring Boot Performance: Proven Tips & Code Samples

This article provides a comprehensive guide to optimizing Spring Boot applications, covering application‑level tweaks, JVM tuning, database connection and query improvements, caching strategies, asynchronous and reactive programming, as well as monitoring and diagnostics, all illustrated with practical code examples.

CachingJVM TuningSpring Boot
0 likes · 22 min read
Boost Spring Boot Performance: Proven Tips & Code Samples
Code Mala Tang
Code Mala Tang
Jul 18, 2025 · Backend Development

Unlock Lightning-Fast Node.js: 8 Proven Backend Performance Hacks

Discover why a sluggish API hurts user retention, SEO, and costs, and learn eight practical Node.js backend optimization techniques—including mastering the event loop, avoiding blocking code, leveraging async/await, offloading heavy tasks, efficient JSON handling, caching strategies, database tuning, clustering, and continuous monitoring—to boost performance and scalability.

Async/AwaitBackend PerformanceCaching
0 likes · 8 min read
Unlock Lightning-Fast Node.js: 8 Proven Backend Performance Hacks
Open Source Tech Hub
Open Source Tech Hub
Jul 17, 2025 · Backend Development

Why RadixRouter Beats Other PHP Routers in Speed and Memory

RadixRouter offers O(k) dynamic routing with support for optional segments, wildcards, and static hash‑based routes, provides a simple installation via Composer, includes usage examples, caching strategies, and benchmark results showing it outperforms FastRoute and SymfonyRouter in both registration time and lookup speed while using less memory.

CachingDynamic RoutingPHP
0 likes · 7 min read
Why RadixRouter Beats Other PHP Routers in Speed and Memory
php Courses
php Courses
Jul 8, 2025 · Backend Development

Master PHP’s header() Function: Redirects, HTTP Headers, and Caching Tricks

This article provides a comprehensive guide to PHP's header() function, covering its syntax, parameters, and practical examples for page redirection, setting HTTP response headers, controlling cache behavior, and enabling file downloads, while emphasizing proper usage before output.

Backend DevelopmentCachingFile Download
0 likes · 4 min read
Master PHP’s header() Function: Redirects, HTTP Headers, and Caching Tricks
TAL Education Technology
TAL Education Technology
Jul 7, 2025 · Backend Development

How a Scalable Data Dashboard Handles 500+ Real-Time Screens with Millisecond Latency

This article details the design and implementation of a high‑performance data‑screen platform, covering its background, functional matrix, cloud‑native architecture, caching strategies, resource isolation, load testing, and monitoring, and demonstrates how it supports over 500 concurrent screens with sub‑second response times for enterprise decision‑making.

CachingData VisualizationHigh concurrency
0 likes · 11 min read
How a Scalable Data Dashboard Handles 500+ Real-Time Screens with Millisecond Latency
Deepin Linux
Deepin Linux
Jul 6, 2025 · Fundamentals

Unlocking Linux: Inside the Kernel, VFS, and File System Mechanics

This article provides a comprehensive overview of Linux internals, covering the kernel’s core components, memory and process management, the virtual file system layer, ext4 inode structures, caching strategies, direct I/O, and kernel parameter tuning for performance optimization.

CachingFile SystemI/O
0 likes · 37 min read
Unlocking Linux: Inside the Kernel, VFS, and File System Mechanics
ByteDance Web Infra
ByteDance Web Infra
Jul 3, 2025 · Artificial Intelligence

How the New XPath‑Based Cache Boosts AI Automation Performance by 37%

The update introduces a YAML‑based cache with precise XPath targeting, dual‑validation and smart fallback, a structured API for extracting booleans, numbers, strings and queries, enhanced replay reports with custom nodes and video export, plus extensive web, Android, and reporting optimizations that dramatically improve performance and reduce report size.

