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IT Architects Alliance
IT Architects Alliance
Dec 19, 2022 · Backend Development

Distributed Service Rate Limiting, Degradation, and Caching Strategies

This article explains how e‑commerce systems handle sudden traffic spikes by applying caching, various rate‑limiting algorithms (leaky bucket, token bucket, sliding window), Nginx ingress controls, Java Semaphore concurrency limits, distributed queue buffering, service degradation tactics, and cache‑consistency techniques for high‑availability backend services.

Backendcachingrate limiting
0 likes · 7 min read
Distributed Service Rate Limiting, Degradation, and Caching Strategies
IT Architects Alliance
IT Architects Alliance
Dec 16, 2022 · Backend Development

Distributed Service Rate Limiting, Degradation, and Caching Strategies

The article explains how to handle sudden traffic spikes in e‑commerce systems by applying rate‑limiting algorithms, Nginx and Java semaphore controls, distributed queue buffering, service degradation tactics, and multi‑layer caching techniques to maintain high availability and data consistency.

Backendcachingjava
0 likes · 9 min read
Distributed Service Rate Limiting, Degradation, and Caching Strategies
HelloTech
HelloTech
Dec 15, 2022 · Backend Development

Optimization of Reverse Geocoding Service: Caching, GeoHash, and LRU Strategies

By eliminating unnecessary reverse‑geocode calls, aggregating nearby coordinates with GeoHash, and employing a multi‑layer LRU‑K cache with time‑ and access‑count eviction, the Hellobike map team cut daily requests from 200‑300 million to 20‑30 million while adding fallback and monitoring mechanisms.

BackendGeoHashLRU
0 likes · 13 min read
Optimization of Reverse Geocoding Service: Caching, GeoHash, and LRU Strategies
Top Architect
Top Architect
Dec 9, 2022 · Backend Development

In-Memory Caching with Guava LoadingCache: Design, Algorithms, and Best Practices

This article explains the principles and practical implementation of in‑memory caching using Guava’s LoadingCache, covering cache initialization parameters, put and loading strategies, eviction policies, common algorithms such as LRU, LFU, FIFO, and tips for avoiding memory issues and monitoring cache performance.

GuavaLRULoadingCache
0 likes · 15 min read
In-Memory Caching with Guava LoadingCache: Design, Algorithms, and Best Practices
Liangxu Linux
Liangxu Linux
Dec 6, 2022 · Fundamentals

How to Master High‑Performance Computing: 9 Practical Strategies

This article breaks down nine essential techniques—ranging from faster CPU execution and effective caching to reducing interrupts, memory copies, and lock contention—to help developers systematically improve software performance across hardware and software layers.

AlgorithmsCPUI/O
0 likes · 7 min read
How to Master High‑Performance Computing: 9 Practical Strategies
Tencent Cloud Developer
Tencent Cloud Developer
Dec 1, 2022 · Databases

Mastering Redis: From Basics, Installation to Advanced Features and Real‑World Use Cases

This comprehensive guide explains what Redis is, its core data structures, typical scenarios such as caching, counters, message queues and leaderboards, installation steps on Linux, configuration options, advanced features like pipelines, Lua scripting, persistence mechanisms, replication, caching strategies, consistency challenges, and distributed locking techniques.

Data StructuresDistributed LocksPersistence
0 likes · 64 min read
Mastering Redis: From Basics, Installation to Advanced Features and Real‑World Use Cases
Architect's Guide
Architect's Guide
Dec 1, 2022 · Databases

Comprehensive Guide to Redis: Architecture, Data Structures, Persistence, Replication, Clustering, and Advanced Features

This article provides an in‑depth overview of Redis, covering its single‑threaded architecture, core data structures (String, Hash, List, Set, ZSet), persistence mechanisms (RDB, AOF, hybrid), replication, Sentinel and cluster designs, memory eviction policies, bitmap analytics, skiplist implementation, and strategies for ensuring data consistency.

ConsistencyData StructuresPersistence
0 likes · 27 min read
Comprehensive Guide to Redis: Architecture, Data Structures, Persistence, Replication, Clustering, and Advanced Features
Java Architect Essentials
Java Architect Essentials
Nov 27, 2022 · Backend Development

Service Rate Limiting, Degradation, and Caching Strategies for High‑Concurrency E‑commerce Interfaces

The article explains how to protect a suddenly hot product API in an e‑commerce system by applying caching, various rate‑limiting algorithms, service degradation techniques, and distributed caching patterns, providing concrete Java code and architectural recommendations for backend developers.

BackendDistributed Systemscaching
0 likes · 9 min read
Service Rate Limiting, Degradation, and Caching Strategies for High‑Concurrency E‑commerce Interfaces
Su San Talks Tech
Su San Talks Tech
Nov 26, 2022 · Fundamentals

Unlock Java Power: Master Guava’s Joiner, Splitter, CharMatcher & More

This article explores Google Guava’s most useful utilities—including Joiner, Splitter, CharMatcher, Multiset, Immutable collections, Multimap, BiMap, Table, Functions, Predicate, and Cache—showing how they simplify string handling, collection manipulation, caching, and asynchronous callbacks, with practical code examples and performance insights.

CollectionsGuavaString Utilities
0 likes · 10 min read
Unlock Java Power: Master Guava’s Joiner, Splitter, CharMatcher & More
Qunar Tech Salon
Qunar Tech Salon
Nov 18, 2022 · Cloud Computing

Optimizing Qunar's Serverless Platform: Parallel Computation, Thread‑Pool Design, and Cache Governance

This article details how Qunar improved its Serverless FAAS platform by introducing Node.js worker_threads for parallel computation, designing a thread‑pool with shared buffers and postMessage communication, and implementing comprehensive cache pre‑heating and governance, resulting in a 72% reduction in P99 latency and more stable service performance.

Cloud FunctionsNode.jsServerless
0 likes · 18 min read
Optimizing Qunar's Serverless Platform: Parallel Computation, Thread‑Pool Design, and Cache Governance
Architecture Digest
Architecture Digest
Nov 18, 2022 · Backend Development

Design and Implementation of a Short URL Service

This article explains the value of short URLs, the HTTP redirection principle behind them, and provides detailed design and implementation strategies—including hash‑based and distributed‑ID approaches, base‑62 encoding, database storage, caching, indexing, and security measures—to build a scalable short‑link service.

