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Performance

5000 articles · Page 49 of 50
Full-Stack Internet Architecture
Full-Stack Internet Architecture
May 27, 2018 · Databases

Best Practices for Using Alibaba Cloud Redis: Key Design, Command Usage, Client Configuration, and Tools

This article outlines Alibaba Cloud Redis development guidelines, covering key naming conventions, value design, command usage, client configuration, lifecycle management, and recommended tools, providing practical recommendations to avoid common pitfalls, improve performance, and ensure reliable operation of Redis in production environments.

Alibaba CloudBest PracticesKey Design
0 likes · 9 min read
Best Practices for Using Alibaba Cloud Redis: Key Design, Command Usage, Client Configuration, and Tools
JD Retail Technology
JD Retail Technology
May 24, 2018 · Frontend Development

Understanding PWA Caching: Principles, Performance Benefits, and Strategies

This article explains why traditional H5 pages perform poorly compared to native apps, introduces Progressive Web Apps (PWA) as a solution, details how service workers enable offline caching, presents real‑world performance comparisons, and reviews common cache strategies such as cache‑first, network‑first, stale‑while‑revalidate, cache‑only, and network‑only.

Cache StrategiesFrontendPWA
0 likes · 7 min read
Understanding PWA Caching: Principles, Performance Benefits, and Strategies
Alibaba Cloud Developer
Alibaba Cloud Developer
May 23, 2018 · Mobile Development

How Flutter Manages Memory: Dart Runtime, Image & FlutterView Insights

This article explores Flutter's memory management, detailing the Dart runtime's generational GC, comparing Image widget memory usage across Android versions, and evaluating the impact of reusing or not reusing FlutterView on Java and native memory consumption, with practical test results and optimization tips.

DARTFlutterMobile Development
0 likes · 10 min read
How Flutter Manages Memory: Dart Runtime, Image & FlutterView Insights
360 Tech Engineering
360 Tech Engineering
May 22, 2018 · Databases

Understanding Redis Rehash Mechanism and Implementation

This article explains how Redis uses a dual‑hashtable structure and a progressive rehash process to handle hash collisions, detailing the rehash conditions, migration steps, and performance implications for in‑memory key‑value storage.

In-Memory DatabasePerformanceRedis
0 likes · 6 min read
Understanding Redis Rehash Mechanism and Implementation
MaGe Linux Operations
MaGe Linux Operations
May 19, 2018 · Fundamentals

How a Four‑Year Hunt Fixed a Hidden Python GIL Race Condition

The article recounts a four‑year investigation that uncovered and repaired a subtle race‑condition bug in Python's Global Interpreter Lock, detailing the bug's origin, the implemented fixes, performance testing, and the decision to make the GIL creation unconditional in Python 3.7.

Bug FixCPythonGIL
0 likes · 10 min read
How a Four‑Year Hunt Fixed a Hidden Python GIL Race Condition
Meituan Technology Team
Meituan Technology Team
May 17, 2018 · Information Security

Performance Optimization and Monitoring of Kerberos KDC Service

The article examines Kerberos KDC performance issues on Meituan‑Dianping’s data platform, showing that PREAUTH halves throughput while RAID10 has little effect, and that a single‑CPU core limits QPS; deploying 40 processes and disabling PREAUTH raises throughput over tenfold, and a lock‑free shared‑memory monitoring module with the kstat tool provides real‑time metrics for troubleshooting.

KDCKerberosOptimization
0 likes · 17 min read
Performance Optimization and Monitoring of Kerberos KDC Service
Qunar Tech Salon
Qunar Tech Salon
May 16, 2018 · Backend Development

Performance Analysis and Optimization of Synchronized Reflection Calls in a Java Backend Service

The article investigates a high‑traffic Java backend issue caused by synchronized reflection calls, analyzes thread‑blocking stack traces, demonstrates the problematic code, and presents a compile‑time PropertyDescriptor optimization that eliminates runtime locking, resulting in significant latency improvements and a deeper understanding of JVM lock mechanisms.

JVMPerformanceReflection
0 likes · 14 min read
Performance Analysis and Optimization of Synchronized Reflection Calls in a Java Backend Service
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
May 14, 2018 · Backend Development

Optimizing ServiceComb Communication: Reactive vs Sync Thread Models

This article explains how ServiceComb builds on Vert.x to support both reactive and synchronous communication modes, details the thread models for single and multiple connections, presents performance improvements through CAS queues and multi‑connection setups, and outlines flexible thread‑pool strategies for microservice providers and consumers.