AI AutomationCachingJavaScript
0 likes · 5 min read
How the New XPath‑Based Cache Boosts AI Automation Performance by 37%
Java Interview Crash Guide
Java Interview Crash Guide
Jul 3, 2025 · Backend Development

10 Proven Strategies to Supercharge API Performance in Java

This article presents a comprehensive, step‑by‑step guide to optimizing API latency by applying batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelism, indexing, transaction management, code refactoring, pagination, SQL tuning, and fine‑grained locking techniques.

API optimizationBatch ProcessingCaching
0 likes · 10 min read
10 Proven Strategies to Supercharge API Performance in Java
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 30, 2025 · Fundamentals

Can Distributed File Systems Outperform Local NVMe? A Deep Performance Evaluation

This article explains what a Distributed File System (DFS) is, outlines key evaluation criteria such as reliability, availability, performance, scalability, and then compares HDD and SSD performance, investigates whether DFS can surpass local NVMe in large‑IO workloads, and discusses user‑side, cluster‑level, and cache‑level performance assessment methods.

CachingDistributed File SystemNVMe
0 likes · 14 min read
Can Distributed File Systems Outperform Local NVMe? A Deep Performance Evaluation
Code Ape Tech Column
Code Ape Tech Column
Jun 30, 2025 · Backend Development

Mastering Software Performance: 6 Time‑Space Trade‑offs and 4 Advanced Parallel Techniques

This article explores practical performance‑optimization techniques, covering six fundamental time‑for‑space trade‑offs such as indexing, compression, caching, prefetching, peak‑shaving, and batch processing, followed by four advanced methods that boost parallelism like resource draining, horizontal scaling, sharding, and lock‑free programming.

Batch ProcessingCachingIndexing
0 likes · 22 min read
Mastering Software Performance: 6 Time‑Space Trade‑offs and 4 Advanced Parallel Techniques
JD Tech Talk
JD Tech Talk
Jun 27, 2025 · Frontend Development

Why Your Updated Frontend Code Isn’t Showing & How to Fix Cache Issues

This article explains why newly deployed front‑end pages often still display old content due to browser, Nginx, or CDN caching, and provides a three‑step method—including proper cache‑control headers, hash‑named assets, and version‑based fallback—to ensure users always see the latest version.

CachingHashNGINX
0 likes · 10 min read
Why Your Updated Frontend Code Isn’t Showing & How to Fix Cache Issues
Open Source Linux
Open Source Linux
Jun 27, 2025 · Operations

Mastering Nginx: Essential Configuration, Performance Tuning, and Real‑World Use Cases

This comprehensive guide walks you through Nginx’s key features, core configuration syntax, built‑in variables, global settings, common directives, HTTPS setup, CORS handling, gzip compression, access control, caching strategies, and practical examples of rewrite rules, load balancing, proxying, and server name matching, all illustrated with clear code snippets and diagrams.

CachingNGINXReverse Proxy
0 likes · 41 min read
Mastering Nginx: Essential Configuration, Performance Tuning, and Real‑World Use Cases
Architect
Architect
Jun 23, 2025 · Backend Development

Mastering Microservice Architecture: Key Components Every Backend Engineer Needs

This article outlines the essential building blocks of a modern microservice architecture—traffic entry with Nginx, API gateway selection, business service design, service registration, caching and distributed locks, persistent storage strategies, document-oriented stores, messaging middleware, log aggregation, task scheduling, and distributed object storage—providing practical guidance for backend engineers.

CachingNGINXarchitecture
0 likes · 10 min read
Mastering Microservice Architecture: Key Components Every Backend Engineer Needs
Architect's Tech Stack
Architect's Tech Stack
Jun 22, 2025 · Backend Development

Boost API Performance: 12 Proven Backend Optimization Techniques

This article presents a comprehensive set of twelve backend optimization strategies—including batch processing, asynchronous execution, caching, pooling, parallelism, indexing, transaction management, and SQL tuning—to dramatically reduce API latency and improve overall system efficiency.