HTTP redirectcachingdatabase indexing
0 likes · 12 min read
Design and Implementation of a Short URL Service
IT Architects Alliance
IT Architects Alliance
Nov 16, 2022 · Backend Development

How to Transform a Simple Blog into a Scalable High‑Traffic System

This article walks through turning a basic personal‑blog architecture—single server, MySQL, and Node.js—into a high‑concurrency system by adding Redis caching, Nginx load balancing, horizontal scaling, read‑write splitting, sharding, NewSQL databases, and message‑queue techniques.

BackendNewSQLScalability
0 likes · 15 min read
How to Transform a Simple Blog into a Scalable High‑Traffic System
Tencent Cloud Developer
Tencent Cloud Developer
Nov 15, 2022 · Operations

Mastering High-Concurrency: Architecture, Scaling, and Performance Strategies

This article explains the core challenges of handling massive simultaneous requests and presents a comprehensive high‑concurrency architecture, covering infrastructure deployment, service‑side design, application‑level optimizations, clustering, database sharding, caching layers, message‑queue smoothing, service governance, resource isolation, and practical techniques such as multithreading and coroutine usage.

ScalabilitySystem Architecturecaching
0 likes · 10 min read
Mastering High-Concurrency: Architecture, Scaling, and Performance Strategies
Architecture Digest
Architecture Digest
Nov 14, 2022 · Backend Development

Design and Implementation of a Coupon System for a Rental Platform

This article details the design and implementation of a coupon system for a rental platform, covering business flow, database schema, backend services, caching strategies, state management, and future optimization directions to ensure reliable coupon distribution and redemption.

Coupon SystemMicroservicesbackend design
0 likes · 20 min read
Design and Implementation of a Coupon System for a Rental Platform
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 10, 2022 · Backend Development

Designing a Modular Backend Service with DDD, Caching, Dynamic Proxies and Extensible Configuration

This article explains how to build a modular backend service in Java using domain‑driven design, configurable modules, dynamic proxies, cache adapters, lambda‑based query conditions, and Spring‑based conditional bean loading to enable flexible extensions without altering existing code.

BackendDomain-Driven DesignDynamic Proxy
0 likes · 25 min read
Designing a Modular Backend Service with DDD, Caching, Dynamic Proxies and Extensible Configuration
Top Architect
Top Architect
Nov 8, 2022 · Backend Development

Understanding In-Memory Caching with Guava LoadingCache and LRU Implementation in Java

This article explains the fundamentals of in‑memory caching, compares it with buffering, introduces Guava's LoadingCache configuration and operations, discusses eviction strategies, illustrates common cache algorithms (FIFO, LRU, LFU), provides a simple LRU implementation using LinkedHashMap, and offers practical guidelines for when and how to apply caching to improve backend performance.

GuavaLRULoadingCache
0 likes · 14 min read
Understanding In-Memory Caching with Guava LoadingCache and LRU Implementation in Java
Architecture Digest
Architecture Digest
Nov 7, 2022 · Backend Development

Comprehensive Guide to Software Performance Optimization: Indexing, Compression, Caching, Prefetching, Throttling, and Batch Processing

This article presents a thorough, multi‑part exploration of software performance optimization techniques—including indexing, compression, caching, prefetching, peak‑shaving, and batch processing—explaining their principles, trade‑offs, practical applications, and how they relate to hardware constraints and system design.

Batch ProcessingScalabilitycaching
0 likes · 36 min read
Comprehensive Guide to Software Performance Optimization: Indexing, Compression, Caching, Prefetching, Throttling, and Batch Processing
Architects Research Society
Architects Research Society
Nov 4, 2022 · Fundamentals

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

This article outlines eBay's key scalability best practices—including functional decomposition, horizontal sharding, avoiding distributed transactions, asynchronous decoupling, virtualization, and intelligent caching—to demonstrate how large‑scale web systems can achieve linear resource growth and high availability.

AsynchronousOperationsScalability
0 likes · 14 min read
eBay Scalability Best Practices: Functional Partitioning, Horizontal Sharding, Async Decoupling, and More
Baidu Geek Talk
Baidu Geek Talk
Nov 3, 2022 · Cloud Native

Challenges and Solutions for AI Storage Systems in Cloud‑Native Training

The talk outlines how AI training’s growing data and compute demands create storage bottlenecks across four evolutionary stages, identifies four core problems—massive data, data‑flow, resource scheduling, and compute acceleration—and proposes hardware, software (parallel file systems, caching), and cloud‑native orchestration (Fluid, Baidu Canghai) solutions that combine object‑storage lakes with high‑performance acceleration layers to achieve near‑full GPU utilization.

AICloud NativeData Lake
0 likes · 37 min read
Challenges and Solutions for AI Storage Systems in Cloud‑Native Training
Alibaba Terminal Technology
Alibaba Terminal Technology
Nov 3, 2022 · Mobile Development

How to Supercharge Mobile Seat-Selection Apps: Data, Caching, and Rendering Optimizations

This article details comprehensive strategies for handling massive seat‑selection data on mobile devices, covering data modeling, interface pre‑loading, static and dynamic compression, view hierarchy tweaks, bitmap reuse, drawing optimizations, hardware acceleration, and multithreaded task handling to dramatically improve load times and frame rates.

AndroidMobilecaching
0 likes · 21 min read
How to Supercharge Mobile Seat-Selection Apps: Data, Caching, and Rendering Optimizations
Code Ape Tech Column
Code Ape Tech Column
Nov 1, 2022 · Backend Development

Performance Optimization of Template Variable Replacement in Alipay Card Package

This article analyzes the original template‑variable replacement logic used in Alipay's card package, identifies costly String.replace operations, and presents five iterative optimizations—including removal of indexOf/substring, caching with Guava, and replacing String.replace with StringBuilder—that together achieve more than a ten‑fold speedup while discussing trade‑offs in readability and resource consumption.

Template Enginebackend-developmentcaching
0 likes · 8 min read
Performance Optimization of Template Variable Replacement in Alipay Card Package
ITPUB
ITPUB
Oct 30, 2022 · Backend Development

Avoid Stale Data: Master Cache Aside, Read‑Through, Write‑Through & Write‑Behind Strategies

This article explains common cache update patterns—Cache Aside, Read‑Through, Write‑Through, and Write‑Behind—illustrates their read/write flows, highlights typical pitfalls such as dirty data caused by wrong update order, and offers practical safeguards for maintaining data consistency in large‑scale systems.