MicroservicesPerformanceReactive
0 likes · 14 min read
Optimizing ServiceComb Communication: Reactive vs Sync Thread Models
Meituan Technology Team
Meituan Technology Team
May 10, 2018 · Backend Development

Design and Implementation of a Real‑Time Advertising Index System at Meituan‑Dianping

Meituan‑Dianping built a custom C++11 real‑time advertising index featuring a hierarchical model, lock‑free three‑layer architecture, specialized memory allocators, and forward/inverted indexes to achieve millisecond updates, high throughput, and scalability for search ads, with plans for Java integration and SQL support.

C++IndexingPerformance
0 likes · 21 min read
Design and Implementation of a Real‑Time Advertising Index System at Meituan‑Dianping
Programmer DD
Programmer DD
May 6, 2018 · Backend Development

Why Spring Boot 2 Picks HikariCP: Speed, Simplicity, and Reliability Explained

This article compiles and translates key information about HikariCP, detailing why Spring Boot 2 adopts it as the default JDBC pool, comparing its performance and stability against BoneCP, C3P0, Tomcat and Druid, and providing practical configuration steps for quick integration.

Backend DevelopmentHikariCPJava
0 likes · 13 min read
Why Spring Boot 2 Picks HikariCP: Speed, Simplicity, and Reliability Explained
Xianyu Technology
Xianyu Technology
May 6, 2018 · Mobile Development

Exploring Flutter Memory Management and Image Handling on Android

The article examines Flutter’s memory architecture, compares its Image widget’s graphics‑memory usage to Android ImageView’s Java and native heap behavior across OS versions, and evaluates FlutterView integration strategies—showing reuse saves native memory and offering a pre‑render trick to reduce first‑frame latency.

AndroidDARTFlutterView
0 likes · 11 min read
Exploring Flutter Memory Management and Image Handling on Android
21CTO
21CTO
Apr 27, 2018 · Backend Development

How Stack Overflow Achieves Lightning‑Fast Pagination

This article explains the sophisticated pagination system used by Stack Overflow, covering offset‑based queries, a custom Tag Engine, database joins, in‑memory sorting, and caching techniques that together deliver rapid page navigation even over billions of records.

Performancebackenddatabase
0 likes · 6 min read
How Stack Overflow Achieves Lightning‑Fast Pagination
JD Tech
JD Tech
Apr 27, 2018 · Frontend Development

Redesigning JD.com Homepage: Architecture, Performance, and Frontend Engineering with Nerv and Athena

This article recounts the four‑month redesign of JD.com’s homepage, detailing the migration from jQuery + SeaJS to the Nerv framework, the introduction of the Athena engineering platform, performance and experience optimizations such as code splitting, lazy loading, IE8 compatibility, and the monitoring and automation practices that ensure stability and scalability.

Code SplittingFrontendPerformance
0 likes · 24 min read
Redesigning JD.com Homepage: Architecture, Performance, and Frontend Engineering with Nerv and Athena
ITPUB
ITPUB
Apr 25, 2018 · Databases

Optimizing Large-Scale Joins with Oracle Temporary Tables: Strategies & Pitfalls

Facing a 20‑million‑row master table and millions of rows in up to ten child tables, the article examines the inefficiencies of repeated IN‑clause queries and presents three alternative strategies—including a single‑SQL join, a UNION ALL view, and the use of global temporary tables—detailing their trade‑offs and experimental results.

JOINOraclePerformance
0 likes · 10 min read
Optimizing Large-Scale Joins with Oracle Temporary Tables: Strategies & Pitfalls
Efficient Ops
Efficient Ops
Apr 22, 2018 · Fundamentals

Mastering Software Performance: From Axioms to Capacity Planning

This article explains fundamental performance concepts—defining response time and throughput, using axiomatic methods, analyzing bottlenecks with sequence diagrams and profiling, applying Amdahl’s Law, and guiding capacity planning to build reliable, high‑performance applications.