API optimizationAsynchronousBackend Performance
0 likes · 9 min read
Boost API Performance: 12 Proven Backend Optimization Techniques
Huolala Tech
Huolala Tech
Jun 13, 2025 · Backend Development

Unlocking 10× Speed: Inside the 星图 Platform’s Modular Backend Architecture

This article details how the 星图 platform evolved from a monolithic customer‑service system into a modular, configurable backend architecture, covering its API management capabilities, process orchestration, caching strategies, JVM tuning, concurrency model, code optimizations, and the resulting performance gains and business benefits.

API ManagementCachingJVM Tuning
0 likes · 20 min read
Unlocking 10× Speed: Inside the 星图 Platform’s Modular Backend Architecture
MaGe Linux Operations
MaGe Linux Operations
Jun 12, 2025 · Backend Development

Master Nginx Performance: 20+ Proven Optimization Techniques

This comprehensive guide walks you through Nginx performance tuning, covering worker processes, CPU affinity, file descriptor limits, event models, gzip compression, fastcgi caching, expires headers, anti‑hotlinking, kernel tweaks, and system limits to dramatically improve web server efficiency.

CachingConfigurationLinux
0 likes · 47 min read
Master Nginx Performance: 20+ Proven Optimization Techniques
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 10, 2025 · Artificial Intelligence

How AI Application Architectures Evolve: From Simple LLM Calls to Guardrails, Routing, and Agents

This article traces the evolution of AI application architectures—from the earliest minimal user‑LLM interaction to advanced designs featuring context enhancement, input/output guardrails, intent routing, model gateways, caching strategies, agent capabilities, monitoring, and inference performance optimizations—providing practical insights and references for developers.

AI ArchitectureAgentCaching
0 likes · 21 min read
How AI Application Architectures Evolve: From Simple LLM Calls to Guardrails, Routing, and Agents
macrozheng
macrozheng
Jun 9, 2025 · Backend Development

Mastering Redis Hotspot Keys: Detection, Risks, and Solutions

This article explains what Redis hotspot keys are, the performance and stability issues they cause, common causes, how to monitor and identify them, and practical mitigation strategies such as cluster scaling, key sharding, and multi‑level caching.

CachingRedisbackend
0 likes · 10 min read
Mastering Redis Hotspot Keys: Detection, Risks, and Solutions
Su San Talks Tech
Su San Talks Tech
Jun 7, 2025 · Backend Development

10 Proven Strategies to Supercharge API Performance in Java Applications

This article presents a comprehensive set of practical techniques—including batch processing, asynchronous execution, caching, preprocessing, pooling, parallelization, indexing, pagination, SQL tuning, and lock granularity—to dramatically reduce API latency and improve overall backend system efficiency.

API optimizationAsynchronousBackend Performance
0 likes · 12 min read
10 Proven Strategies to Supercharge API Performance in Java Applications
Test Development Learning Exchange
Test Development Learning Exchange
Jun 6, 2025 · Fundamentals

Unlock Python’s Power: 8 Essential functools Tools You Must Know

Explore the Python functools module’s most useful utilities—including reduce, partial, lru_cache, wraps, total_ordering, cmp_to_key, singledispatch, and cache—through clear explanations and practical code examples that demonstrate how each tool can simplify functional programming and improve code efficiency.

CachingCode examplesFunctional Programming
0 likes · 6 min read
Unlock Python’s Power: 8 Essential functools Tools You Must Know
macrozheng
macrozheng
May 27, 2025 · Backend Development

Scaling Username Uniqueness: DB, Redis Cache & Bloom Filter

This article examines three strategies for checking username uniqueness at massive scale—direct database queries, Redis caching, and Bloom filter techniques—detailing their implementations, performance trade‑offs, memory consumption, and suitability for billions of users.