Backendcache-asidecaching
0 likes · 8 min read
Avoid Stale Data: Master Cache Aside, Read‑Through, Write‑Through & Write‑Behind Strategies
Wukong Talks Architecture
Wukong Talks Architecture
Oct 29, 2022 · Backend Development

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

This article presents a comprehensive analysis of flash‑sale (秒杀) system requirements, performance estimations, non‑functional constraints, and detailed architectural designs—including dynamic‑static separation, traffic layering, high‑availability, and stock‑deduction strategies—along with the key technologies needed to support million‑level concurrent traffic.

Backend Architecturecachingdynamic static separation
0 likes · 16 min read
Design and Architecture of a High‑Concurrency Flash Sale (秒杀) System
Programmer DD
Programmer DD
Oct 28, 2022 · Backend Development

How to Build a Million-User Flash Sale System: Architecture, Scaling & Performance

This article details the end‑to‑end design of a high‑traffic flash‑sale (秒杀) system, covering functional and non‑functional requirements, performance estimations, dynamic/static separation, traffic‑layer control, high‑availability strategies, inventory‑deduction methods, and the key technologies needed for a resilient, scalable backend.

System Architecturecachingflash sale
0 likes · 17 min read
How to Build a Million-User Flash Sale System: Architecture, Scaling & Performance
Top Architect
Top Architect
Oct 23, 2022 · Backend Development

In‑Memory Cache Design with Guava LoadingCache, Eviction Strategies, and LRU Implementation

This article explains the fundamentals of in‑memory caching, introduces Guava's LoadingCache API, discusses cache sizing, eviction policies, common algorithms like FIFO, LRU, LFU, shows a simple LRU implementation using LinkedHashMap, and provides practical guidance on when and how to apply caching for performance optimization.

BackendGuavaLRU
0 likes · 14 min read
In‑Memory Cache Design with Guava LoadingCache, Eviction Strategies, and LRU Implementation
Inke Technology
Inke Technology
Oct 20, 2022 · Backend Development

How We Cut 60% of Backend Load with Go’s singleflight and Smart Caching

This article examines how the mic‑queue list in a live‑streaming app caused heavy server load due to three‑second polling, and details a systematic performance‑optimization process—including analysis, reducing I/O, employing Go’s singleflight caching, and switching JSON libraries—to cut resource usage by up to 60% while preserving user experience.

BackendGolangSingleflight
0 likes · 7 min read
How We Cut 60% of Backend Load with Go’s singleflight and Smart Caching
Efficient Ops
Efficient Ops
Oct 18, 2022 · Fundamentals

Unlocking the Secrets of HTTP: From Requests to QUIC and Beyond

This article explains the fundamentals of the HTTP protocol, covering request preparation, message structure, methods, headers, caching, the request/response cycle, HTTP/2 enhancements, and the QUIC protocol's advanced features for faster, more reliable web communication.

HTTPHTTP2Networking
0 likes · 18 min read
Unlocking the Secrets of HTTP: From Requests to QUIC and Beyond
DaTaobao Tech
DaTaobao Tech
Oct 18, 2022 · Frontend Development

Client‑Side Interface Performance Optimization: Analysis and Solutions

Client‑side developers can boost API speed and user experience by collaborating with back‑end teams to cut server processing and network latency, using caching, concurrency, smaller or UDP‑based packets, and aggressively pruning or compressing payloads, which can shrink megabyte responses to tens of kilobytes and shave dozens of milliseconds off latency.

API optimizationAsynchronousNetwork Latency
0 likes · 9 min read
Client‑Side Interface Performance Optimization: Analysis and Solutions
Sanyou's Java Diary
Sanyou's Java Diary
Oct 8, 2022 · Backend Development

How to Keep Cache and Database Consistent: Strategies, Pitfalls, and Best Practices

This article explains why cache‑database consistency is a classic challenge, compares common update‑then‑delete patterns, analyzes concurrency and master‑slave delay issues, and recommends reliable solutions such as asynchronous retries with message queues or binlog subscription to achieve eventual consistency.

asynchronous-retrycachingdatabase-consistency
0 likes · 18 min read
How to Keep Cache and Database Consistent: Strategies, Pitfalls, and Best Practices
Programmer DD
Programmer DD
Oct 8, 2022 · Fundamentals

Eight Timeless Computer Architecture Principles Every Designer Should Know

This article outlines eight enduring ideas—from designing for Moore's Law and using abstraction to speeding up common cases, leveraging parallelism, pipelining, prediction, memory hierarchy, and redundancy—that have shaped computer architecture over the past six decades.

Moore's LawParallelismPipeline
0 likes · 11 min read
Eight Timeless Computer Architecture Principles Every Designer Should Know
IT Architects Alliance
IT Architects Alliance
Oct 7, 2022 · Fundamentals

Eight Common Software Architecture Design Patterns and Their Advantages and Disadvantages

The article introduces eight widely used software architecture design patterns—including single‑database single‑application, content distribution, query separation, microservices, multi‑level caching, sharding, elastic scaling, and multi‑data‑center modes—explaining their structures, typical use cases, and the pros and cons of each.

Design PatternsMicroservicesScalability
0 likes · 20 min read
Eight Common Software Architecture Design Patterns and Their Advantages and Disadvantages
Wukong Talks Architecture
Wukong Talks Architecture
Sep 30, 2022 · Backend Development

Performance Optimization Techniques Illustrated with Naruto Analogies

This article presents ten performance‑optimization techniques—including indexing, compression, caching, prefetching, throttling, batch processing, resource squeezing, horizontal scaling, sharding, and lock‑free designs—explained through Naruto‑themed analogies and practical guidance for backend systems.

DistributedScalabilitycaching
0 likes · 37 min read
Performance Optimization Techniques Illustrated with Naruto Analogies
Java Architect Essentials
Java Architect Essentials
Sep 27, 2022 · Backend Development

How to Combine Redis and Guava for Lazy‑Loading Cache in Java

This article explains how to reduce Redis read/write pressure by introducing a Guava local cache for lazy loading, presents design diagrams, provides complete Java code examples for both simple lazy caching and a microservice‑oriented device‑increment cache, and discusses the advantages, disadvantages, and practical considerations of each approach.

GuavaMicroservicescaching
0 likes · 11 min read
How to Combine Redis and Guava for Lazy‑Loading Cache in Java
MaGe Linux Operations
MaGe Linux Operations
Sep 27, 2022 · Databases

What Is Redis? A Deep Dive into Its Architecture and Persistence

Redis is an open‑source, in‑memory key‑value store that functions as a data‑structure server, offering caching, replication, high‑availability, clustering, and various persistence options such as RDB snapshots and AOF logs, with detailed deployment models including single instances, Sentinel, and cluster architectures.