PerformanceResponse TimeThroughput
0 likes · 44 min read
Mastering Software Performance: From Axioms to Capacity Planning
Meitu Technology
Meitu Technology
Apr 19, 2018 · Mobile Development

Meitu DNS Optimization Practices and Non‑Intrusive SDK Integration for Android

Meitu’s Android DNS SDK combines LocalDNS and HTTP DNS in a hybrid strategy, transparently replaces the system resolver via reflection and native hooks, and dynamically switches to HTTP DNS on anomalies, cutting lookup latency by about 100 ms, boosting cache hit rates and overall request success while preventing DNS hijacking.

AndroidDNSNative integration
0 likes · 14 min read
Meitu DNS Optimization Practices and Non‑Intrusive SDK Integration for Android
Architecture Digest
Architecture Digest
Apr 13, 2018 · Frontend Development

2018 Frontend Performance Checklist

This article presents a comprehensive 2018 frontend performance checklist that guides teams from establishing a performance culture and selecting metrics to optimizing build processes, static assets, HTTP/2, security, and monitoring, while offering quick‑win actions for immediate impact.

FrontendOptimizationPerformance
0 likes · 20 min read
2018 Frontend Performance Checklist
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 9, 2018 · Databases

How FPGA Acceleration Supercharges X-Engine’s Compaction for 10× MySQL Performance

This article introduces Alibaba’s X‑Engine storage engine, the foundation of the next‑generation distributed database X‑DB, and explains how FPGA‑accelerated compaction and asynchronous scheduling dramatically improve write‑intensive OLTP performance, reduce CPU contention, and achieve up to 50 % throughput gains while maintaining fault tolerance.

CompactionFPGALSM‑Tree
0 likes · 21 min read
How FPGA Acceleration Supercharges X-Engine’s Compaction for 10× MySQL Performance
QQ Music Frontend Team
QQ Music Frontend Team
Apr 7, 2018 · Frontend Development

Master Webpack Code Splitting to Speed Up Vue Applications

This article explains how to improve front‑end performance by separating business code from libraries, using on‑demand async loading, configuring CommonsChunkPlugin, externalizing large dependencies, and applying HTTP/2 optimizations, all demonstrated with a real Vue/Vuetify project.

Code SplittingPerformanceVue
0 likes · 11 min read
Master Webpack Code Splitting to Speed Up Vue Applications
Java Captain
Java Captain
Apr 1, 2018 · Fundamentals

A Simple Explanation of Multithreading and Its Use Cases

Multithreading allows concurrent processing by dividing tasks among multiple threads, improving throughput and scalability when used appropriately, as illustrated through examples such as web servers, file processing, database operations, background jobs, and UI responsiveness, while highlighting the importance of choosing the right number of threads.

Performanceconcurrency
0 likes · 6 min read
A Simple Explanation of Multithreading and Its Use Cases
MaGe Linux Operations
MaGe Linux Operations
Mar 31, 2018 · Operations

Essential Linux Ops Tools: Monitoring, Performance, and Security Utilities

This article introduces a curated set of practical Linux operations tools—including Nethogs, IOZone, IOTop, IPtraf, IFTop, Fail2ban, Tmux, NMON, MultiTail, NMap, and Httperf—detailing their purpose, installation steps, key command‑line options, and usage examples to help system administrators monitor bandwidth, disk I/O, processes, logs, and security on Linux servers.

LinuxOperationsPerformance
0 likes · 11 min read
Essential Linux Ops Tools: Monitoring, Performance, and Security Utilities
Architect's Tech Stack
Architect's Tech Stack
Mar 23, 2018 · Databases

MySQL Interview Questions and Answers: ACID, Isolation Levels, Storage Engines, Indexes, Locks, and More

This article compiles essential MySQL interview topics, covering ACID transaction properties, isolation levels and their issues, storage engine differences, index types, query execution order, lock mechanisms, temporary tables, normalization, read‑write splitting, performance tuning, and recovery logs, providing concise explanations and examples for each concept.

LockMySQLPerformance
0 likes · 36 min read
MySQL Interview Questions and Answers: ACID, Isolation Levels, Storage Engines, Indexes, Locks, and More
21CTO
21CTO
Mar 22, 2018 · Fundamentals

What’s New in Java 10? Top 10 Features You Need to Know

This article reviews Java 10’s major enhancements—including local‑variable type inference, time‑based release cadence, new garbage‑collector interfaces, parallel G1 GC, heap‑allocation on alternative memory devices, repository consolidation, default root certificates, experimental Graal JIT, ThreadLocal handshakes, and removal of the javah tool—highlighting their impact for developers.