Backend PerformanceCachingbloom filter
0 likes · 11 min read
Scaling Username Uniqueness: DB, Redis Cache & Bloom Filter
Java Architect Essentials
Java Architect Essentials
May 23, 2025 · Backend Development

Master SpringBoot Caching: How @Cacheable Simplifies Cache Management

This article explains how SpringBoot’s @Cacheable annotation automates cache handling, reducing boilerplate code, improving performance, and simplifying maintenance, while also covering related annotations like @CacheEvict and @CachePut, with practical code examples for user and product data caching in real-world applications.

CacheableCachingJava
0 likes · 6 min read
Master SpringBoot Caching: How @Cacheable Simplifies Cache Management
dbaplus Community
dbaplus Community
May 21, 2025 · Backend Development

How to Make Smarter Architectural Decisions: A Proven 5‑Step Method

This article shares a practical five‑step methodology for making sound software architecture decisions, illustrates the approach with real‑world scenarios such as REST vs event‑driven APIs, build‑vs‑buy authentication, monolith vs microservices, SQL vs NoSQL, caching strategies, and legacy system refactoring, and concludes with actionable best‑practice guidelines.

CachingLegacyarchitecture
0 likes · 11 min read
How to Make Smarter Architectural Decisions: A Proven 5‑Step Method
Su San Talks Tech
Su San Talks Tech
May 20, 2025 · Backend Development

10 Cache Governance Rules Every Backend Engineer Should Follow

This article shares ten practical cache governance rules—from avoiding large keys and setting proper TTLs to using distributed locks and final consistency strategies—illustrated with real‑world Java examples, code snippets, and diagrams to help backend developers design reliable, high‑performance caching solutions.

CachingRedisTTL
0 likes · 12 min read
10 Cache Governance Rules Every Backend Engineer Should Follow
Cognitive Technology Team
Cognitive Technology Team
May 15, 2025 · Databases

How to Solve MySQL Deep Pagination Performance Issues

This article analyzes why large OFFSET values cause severe MySQL performance degradation and presents multiple optimization techniques—including range queries, subqueries, delayed joins, covering indexes, sharding, caching, and search engine integration—along with their advantages, limitations, and practical recommendations.

CachingIndexingSharding
0 likes · 11 min read
How to Solve MySQL Deep Pagination Performance Issues
Su San Talks Tech
Su San Talks Tech
May 7, 2025 · Backend Development

6 Scalable Leaderboard Solutions: From DB Sorting to Real‑Time Stream Processing

This article examines six different leaderboard implementation strategies—from simple database sorting and cache‑plus‑scheduled tasks to Redis sorted sets, sharded Redis clusters, pre‑computed layered caches, and real‑time stream processing with Flink—detailing their suitable scenarios, advantages, disadvantages, and architectural diagrams to help engineers choose the most appropriate solution.

CachingLeaderboardRanking
0 likes · 7 min read
6 Scalable Leaderboard Solutions: From DB Sorting to Real‑Time Stream Processing
Cognitive Technology Team
Cognitive Technology Team
May 1, 2025 · Databases

MySQL Optimization Strategies for Read‑Heavy and Write‑Heavy Scenarios

This article systematically examines MySQL optimization techniques for both read‑many/write‑few and write‑many/read‑few business scenarios, covering architecture design, caching, sharding, asynchronous processing, monitoring, and emerging NewSQL/HTAP solutions to achieve high performance, consistency, and scalability.

CachingPerformance TuningRead‑Write Splitting
0 likes · 9 min read
MySQL Optimization Strategies for Read‑Heavy and Write‑Heavy Scenarios
MaGe Linux Operations
MaGe Linux Operations
Apr 29, 2025 · Backend Development

Unlock Faster Web Performance: Mastering Nginx Caching Techniques

Learn how Nginx’s powerful caching mechanisms—both client‑side and server‑side—work, explore strong and conditional caching, understand essential HTTP headers, and follow step‑by‑step configuration examples to enable, tune, and verify proxy cache for optimal web performance.