ClusterIn-Memory DatabasePersistence
0 likes · 18 min read
What Is Redis? A Deep Dive into Its Architecture and Persistence
macrozheng
macrozheng
Sep 22, 2022 · Backend Development

How Switching to StringBuilder Made Template Rendering 10× Faster

An in‑depth case study of Alipay’s card‑coupon template engine reveals that replacing costly String.replace calls with a custom StringBuilder implementation, combined with caching strategies, can boost rendering performance by more than tenfold, while also reducing memory overhead and improving scalability.

Template Enginecachingjava
0 likes · 11 min read
How Switching to StringBuilder Made Template Rendering 10× Faster
ByteDance Terminal Technology
ByteDance Terminal Technology
Sep 15, 2022 · Mobile Development

Cloud-Based Dependency Analysis for CocoaPods: Architecture and Optimization at ByteDance

This article describes ByteDance's cloud‑based CocoaPods dependency analysis service, explaining its background, architecture, caching mechanisms, material pruning, and decision‑making strategies that together reduce iOS build dependency resolution time by over 60% while maintaining correctness and low integration cost.

Build OptimizationCloud ServicesCocoaPods
0 likes · 14 min read
Cloud-Based Dependency Analysis for CocoaPods: Architecture and Optimization at ByteDance
Sohu Tech Products
Sohu Tech Products
Sep 14, 2022 · Databases

Understanding Redis Memory Fragmentation and How to Manage It

This article explains why Redis may show high OS‑allocated memory despite low data usage, describes the causes of memory fragmentation, and provides practical steps—including configuration changes and automatic defragmentation settings—to diagnose and mitigate fragmentation for stable performance.

Memory Fragmentationcachingdatabases
0 likes · 9 min read
Understanding Redis Memory Fragmentation and How to Manage It
Senior Brother's Insights
Senior Brother's Insights
Sep 14, 2022 · Backend Development

From Single Server to Cloud‑Native: 14 Stages of Scaling a Large‑Scale Website

This article walks through the evolution of a high‑traffic e‑commerce site—from a single‑machine setup to cloud‑native microservices—detailing each architectural milestone, the problems it solves, key technologies involved, and design principles for building scalable, highly available systems.

Cloud NativeScalabilityarchitecture evolution
0 likes · 22 min read
From Single Server to Cloud‑Native: 14 Stages of Scaling a Large‑Scale Website
Top Architect
Top Architect
Sep 8, 2022 · Backend Development

Eight Common Backend Architecture Design Patterns and Their Pros & Cons

This article explains eight common backend architecture design patterns—including single‑database single‑app, content distribution, query separation, microservices, multi‑level caching, sharding, elastic scaling, and multi‑datacenter deployment—detailing their structures, typical use cases, advantages, and disadvantages for large‑scale system design.

Backend ArchitectureScalabilitycaching
0 likes · 21 min read
Eight Common Backend Architecture Design Patterns and Their Pros & Cons
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 8, 2022 · Backend Development

Boosting Template Rendering 10×: Replace String.replace with StringBuilder

By analyzing the Alipay card‑package template substitution logic, the author identified costly String.replace calls and iteratively applied five optimization versions—removing indexOf/substring, adding caching, and finally substituting StringBuilder for String.replace—achieving over tenfold performance gains and reduced resource consumption.

Template Renderingcachingjava
0 likes · 9 min read
Boosting Template Rendering 10×: Replace String.replace with StringBuilder
Architecture Digest
Architecture Digest
Sep 6, 2022 · Backend Development

Eight Common Software Architecture Design Patterns and Their Advantages & Disadvantages

The article introduces eight widely used software architecture design patterns—single‑database single‑application, content distribution, query separation, microservices, multi‑level caching, sharding, elastic scaling, and multi‑data‑center deployment—explaining their structures, typical use cases, and the key pros and cons of each.

MicroservicesScalabilitybackend-development
0 likes · 21 min read
Eight Common Software Architecture Design Patterns and Their Advantages & Disadvantages
Java High-Performance Architecture
Java High-Performance Architecture
Sep 2, 2022 · Backend Development

Eight Essential Software Architecture Patterns Every Backend Engineer Should Master

This article explains eight core software architecture patterns—from single‑database single‑application to microservices, multi‑level caching, and multi‑datacenter deployments—detailing their designs, typical use cases, advantages, and drawbacks to help engineers choose the right approach for scalable, high‑performance systems.

ScalabilitySoftware Architecturecaching
0 likes · 23 min read
Eight Essential Software Architecture Patterns Every Backend Engineer Should Master
Programmer DD
Programmer DD
Sep 2, 2022 · Databases

Unlock MySQL Binlog: Powering Replication and Real‑World Business Use Cases

This article explains MySQL’s binlog, how it enables master‑slave replication, and explores three practical business uses—data heterogeneity, cache synchronization, and task dispatch—showing how a middleware that pretends to be a slave can leverage binlog events to improve system architecture and performance.

BinlogReplicationcaching
0 likes · 7 min read
Unlock MySQL Binlog: Powering Replication and Real‑World Business Use Cases
Qunar Tech Salon
Qunar Tech Salon
Aug 29, 2022 · Backend Development

High‑Performance Thinking and Optimization Practices for Backend Systems

This article defines software performance as executor + (process + IO + computation), explains when performance should be considered, and presents a comprehensive framework of executor, I/O‑type, and generic optimizations—including concurrency, sharding, caching, compression, async, batching, and algorithmic improvements—supported by cross‑domain case studies.

Asynchronouscachingdevperfops
0 likes · 40 min read
High‑Performance Thinking and Optimization Practices for Backend Systems
Top Architect
Top Architect
Aug 18, 2022 · Backend Development

Common Causes of Backend Interface Performance Issues and Their Optimization Strategies

The article systematically analyzes why backend APIs become slow—covering database slow queries, complex business logic, thread‑pool misconfiguration, lock design flaws, and machine problems—and presents practical Java‑based optimization techniques such as pagination fixes, index tuning, multithreading, proper thread‑pool sizing, lock refinement, caching, and asynchronous callbacks.