Garbage CollectionJDK 10JEP
0 likes · 9 min read
What’s New in Java 10? Top 10 Features You Need to Know
Qunar Tech Salon
Qunar Tech Salon
Mar 21, 2018 · Operations

Root Cause Analysis and Optimization of Network Packet Loss in High‑Traffic Redis Services

The article investigates why massive Redis deployments experience network packet loss despite using 10 Gbps NICs, explains how Linux kernel counters such as net.if.in.dropped are derived from /proc/net/dev, walks through the driver‑to‑kernel processing path, and proposes CPU‑affinity, interrupt‑affinity and NUMA‑aware tuning to eliminate the drops.

CPU affinityLinux kernelPacket loss
0 likes · 28 min read
Root Cause Analysis and Optimization of Network Packet Loss in High‑Traffic Redis Services
Senior Brother's Insights
Senior Brother's Insights
Mar 17, 2018 · Blockchain

Why Does Ethereum Sync Stall? Common Issues and Fixes

This guide compiles the most frequent Ethereum synchronization problems—such as blocks lagging by dozens, the sync process stalling at 99%, zero block height or balance readings, and abnormal logs—and provides step‑by‑step commands, hardware tips, cache settings, and log‑analysis techniques to diagnose and resolve them.

EthereumNodePerformance
0 likes · 9 min read
Why Does Ethereum Sync Stall? Common Issues and Fixes
Programmer DD
Programmer DD
Mar 17, 2018 · Backend Development

How to Optimize JedisPool Settings for High‑Performance Redis Connections

This article explains how to correctly configure JedisPool and its underlying GenericObjectPoolConfig, provides Maven dependency details, demonstrates pool initialization and usage patterns, and offers practical recommendations for maxTotal, maxIdle, minIdle, idle monitoring, and warm‑up to ensure stable and efficient Redis operations in Java applications.

Connection PoolJavaJedis
0 likes · 9 min read
How to Optimize JedisPool Settings for High‑Performance Redis Connections
Taobao Frontend Technology
Taobao Frontend Technology
Mar 15, 2018 · Frontend Development

Mastering Long List Performance in Rax: Scroll, Recycle, and Advanced Techniques

This article provides a comprehensive guide to Rax 0.5's long‑list components, explaining when to use each list tag, how to enable scrolling, optimize performance with RecyclerView, handle refresh, appear, and onScroll events, and organize complex page layouts with sticky headers, nested scrolling, and gesture management.

Long ListPerformanceRax
0 likes · 14 min read
Mastering Long List Performance in Rax: Scroll, Recycle, and Advanced Techniques
JD Tech
JD Tech
Mar 9, 2018 · Frontend Development

Comprehensive Guide to WebAssembly Development with Emscripten

This article introduces WebAssembly, explains its performance advantages over JavaScript, details the setup of development tools like Emscripten, CMake, and WABT on macOS, and provides step‑by‑step examples for compiling C/C++ code to .wasm, loading modules in JavaScript, and using advanced features.

C++EmscriptenJavaScript
0 likes · 17 min read
Comprehensive Guide to WebAssembly Development with Emscripten
21CTO
21CTO
Mar 6, 2018 · Frontend Development

Can WebAssembly Replace JavaScript? A Deep Dive into Its Future and Risks

This article explores WebAssembly’s origins, technical architecture, current browser support, limitations such as lack of OOP, garbage collection, and multithreading, and discusses its security concerns and roadmap, ultimately questioning whether it will ever supplant JavaScript in the web ecosystem.

JavaScriptPerformanceWebAssembly
0 likes · 9 min read
Can WebAssembly Replace JavaScript? A Deep Dive into Its Future and Risks
dbaplus Community
dbaplus Community
Mar 6, 2018 · Backend Development

Unlocking Tomcat: A Deep Dive into Java Application Server Architecture

This article explains the evolution of Java application servers, the inner workings of servlet containers, and provides a detailed walkthrough of Tomcat’s components, request handling flow, and key performance‑tuning considerations for modern backend development.