CachingConfigurationperformance
0 likes · 25 min read
Unlock Faster Web Performance: Mastering Nginx Caching Techniques
php Courses
php Courses
Apr 29, 2025 · Backend Development

Overview of PHP Caching Mechanisms

This article explains the various PHP caching layers—including OPcode, data, page, and HTTP caching—provides configuration examples, code snippets for file, Memcached, and Redis caches, and outlines best practices and invalidation strategies to improve web application performance.

CachingMemcachedOPcache
0 likes · 7 min read
Overview of PHP Caching Mechanisms
IT Services Circle
IT Services Circle
Apr 23, 2025 · Backend Development

Handling Sudden Traffic Spikes in Backend Systems

The article outlines a comprehensive approach for backend engineers to manage a sudden 100‑fold increase in traffic, covering emergency response, traffic analysis, robust system design, rate limiting, circuit breaking, scaling, sharding, pooling, caching, asynchronous processing, and stress testing to ensure system stability and performance.

Cachingasynchronous processingcircuit breaking
0 likes · 13 min read
Handling Sudden Traffic Spikes in Backend Systems
Java Captain
Java Captain
Apr 23, 2025 · Backend Development

Design and Selection of Local In‑Memory Caches for High‑Performance Service Architecture

This article explains the role of local in‑memory caches in high‑performance service architectures, compares implementations such as ConcurrentHashMap, Guava Cache, Caffeine, and Ehcache, discusses cache consistency and hit‑rate challenges, and recommends Caffeine as the preferred solution for multi‑level caching with Redis or Memcached.

CachingCaffeineEhcache
0 likes · 11 min read
Design and Selection of Local In‑Memory Caches for High‑Performance Service Architecture
php Courses
php Courses
Apr 22, 2025 · Backend Development

Practical PHP Performance Optimization Techniques

This article presents a comprehensive collection of practical PHP performance optimization methods—including code-level improvements, database query tuning, caching strategies, memory management, file operation reductions, profiling tools, and miscellaneous tips—to help developers build faster, more efficient web applications.

CachingPHPPerformance Optimization
0 likes · 9 min read
Practical PHP Performance Optimization Techniques
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Apr 21, 2025 · Backend Development

Boost Web Performance: Master Nginx Static & Dynamic Separation

This article explains how Nginx static‑and‑dynamic separation works, why it dramatically improves response speed and concurrency, and provides complete configuration examples for serving static assets, proxying dynamic requests, and integrating caching, CDN and load‑balancing for optimal web performance.

CachingConfigurationNGINX
0 likes · 4 min read
Boost Web Performance: Master Nginx Static & Dynamic Separation
Selected Java Interview Questions
Selected Java Interview Questions
Apr 16, 2025 · Backend Development

Design and Selection of Local In-Memory Cache Solutions for High-Performance Services

An overview of two‑level caching architecture, the motivations for using local in‑memory caches, essential features of a local cache, comparative analysis of implementations using ConcurrentHashMap, Guava Cache, Caffeine, and Ehcache, and strategies for consistency, hit‑rate improvement, and practical code examples.

CachingCaffeineEhcache
0 likes · 11 min read
Design and Selection of Local In-Memory Cache Solutions for High-Performance Services
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
Apr 9, 2025 · Backend Development

Master Spring Boot 3: 8 Real-World Cases to Boost Your Backend Skills

This article presents eight practical Spring Boot 3 examples—including Resilience4j protection, custom Actuator endpoints, distributed transactions, caching, asynchronous programming, API gateway, OAuth2/JWT security, and scheduled tasks—each with code snippets and configuration guidance to help developers build robust backend services.

CachingResilience4jSpring Boot
0 likes · 8 min read
Master Spring Boot 3: 8 Real-World Cases to Boost Your Backend Skills
Java Captain
Java Captain
Apr 4, 2025 · Backend Development

High Concurrency: Principles, Impacts, and Practical Solutions for Backend Systems

This comprehensive guide explains the nature of high concurrency, distinguishes it from parallelism, outlines its potential consequences across application, database, and service layers, and presents a systematic set of mitigation strategies—including rate limiting, asynchronous processing, redundancy, caching, and queue‑based designs—supported by real‑world case studies and code examples.