Backendcachingdatabase
0 likes · 18 min read
Common Causes of Backend Interface Performance Issues and Their Optimization Strategies
Wukong Talks Architecture
Wukong Talks Architecture
Aug 11, 2022 · Fundamentals

Common Pitfalls and Core Concepts of Distributed Systems, Message Queues, Caching, Sharding, and Transactions

This article provides a comprehensive overview of distributed system fundamentals—including CAP and BASE theories—while detailing typical pitfalls and mitigation strategies for message queues, distributed caches, database sharding, and distributed transactions, helping engineers decide when and how to adopt distributed architectures.

BASE modelCAP theoremcaching
0 likes · 23 min read
Common Pitfalls and Core Concepts of Distributed Systems, Message Queues, Caching, Sharding, and Transactions
21CTO
21CTO
Aug 10, 2022 · Backend Development

How to Build Scalable High‑Concurrency Systems: Key Architecture Strategies

This article explains why high concurrency is a critical challenge for large‑scale internet systems and outlines the core architectural methods—vertical and horizontal scaling, distributed clusters, load balancing, caching, message queues, sharded databases, and microservices—to reliably handle massive simultaneous user requests.

Scalabilitycachinghigh concurrency
0 likes · 13 min read
How to Build Scalable High‑Concurrency Systems: Key Architecture Strategies
ITPUB
ITPUB
Aug 9, 2022 · Backend Development

Mastering Cache Strategies: From Local to Multi‑Level for High‑Performance Systems

This article walks through practical cache designs—local page caching, object caching with Ehcache, distributed caches like Redis and Memcached, and multi‑level cache architectures—showing real‑world code, refresh policies, and pitfalls to help engineers boost performance and stability in high‑traffic applications.

BackendMulti-level Cachecaching
0 likes · 13 min read
Mastering Cache Strategies: From Local to Multi‑Level for High‑Performance Systems
Java Architect Essentials
Java Architect Essentials
Jul 31, 2022 · Backend Development

Comprehensive Guide to Backend Interface Performance Optimization

This article summarizes the author's experience optimizing backend interface performance, covering common causes such as slow MySQL queries, complex business logic, thread‑pool and lock design flaws, and offers practical solutions including pagination tricks, indexing, caching, multithreading, and asynchronous callbacks.

Backendcachingoptimization
0 likes · 17 min read
Comprehensive Guide to Backend Interface Performance Optimization
Java High-Performance Architecture
Java High-Performance Architecture
Jul 28, 2022 · Backend Development

How to Accelerate Complex Search Queries with Redis Caching and SQL Optimization

This article walks through three progressive implementations for handling intricate e‑commerce search filters—starting with a raw SQL approach, then optimizing with indexed queries and split statements, and finally leveraging Redis sets and sorted sets for caching, pagination, and high‑performance query execution.

Backendcachingredis
0 likes · 8 min read
How to Accelerate Complex Search Queries with Redis Caching and SQL Optimization
vivo Internet Technology
vivo Internet Technology
Jul 27, 2022 · Frontend Development

Multi-Tab Caching Strategies for Micro‑Frontend Applications Using qiankun

The Vivo Internet Front‑End team explains how to implement multi‑tab functionality and efficient caching in a qiankun‑based micro‑frontend architecture, comparing CSS hide/show and component‑level keep‑alive approaches, then presenting two strategies—simultaneous mounting versus app‑level vnode caching—choosing the latter for reduced memory usage and detailing its Vue‑specific implementation, communication handling, and future Vue 3 migration.

Vuecachingfrontend
0 likes · 17 min read
Multi-Tab Caching Strategies for Micro‑Frontend Applications Using qiankun
政采云技术
政采云技术
Jul 26, 2022 · Backend Development

Deep Dive into MyBatis: Architecture, Execution Flow, Plugins, Caching, and Spring Integration

This article provides a comprehensive analysis of MyBatis, covering its core architecture, the process of obtaining SqlSessionFactory and SqlSession, the dynamic proxy mechanism for mappers, the execution flow of SQL statements, the plugin system, first‑ and second‑level caching strategies, and how Spring manages MyBatis mappers through factory beans and import registrars.

MyBatisORMPlugins
0 likes · 39 min read
Deep Dive into MyBatis: Architecture, Execution Flow, Plugins, Caching, and Spring Integration
IT Architects Alliance
IT Architects Alliance
Jul 25, 2022 · Backend Development

System Splitting and Architectural Evolution: Strategies for Scaling and Decoupling

To improve capacity and robustness as business complexity grows, this article explains system splitting—including horizontal, vertical, business, and database sharding—and architectural evolution techniques such as caching, indexing, microservices, and service governance, illustrating practical strategies for scalable, resilient backend architectures.

MicroservicesScalabilitycaching
0 likes · 10 min read
System Splitting and Architectural Evolution: Strategies for Scaling and Decoupling
Top Architect
Top Architect
Jul 21, 2022 · Backend Development

Performance Monitoring and Optimization Practices for Backend Systems

The article outlines practical approaches to monitor and resolve performance bottlenecks in backend applications, covering database slow‑query logs, interface latency, message‑queue backlogs, segmentation timing, caching, batch calls, multithreading, and database tuning techniques such as indexing and transaction isolation.

Backendcachingmonitoring
0 likes · 9 min read
Performance Monitoring and Optimization Practices for Backend Systems
FunTester
FunTester
Jul 21, 2022 · Databases

Scaling Databases with Distributed Sharding and Peak‑Shaving Strategies

The article explains why simply adding hardware cannot keep up with growing database workloads and presents a three‑step approach—business isolation, horizontal sharding, and advanced reporting using PolarDB‑X—to achieve high concurrency, elastic capacity, and efficient caching for modern high‑traffic applications.

Distributed SystemsPeak ShavingPolarDB-X
0 likes · 7 min read
Scaling Databases with Distributed Sharding and Peak‑Shaving Strategies
Selected Java Interview Questions
Selected Java Interview Questions
Jul 19, 2022 · Backend Development

Comprehensive Guide to Identifying and Solving Backend Interface Performance Issues

This article recounts a backend team's experience of addressing numerous slow API endpoints, detailing root causes such as MySQL slow queries, complex business logic, thread‑pool and lock misconfigurations, and offers practical solutions including pagination fixes, indexing, query refactoring, concurrency improvements, and caching strategies.