Application ServerJavaPerformance
0 likes · 13 min read
Unlocking Tomcat: A Deep Dive into Java Application Server Architecture
Snowball Engineer Team
Snowball Engineer Team
Mar 2, 2018 · Mobile Development

Understanding Android's 64K Method Limit and Multidex Solutions

This article explains the origin of Android's 64K method limit, how it varies across OS versions, and evaluates several approaches—including Google Multidex, asynchronous child‑process loading, plugin architectures, and lazy loading—to help developers choose the most suitable solution for their app.

DEXMultidexPerformance
0 likes · 8 min read
Understanding Android's 64K Method Limit and Multidex Solutions
ITPUB
ITPUB
Feb 26, 2018 · Databases

15 Common SQL Performance Pitfalls and Proven Fixes

This article outlines the most frequent SQL performance mistakes—such as misusing UPDATE, over‑selecting columns, unnecessary double queries, and improper use of GUIDs—and provides concrete, actionable techniques like CASE expressions, temporary tables, batch operations, and table‑valued functions to dramatically improve query speed and concurrency.

Best PracticesDatabase TuningOptimization
0 likes · 14 min read
15 Common SQL Performance Pitfalls and Proven Fixes
MaGe Linux Operations
MaGe Linux Operations
Feb 23, 2018 · Backend Development

Can Python Handle Millions of Requests per Second? Inside Japronto’s High‑Performance Microframework

This article explores recent Python performance improvements, benchmarks a new microframework called Japronto that can process over a million HTTP requests per second using techniques like HTTP pipelining, C extensions, and careful memory management, and outlines its features and future directions.

HTTP pipeliningJaprontoMicroframework
0 likes · 9 min read
Can Python Handle Millions of Requests per Second? Inside Japronto’s High‑Performance Microframework
Java Backend Technology
Java Backend Technology
Feb 23, 2018 · Frontend Development

How Chrome Teams and Web Developers Can Co‑Create a Faster, Safer Web

The article explores the collaborative relationship between Chrome teams and the web development community, outlining high‑level goals for accessibility, performance, security, privacy, overall platform openness, and calls for transparent cooperation, best‑practice guides, and shared tools to build a faster, more reliable web for everyone.

ChromePerformancePrivacy
0 likes · 11 min read
How Chrome Teams and Web Developers Can Co‑Create a Faster, Safer Web
ITPUB
ITPUB
Feb 8, 2018 · Databases

Understanding MySQL Locking Mechanisms: Types, Queues, and Optimization Tips

This article explains MySQL's row‑level, table‑level, and page‑level locks, maps them to storage engines, details MyISAM and InnoDB lock types, describes the four internal lock queues, and provides practical optimization and monitoring techniques to improve concurrency and performance.

InnoDBLockingMyISAM
0 likes · 10 min read
Understanding MySQL Locking Mechanisms: Types, Queues, and Optimization Tips
Beike Product & Technology
Beike Product & Technology
Feb 7, 2018 · Backend Development

High‑Performance Challenge: Optimizing a C‑Based User Information Service for Tens of Millions of Records

This article recounts a 2017 internal high‑performance competition where a C server handling a 40 million‑row user‑info dataset was progressively optimized through data compression, custom hash tables, memory layout redesign, and a thread‑pool model, ultimately achieving a four‑fold throughput increase.

C#Memory optimizationPerformance
0 likes · 13 min read
High‑Performance Challenge: Optimizing a C‑Based User Information Service for Tens of Millions of Records
Node Underground
Node Underground
Feb 1, 2018 · Backend Development

Should You Upgrade to Node 8? Benefits, Challenges, and V8 Insights

This article discusses the rapid evolution of Node.js versions, the practical difficulties of converting legacy code from yield to await, and why developers should consider upgrading to newer releases like Node 8 to leverage V8's performance improvements.

Async/AwaitCode migrationNode.js
0 likes · 2 min read
Should You Upgrade to Node 8? Benefits, Challenges, and V8 Insights
UCloud Tech
UCloud Tech
Jan 26, 2018 · Cloud Computing

How UCloud Optimizes KVM Live Migration for Faster, Safer Cloud Operations

This article details UCloud's comprehensive optimizations for KVM live migration—including host selection, zero‑data handling, network switch improvements, auto‑converge tuning, compression, fast‑migration paths, cross‑machine type migration, and local hot‑upgrade—demonstrating how each stage reduces downtime, data transfer, and resource consumption while maintaining VM availability.