Backend PerformanceCachingHigh concurrency
0 likes · 27 min read
High Concurrency: Principles, Impacts, and Practical Solutions for Backend Systems
Su San Talks Tech
Su San Talks Tech
Mar 30, 2025 · Databases

How to Supercharge Large Database Tables: Proven Optimization Techniques

This article explains why massive tables become slow, identifies common bottlenecks such as disk I/O, missing indexes, deep pagination and lock contention, and provides a step‑by‑step guide covering table design, indexing, SQL tuning, sharding, caching and a real‑world case study to dramatically improve performance.

CachingIndex TuningLarge Tables
0 likes · 13 min read
How to Supercharge Large Database Tables: Proven Optimization Techniques
MaGe Linux Operations
MaGe Linux Operations
Mar 29, 2025 · Backend Development

Master Strong and Weak Cache with Nginx: Boost Web Performance

This guide explains the concepts of strong (expires‑based) and weak (validation‑based) HTTP caching, details the relevant response headers, provides Nginx configuration examples for each strategy, compares their behaviors and suitable use cases, and offers best‑practice tips and debugging tools to improve website performance.

CachingStrong CacheWeb Performance
0 likes · 7 min read
Master Strong and Weak Cache with Nginx: Boost Web Performance
macrozheng
macrozheng
Mar 28, 2025 · Backend Development

Boost API Performance: 12 Proven Backend Optimization Techniques

This article presents a comprehensive set of backend optimization strategies—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelism, indexing, transaction management, program refactoring, pagination, SQL tuning, and fine‑grained locking—to dramatically reduce API latency and improve system efficiency.

API optimizationAsynchronousBackend Performance
0 likes · 10 min read
Boost API Performance: 12 Proven Backend Optimization Techniques
Architect's Tech Stack
Architect's Tech Stack
Mar 17, 2025 · Backend Development

Comprehensive Interface Performance Optimization Strategies

This article presents a systematic guide to improving API response times by applying batch processing, asynchronous execution, caching, pooling, parallelism, indexing, transaction management, pagination, SQL tuning, and proper lock granularity, supplemented with practical Java code examples and diagrams.

AsynchronousBatch ProcessingCaching
0 likes · 10 min read
Comprehensive Interface Performance Optimization Strategies
Zhuanzhuan Tech
Zhuanzhuan Tech
Mar 13, 2025 · Backend Development

Design and Implementation of a Real-Time Product Tagging Platform for a Second‑Hand E‑Commerce System

This article presents a comprehensive technical case study of a three‑layer product‑tagging platform that addresses the challenges of fine‑grained operations, ensures real‑time tag updates, guarantees data consistency, and eliminates read bottlenecks through traffic separation, event‑driven processing, deduplication MQ, and multi‑level caching.

CachingData ConsistencyReal-time Processing
0 likes · 13 min read
Design and Implementation of a Real-Time Product Tagging Platform for a Second‑Hand E‑Commerce System
php Courses
php Courses
Mar 13, 2025 · Backend Development

Effective Strategies for Optimizing PHP Application Performance

Optimizing PHP applications involves a combination of code-level improvements—such as caching, efficient algorithms, and query optimization—and server-side configurations like upgrading PHP, enabling opcode caches, tuning web servers, and leveraging CDNs, along with monitoring tools and asynchronous processing to achieve faster, more scalable performance.

CachingMonitoringPHP
0 likes · 5 min read
Effective Strategies for Optimizing PHP Application Performance
Cognitive Technology Team
Cognitive Technology Team
Feb 28, 2025 · Databases

Why Redis Is So Fast: An In‑Depth Analysis of Its High‑Performance Design

Redis achieves exceptional speed by storing all data in memory, using a single‑threaded event‑driven architecture with epoll/kqueue, employing efficient I/O multiplexing, optimizing data structures such as strings, hashes and sorted sets, and providing flexible persistence and high‑availability options, all of which are detailed in this article.