Backendcachingmysql
0 likes · 16 min read
Comprehensive Guide to Identifying and Solving Backend Interface Performance Issues
Java Backend Technology
Java Backend Technology
Jul 19, 2022 · Backend Development

How to Diagnose and Fix Common API Performance Bottlenecks in Java Backend

This article walks through real‑world API performance complaints, identifies root causes such as slow MySQL queries, thread‑pool misconfiguration, lock contention and machine issues, and presents practical solutions ranging from pagination rewrites and index tuning to multithreading, caching and async callbacks.

Backendcachingoptimization
0 likes · 17 min read
How to Diagnose and Fix Common API Performance Bottlenecks in Java Backend
IT Architects Alliance
IT Architects Alliance
Jul 18, 2022 · Backend Development

Cache Design and Optimization Strategies in High‑Concurrency Distributed Systems

The article explains the benefits, costs, and various update, penetration, no‑hole, avalanche, and hot‑key optimization techniques for caching in high‑concurrency distributed systems, providing practical guidance on choosing appropriate strategies based on consistency requirements and system load.

Cache EvictionDistributed Systemscache-penetration
0 likes · 16 min read
Cache Design and Optimization Strategies in High‑Concurrency Distributed Systems
Ops Development Stories
Ops Development Stories
Jul 15, 2022 · Databases

Unlock Redis Mastery: 40+ Diagrams & 30k Words of Interview Essentials

This comprehensive guide covers everything from Redis fundamentals, data structures, and thread model to persistence strategies, clustering, memory eviction policies, cache design patterns, and advanced use‑cases like delayed queues, large‑key handling, pipelines, transactions, and distributed locking, providing interview‑ready knowledge for developers.

ClusterPersistencecaching
0 likes · 66 min read
Unlock Redis Mastery: 40+ Diagrams & 30k Words of Interview Essentials
Architect
Architect
Jul 11, 2022 · Databases

Understanding Redis: Features, Use Cases, and Architectural Evolution

Redis is an open‑source, in‑memory data store that supports various data types, persistence, replication, Sentinel, clustering, Lua scripting, pipelines, and distributed locks, and the article walks through its evolution from simple caching to a high‑availability, horizontally scalable database solution.

ClusterIn-Memory Databasecaching
0 likes · 12 min read
Understanding Redis: Features, Use Cases, and Architectural Evolution
DaTaobao Tech
DaTaobao Tech
Jul 11, 2022 · Backend Development

Optimizing System Design for a High‑Traffic Gather‑Order Page with Multi‑Level Caching and Chain‑of‑Responsibility

The author refactors a high‑traffic gather‑order page by introducing a reusable multi‑level cache with update‑key validation, Redis distributed locks and asynchronous refresh, and by restructuring the processing flow using a chain‑of‑responsibility/command pattern, while also handling pagination, weighted sorting, and time‑bound marketing keys to improve reliability, extensibility, and performance.

BackendDesign PatternsSystem Design
0 likes · 29 min read
Optimizing System Design for a High‑Traffic Gather‑Order Page with Multi‑Level Caching and Chain‑of‑Responsibility
Ctrip Technology
Ctrip Technology
Jul 7, 2022 · Big Data

Design and Implementation of a Unified Data Service Platform for Reducing Development Cost and Enhancing Efficiency

The article describes how Ctrip built a unified data service platform that standardizes API development, leverages multiple storage engines, introduces token‑based security, Sentinel rate‑limiting, caching, and automatic contract generation to dramatically cut development cycles and improve reliability for big‑data workloads.

APIBig DataData Platform
0 likes · 10 min read
Design and Implementation of a Unified Data Service Platform for Reducing Development Cost and Enhancing Efficiency
Top Architect
Top Architect
Jul 4, 2022 · Backend Development

High‑Concurrency Architecture Design and Practical Solutions

This article explains how to design and implement a high‑concurrency system for e‑commerce scenarios, covering server architecture, load balancing, database clustering, caching strategies, concurrency testing tools, message‑queue based async processing, first‑level cache, static data handling, layering, distribution, redundancy and automation, with concrete examples such as user sign‑in, order queries and red‑packet distribution.

Backend ArchitectureDistributed SystemsPerformance Testing
0 likes · 20 min read
High‑Concurrency Architecture Design and Practical Solutions
MaGe Linux Operations
MaGe Linux Operations
Jul 1, 2022 · Backend Development

How to Build a High‑Performance Flash‑Sale System: Architecture, Caching, and Scaling Strategies

This article explains how to design a high‑concurrency flash‑sale (秒杀) system by optimizing concurrent reads and writes, applying API and architecture principles, separating dynamic and static data, handling hot items, shaping traffic, improving performance, managing inventory reduction, and implementing robust fallback mechanisms for high availability.

System ArchitectureTraffic Shapingcaching
0 likes · 46 min read
How to Build a High‑Performance Flash‑Sale System: Architecture, Caching, and Scaling Strategies
Top Architect
Top Architect
Jun 24, 2022 · Backend Development

Design and Implementation of Baidu App Personal Wallet: Architecture, Data Synchronization, Multi‑Level Caching, and Configuration

This article details the end‑to‑end design of Baidu App’s personal wallet, covering background requirements, business integration, system architecture, data‑sync mechanisms, multi‑level caching, read‑write separation, data consistency, configuration management, and database sharding to achieve high availability and scalability.

BackendConfigurationRead-Write Separation
0 likes · 17 min read
Design and Implementation of Baidu App Personal Wallet: Architecture, Data Synchronization, Multi‑Level Caching, and Configuration
High Availability Architecture
High Availability Architecture
Jun 24, 2022 · Backend Development

Improving Cache Invalidation and Consistency at Scale

Meta engineers describe the challenges of cache invalidation and consistency in large‑scale distributed systems, explain why stale caches are problematic, present their Polaris observability service and consistency‑tracking techniques, and detail how they raised TAO’s cache consistency from six‑nines to ten‑nines.

ConsistencyDistributed Systemscache invalidation
0 likes · 17 min read
Improving Cache Invalidation and Consistency at Scale
macrozheng
macrozheng
Jun 24, 2022 · Backend Development

Master Redis Data Types: Real‑World Use Cases & Implementation Guide

This comprehensive guide explains Redis's core and newer data types—including String, List, Hash, Set, Zset, BitMap, HyperLogLog, GEO, and Stream—detailing their internal implementations, essential commands, and practical scenarios such as caching, counting, locking, ranking, geolocation, and reliable message queuing.