CachingIn-MemoryRedis
0 likes · 7 min read
Why Redis Is So Fast: An In‑Depth Analysis of Its High‑Performance Design
php Courses
php Courses
Feb 21, 2025 · Backend Development

Best Practices for Laravel API Development in 2025

This guide presents comprehensive Laravel API development best practices for 2025, covering authentication with Sanctum and Passport, resource formatting, versioning, rate limiting, error handling, caching, and logging, offering code examples and practical advice to build secure, scalable, high‑performance APIs.

APICachingLaravel
0 likes · 6 min read
Best Practices for Laravel API Development in 2025
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Feb 20, 2025 · Backend Development

How Nginx Handles Millions of Requests: Event‑Driven Model and Performance Tuning

This article explains how Nginx achieves high concurrency through its event‑driven architecture, asynchronous non‑blocking I/O, epoll‑based I/O multiplexing, and practical caching configurations that dramatically reduce memory usage and improve response speed in high‑traffic scenarios.

Cachingasynchronous I/Oevent-driven
0 likes · 5 min read
How Nginx Handles Millions of Requests: Event‑Driven Model and Performance Tuning
Java Tech Enthusiast
Java Tech Enthusiast
Feb 15, 2025 · Databases

Understanding MySQL table_open_cache and Its Impact on DTS Performance

table_open_cache limits the total simultaneously opened tables in MySQL, using a global cache complemented by per‑thread Table_cache instances to reduce lock contention; mis‑sizing this cache—especially when DTS forces many full‑table scans on key‑less tables—can cause latency, memory bloat, and LRU evictions, so monitor Opened_tables and adjust the setting judiciously.

CachingDTSmysql
0 likes · 10 min read
Understanding MySQL table_open_cache and Its Impact on DTS Performance
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Feb 15, 2025 · Frontend Development

Implementing Stale‑While‑Revalidate with Service Workers for Faster Page Loads

This article explains how to use Service Workers to apply a Stale‑While‑Revalidate caching strategy, detailing the three‑step process, essential APIs, code examples for intercepting and cloning responses, and a complete Express‑based demo to improve first‑visit page performance.

CachingService WorkerStale-While-Revalidate
0 likes · 12 min read
Implementing Stale‑While‑Revalidate with Service Workers for Faster Page Loads
IT Architects Alliance
IT Architects Alliance
Feb 5, 2025 · Cloud Native

Performance Optimization Strategies for Cloud‑Native Applications

This article examines the rapid adoption of cloud‑native architectures and presents a comprehensive guide to identifying performance bottlenecks and applying architectural, resource‑management, caching, networking, and tooling techniques—such as Kubernetes, Prometheus, Grafana, and JMeter—to achieve high‑performance, scalable cloud‑native systems.

CachingMonitoringcloud-native
0 likes · 22 min read
Performance Optimization Strategies for Cloud‑Native Applications
dbaplus Community
dbaplus Community
Jan 23, 2025 · Backend Development

10 Proven Techniques to Supercharge Java API Performance

This guide presents a comprehensive set of practical strategies—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction sizing, program refactoring, pagination, SQL tuning, and lock granularity—to dramatically reduce API latency in Java backend services.

API optimizationAsynchronousCaching
0 likes · 10 min read
10 Proven Techniques to Supercharge Java API Performance
Top Architecture Tech Stack
Top Architecture Tech Stack
Jan 21, 2025 · Backend Development

Common Backend Interface Performance Optimization Techniques

This article presents a comprehensive set of backend API performance optimization methods—including batch processing, asynchronous execution, caching, preprocessing, pooling, parallelization, indexing, transaction handling, pagination, SQL tuning, and lock granularity—illustrated with code snippets and diagrams to help developers improve response times and resource efficiency.