Data Structurescachingperformance
0 likes · 46 min read
Master Redis Data Types: Real‑World Use Cases & Implementation Guide
Bin's Tech Cabin
Bin's Tech Cabin
Jun 24, 2022 · Backend Development

When Timestamp Caching Backfires: Sentinel’s Adaptive Solution Explained

The article examines how naive timestamp caching can increase CPU usage under high concurrency, analyzes implementations in Alibaba’s Cobar and Sentinel, presents performance test results, and explains Sentinel’s adaptive algorithm that switches between cached and direct timestamps based on QPS.

BackendGolangcaching
0 likes · 12 min read
When Timestamp Caching Backfires: Sentinel’s Adaptive Solution Explained
Architecture Digest
Architecture Digest
Jun 23, 2022 · Backend Development

Design and Implementation of Baidu App’s Personal Wallet: Architecture, Data Synchronization, Caching, and High‑Availability Strategies

This article presents a comprehensive case study of Baidu App’s personal wallet, detailing its background, business goals, system architecture, data‑synchronization mechanisms, multi‑level caching, read‑write separation, consistency guarantees, configuration management, and database sharding to achieve high availability and scalable performance.

BackendConfigurationSystem Architecture
0 likes · 18 min read
Design and Implementation of Baidu App’s Personal Wallet: Architecture, Data Synchronization, Caching, and High‑Availability Strategies
WeDoctor Frontend Technology
WeDoctor Frontend Technology
Jun 21, 2022 · Fundamentals

From HTTP/0.9 to HTTP/3: Evolution of Web Protocols Explained

This article traces the development of the HTTP protocol from its earliest 0.9 version through 1.0, 1.1, 2.0, and the modern HTTP/3 over QUIC, detailing key features, header compression, multiplexing, caching mechanisms, server push, and the security and performance trade‑offs of each iteration.

HTTPHTTP/2HTTP/3
0 likes · 20 min read
From HTTP/0.9 to HTTP/3: Evolution of Web Protocols Explained
Baidu Geek Talk
Baidu Geek Talk
Jun 20, 2022 · Backend Development

How Baidu’s “My Wallet” Unified User Assets with Scalable Backend Architecture

This article details the design and implementation of Baidu App’s “My Wallet” feature, covering its background, business goals, system architecture, data synchronization, multi‑level caching, read‑write separation, data consistency, configurability, and database sharding to achieve high availability and performance for billions of users.

BackendConfigurationRead-Write Separation
0 likes · 18 min read
How Baidu’s “My Wallet” Unified User Assets with Scalable Backend Architecture
ITPUB
ITPUB
Jun 19, 2022 · Backend Development

Mastering Cache Design: Solving the 7 Classic Pitfalls in High‑Traffic Systems

This article explores common cache challenges such as centralized expiration, cache penetration, avalanche, hot keys, large keys, data consistency, and concurrent pre‑warming, offering practical design patterns and mitigation strategies to build robust, high‑performance backend systems.

BackendCache DesignDistributed Systems
0 likes · 10 min read
Mastering Cache Design: Solving the 7 Classic Pitfalls in High‑Traffic Systems
Weimob Technology Center
Weimob Technology Center
Jun 17, 2022 · Backend Development

How an External Resource Manager Boosts Service Resilience with Multi‑Layer Caching

This article explains the design and operation of an external resource manager that improves overseas e‑commerce service stability by employing CDN, local memory, and disk caches, detailing access methods, cache mechanisms, CDN configurations, and practical use cases such as Google Fonts and translation integration.

BackendCDNResource Management
0 likes · 12 min read
How an External Resource Manager Boosts Service Resilience with Multi‑Layer Caching
IT Architects Alliance
IT Architects Alliance
Jun 14, 2022 · Backend Development

8 Essential Backend Architecture Patterns Every Engineer Should Master

This article explores eight common backend architecture patterns—from simple single‑database setups to microservices, caching, sharding, elastic scaling, and multi‑region deployments—detailing their design principles, typical use cases, advantages, drawbacks, and practical implementation steps.

Backend ArchitectureDesign PatternsMicroservices
0 likes · 23 min read
8 Essential Backend Architecture Patterns Every Engineer Should Master
Top Architect
Top Architect
Jun 13, 2022 · Backend Development

Microservice Architecture Roadmap and Key Components Explained

This article outlines a comprehensive roadmap for adopting microservice architecture, describing its benefits, core concepts, and essential tools such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, tracing, persistence, caching, and cloud providers.

Microservicesarchitecturecaching
0 likes · 15 min read
Microservice Architecture Roadmap and Key Components Explained
Architecture Digest
Architecture Digest
Jun 9, 2022 · Backend Development

Comprehensive Guide to Caching: Principles, Types, Strategies, and Best Practices

This article provides an in‑depth overview of caching, covering its definition, when to use it, core concepts, various cache types (client, server, CDN, reverse‑proxy, in‑process, distributed), eviction policies, multi‑level cache architectures, common pitfalls such as cache avalanche, penetration and breakdown, and practical mitigation techniques.

BackendCache Evictioncaching
0 likes · 30 min read
Comprehensive Guide to Caching: Principles, Types, Strategies, and Best Practices
Java High-Performance Architecture
Java High-Performance Architecture
Jun 9, 2022 · Backend Development

How to Build a High‑Performance Java Service for 200k+ QPS

This article explains how to design and optimize a Java‑based online service that handles over 200,000 queries per second by avoiding relational databases, applying multi‑level caching, leveraging multithreading, using degradation and circuit‑breaker patterns, reducing I/O, managing retries, handling edge cases, and logging efficiently.

cachinghigh concurrencyjava
0 likes · 11 min read
How to Build a High‑Performance Java Service for 200k+ QPS
Qunar Tech Salon
Qunar Tech Salon
Jun 8, 2022 · Backend Development

Design and Implementation of a Systematic Cache Architecture for High‑Performance Business Systems

This article describes how a multi‑layered cache system—including a DAO‑level Redis cache, shared cache components, and global cache planning—was designed, implemented, and deployed to reduce database QPS by over 80%, cut response latency, and improve overall system stability in a high‑traffic e‑commerce platform.

cachingdatabaseperformance
0 likes · 30 min read
Design and Implementation of a Systematic Cache Architecture for High‑Performance Business Systems
Top Architect
Top Architect
Jun 4, 2022 · Backend Development

Backend Performance Optimization: Common Issues, Root Causes, and Practical Solutions

This article presents a comprehensive summary of backend performance problems encountered in a production system—including slow queries, deep pagination, missing or ineffective indexes, excessive joins, large data volumes, thread‑pool and lock mis‑designs, machine issues, and caching strategies—along with concrete diagnostic steps and code‑level remedies to improve response times and stability.