APIAsynchronousCaching
0 likes · 12 min read
Common Backend Interface Performance Optimization Techniques
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
Jan 21, 2025 · Backend Development

Mastering ConcurrentHashMap: Build High‑Performance Caches in Spring Boot 3

This article explains why ConcurrentHashMap is ideal for high‑concurrency caching, outlines its key features, and provides step‑by‑step Java examples—including a basic in‑memory cache, an expiring cache, and an auto‑loading cache—plus a recommendation to use Caffeine for production workloads.

Backend DevelopmentCachingSpring Boot
0 likes · 11 min read
Mastering ConcurrentHashMap: Build High‑Performance Caches in Spring Boot 3
JD Tech Talk
JD Tech Talk
Jan 20, 2025 · Backend Development

Inventory Pre-Reservation: Challenges, Solutions, and Performance Optimizations

The article examines inventory pre‑reservation in e‑commerce, detailing performance challenges under high concurrency, and evaluates solutions such as asynchronous rate limiting, horizontal stock splitting, Redis caching, database transaction handling, deadlock avoidance, and data consistency mechanisms, highlighting a 24‑fold throughput increase.

CachingInventoryconcurrency
0 likes · 9 min read
Inventory Pre-Reservation: Challenges, Solutions, and Performance Optimizations
Lobster Programming
Lobster Programming
Jan 20, 2025 · Backend Development

Boost High‑Concurrency Performance: When to Use Redis vs. Local Cache

This article explains why traditional relational databases falter under high‑concurrency loads, introduces caching as a solution, compares Redis distributed caching with local in‑process caching, and shows how combining them into a multi‑level cache can dramatically improve performance and reliability.

CachingLocal CacheRedis
0 likes · 5 min read
Boost High‑Concurrency Performance: When to Use Redis vs. Local Cache
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Jan 16, 2025 · Cloud Native

Master High‑Performance Architecture: Caching, Async, Microservices, and Serverless

This article provides a comprehensive guide to building high‑performance systems by covering distributed caching, asynchronous processing, microservice design, containerization with Docker and Kubernetes, serverless computing, database optimization, and load‑balancing techniques such as peak shaving and valley filling.

CachingMicroservicesServerless
0 likes · 8 min read
Master High‑Performance Architecture: Caching, Async, Microservices, and Serverless
dbaplus Community
dbaplus Community
Jan 14, 2025 · Backend Development

Mastering High‑Performance, High‑Concurrency, High‑Availability Backend Systems

This article shares a backend engineer's practical methodology for building systems that simultaneously achieve high performance, high concurrency, and high availability, covering performance optimization, scaling strategies, fault‑tolerance techniques, and real‑world case studies from B‑ and C‑side logistics platforms.

CachingDDDHigh Availability
0 likes · 27 min read
Mastering High‑Performance, High‑Concurrency, High‑Availability Backend Systems
Top Architect
Top Architect
Jan 12, 2025 · Backend Development

Optimizing a High‑Concurrency Interface: Reducing Response Time from 30 s to 0.8 s

This article presents a real‑world case study of a high‑concurrency data‑processing interface whose response time was reduced from 30 seconds to under one second by diagnosing SQL bottlenecks, applying PostgreSQL array aggregation, moving logic to the database, and introducing Caffeine caching, with detailed code examples and performance analysis.

CachingMyBatisOptimization
0 likes · 13 min read
Optimizing a High‑Concurrency Interface: Reducing Response Time from 30 s to 0.8 s
Top Architect
Top Architect
Jan 9, 2025 · Backend Development

Common Interface Performance Optimization Strategies for Backend Systems

This article presents a comprehensive set of practical techniques—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction management, pagination, SQL tuning, and lock granularity—to significantly reduce API latency and improve overall backend performance, illustrated with Java code examples and diagrams.

APICachingOptimization
0 likes · 13 min read
Common Interface Performance Optimization Strategies for Backend Systems