Backendcachingoptimization
0 likes · 17 min read
Backend Performance Optimization: Common Issues, Root Causes, and Practical Solutions
IT Architects Alliance
IT Architects Alliance
May 31, 2022 · Backend Development

Optimizing High‑Concurrency Services: Practical Strategies for QPS Over 200K

This article presents practical techniques for optimizing high‑concurrency online services—such as avoiding relational databases, employing multi‑level caching, leveraging multithreading, implementing circuit‑breaker patterns, reducing I/O, managing retries, handling edge cases, and logging efficiently—to maintain sub‑300 ms response times under massive load.

IO optimizationcachingcircuit breaker
0 likes · 10 min read
Optimizing High‑Concurrency Services: Practical Strategies for QPS Over 200K
ITPUB
ITPUB
May 31, 2022 · Backend Development

How Ctrip Optimized Hotel Cache Memory: From HashMap Overhead to Advanced Encoding

Facing billions of cached hotel records, Ctrip’s backend team analyzed Java object layout and HashMap memory costs, evaluated alternative structures, and applied bitmap, dictionary, run‑length and delta encodings to compress data, ultimately reducing cache size to under 2% of its original footprint.

Backendcachingdata-structures
0 likes · 24 min read
How Ctrip Optimized Hotel Cache Memory: From HashMap Overhead to Advanced Encoding
IT Architects Alliance
IT Architects Alliance
May 30, 2022 · Backend Development

How to Diagnose and Fix API Performance Bottlenecks in Java Backend

This article walks through the background of a production Java service that received many performance complaints, enumerates common causes such as slow MySQL queries, complex business logic, thread‑pool misconfiguration, lock contention and machine issues, and provides concrete diagnostic steps and code‑level solutions including pagination fixes, indexing strategies, async processing, thread‑pool tuning, lock refinement and caching techniques.

Backendcachingjava
0 likes · 17 min read
How to Diagnose and Fix API Performance Bottlenecks in Java Backend
Top Architect
Top Architect
May 30, 2022 · Backend Development

Key Practices for Optimizing High‑Concurrency Backend Services

This article outlines practical strategies for handling high‑QPS backend services, including avoiding relational databases, employing multi‑level caching, leveraging multithreading, implementing degradation and circuit‑breaker mechanisms, optimizing I/O, using cautious retries, handling edge cases, and logging efficiently.

Backend PerformanceIO optimizationcaching
0 likes · 10 min read
Key Practices for Optimizing High‑Concurrency Backend Services
Top Architect
Top Architect
May 26, 2022 · Backend Development

Eight Common Software Architecture Design Patterns and Their Advantages & Disadvantages

The article introduces eight widely used software architecture design patterns—including single‑database, content distribution, query separation, microservices, multi‑level caching, sharding, elastic scaling, and multi‑datacenter deployment—explaining their typical structures, suitable scenarios, and the key pros and cons of each.

BackendDesign PatternsMicroservices
0 likes · 21 min read
Eight Common Software Architecture Design Patterns and Their Advantages & Disadvantages
MaGe Linux Operations
MaGe Linux Operations
May 25, 2022 · Operations

Why Kubernetes LIST Requests Can Cripple Your Cluster and How to Fix Them

This article examines how heavy LIST operations in unstructured storage systems like Ceph and etcd consume massive I/O, network and CPU, threaten cluster stability, and offers detailed code analysis, performance testing, and practical tuning recommendations to keep large‑scale Kubernetes clusters reliable.

KubernetesListScalability
0 likes · 29 min read
Why Kubernetes LIST Requests Can Cripple Your Cluster and How to Fix Them
Top Architect
Top Architect
May 24, 2022 · Backend Development

Comprehensive Guide to Cache Optimization and Design Strategies

This article presents a comprehensive overview of cache optimization techniques, covering benefits and costs, update policies, granularity control, penetration and avalanche mitigation, hot‑key reconstruction, and distributed batch‑operation strategies, with practical examples using Redis and MySQL.

BackendDistributed Systemscache invalidation
0 likes · 14 min read
Comprehensive Guide to Cache Optimization and Design Strategies
IT Architects Alliance
IT Architects Alliance
May 21, 2022 · Backend Development

Cache Usage Techniques and Design Strategies

This article explains how caching can accelerate read/write performance and reduce backend load, analyzes its benefits and costs, and details practical design patterns such as update policies, granularity control, penetration, bottom‑hole, avalanche, and hot‑key optimizations for reliable high‑performance systems.

ConsistencyDistributed Systemsbackend optimization
0 likes · 13 min read
Cache Usage Techniques and Design Strategies
Top Architect
Top Architect
May 19, 2022 · Backend Development

Optimizing High‑Concurrency Services: Practical Strategies for 200k+ QPS

This article outlines practical techniques for handling ultra‑high‑traffic backend services—including abandoning relational databases, employing multi‑level caching, leveraging multithreading, applying degradation and circuit‑breaker patterns, optimizing I/O, using cautious retries, guarding boundary cases, and implementing efficient logging—to maintain sub‑300 ms response times at 200k+ QPS.

Backend PerformanceIO optimizationcaching
0 likes · 10 min read
Optimizing High‑Concurrency Services: Practical Strategies for 200k+ QPS
php Courses
php Courses
May 19, 2022 · Backend Development

Understanding Cache Penetration, Cache Breakdown, and Cache Avalanche

The article explains the concepts of cache penetration, cache breakdown, and cache avalanche—common Redis caching issues—provides concise definitions, shares personal interview experience, and recommends two detailed PHP‑CN articles for further online study.

Backendcache-avalanchecache-breakdown
0 likes · 3 min read
Understanding Cache Penetration, Cache Breakdown, and Cache Avalanche
Architecture Digest
Architecture Digest
May 17, 2022 · Backend Development

Optimizing High‑Concurrency Services: Practical Strategies for QPS Over 200k

This article outlines practical techniques for handling online services with QPS exceeding 200,000, including avoiding relational databases, employing multi‑level caching, leveraging multithreading, implementing degradation and circuit‑breaker patterns, optimizing I/O, using controlled retries, handling edge cases, and logging efficiently.

IO optimizationcachingcircuit breaker
0 likes · 9 min read
Optimizing High‑Concurrency Services: Practical Strategies for QPS Over 200k