KVMLive MigrationPerformance
0 likes · 18 min read
How UCloud Optimizes KVM Live Migration for Faster, Safer Cloud Operations
JD Retail Technology
JD Retail Technology
Jan 19, 2018 · Fundamentals

WebAssembly Overview, Setup, and Usage with Emscripten, C/C++, and Rust

This article explains the evolution of JavaScript performance, introduces WebAssembly concepts and browser support, provides step‑by‑step installation of Emscripten, WABT, and related tools on macOS, demonstrates WebAssembly APIs such as validate, Module, compile, Instance, Memory and Table, and shows practical examples of compiling and invoking C/C++ and Rust code from JavaScript.

C++EmscriptenJavaScript
0 likes · 18 min read
WebAssembly Overview, Setup, and Usage with Emscripten, C/C++, and Rust
Meituan Technology Team
Meituan Technology Team
Jan 18, 2018 · Backend Development

Analysis of MyBatis First‑Level and Second‑Level Cache Mechanisms

The article thoroughly examines MyBatis’s first‑level (session) and second‑level (namespace) caches, detailing their configurations, internal workflows, source‑code implementations, experimental behaviors, common pitfalls such as stale or dirty data, and advises disabling built‑in caching in favor of dedicated solutions for production.

CacheJavaMyBatis
0 likes · 25 min read
Analysis of MyBatis First‑Level and Second‑Level Cache Mechanisms
ITPUB
ITPUB
Jan 18, 2018 · Fundamentals

Why Does Windows Slow Down Over Time While Linux Stays Fast?

The article explains that Windows often slows down due to accumulated service entries, registry I/O, and micro‑kernel design that loads many sys files at boot, whereas Linux’s monolithic kernel and fewer services keep its performance more stable over long use.

LinuxPerformanceWindows
0 likes · 7 min read
Why Does Windows Slow Down Over Time While Linux Stays Fast?
dbaplus Community
dbaplus Community
Jan 14, 2018 · Backend Development

Mastering Tomcat: Kernel Design, Clustering, and Performance Tuning

This article provides a comprehensive technical guide to Tomcat, covering its kernel implementation principles, server models, distributed clustering strategies, production deployment parameters, JVM tuning, request processing flow, servlet mechanisms, filter chains, Comet and WebSocket modes, as well as performance monitoring and optimization techniques.

ClusteringJVMJava
0 likes · 18 min read
Mastering Tomcat: Kernel Design, Clustering, and Performance Tuning
21CTO
21CTO
Jan 10, 2018 · Backend Development

Why HTTP/2 Supercharges REST APIs: Performance, Security, and Beyond

HTTP/2 replaces the text‑based HTTP/1.x with a binary, multiplexed protocol that reduces latency, eliminates head‑of‑line blocking, compresses headers, enables server push, and improves security, offering REST APIs faster, more efficient communication while preserving familiar semantics for developers.

HTTP/2PerformanceREST API
0 likes · 12 min read
Why HTTP/2 Supercharges REST APIs: Performance, Security, and Beyond
21CTO
21CTO
Jan 9, 2018 · Frontend Development

How Bilibili Evolved Its Frontend: From MVC to Vue SSR and Scalable Architecture

This article chronicles Bilibili’s 2017 front‑end transformation, detailing the shift from a backend‑centric MVC workflow to a decoupled architecture with Node middleware, Vue SSR, Docker deployment, configuration management, caching strategies, and performance testing, illustrating lessons learned and future directions.

DockerFrontendNode.js
0 likes · 15 min read
How Bilibili Evolved Its Frontend: From MVC to Vue SSR and Scalable Architecture
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 9, 2018 · Frontend Development

How Weex Powered Youku’s Double‑11 Live Stream: Architecture, Challenges & Solutions

This article details how Youku rebuilt its Double‑11 live‑streaming platform with Weex, covering the overall architecture, component modularization, interactive feature support, gesture conflict resolution, screen‑rotation handling, video corner rendering, performance optimizations, and the impressive results achieved during the event.

AndroidComponentizationLive Streaming
0 likes · 14 min read
How Weex Powered Youku’s Double‑11 Live Stream: Architecture, Challenges & Solutions
Meituan Technology Team
Meituan Technology Team
Jan 5, 2018 · Mobile Development

Performance Optimization of JSON Serialization on Android: Replacing Gson with JSONObject and Mson

The article shows that replacing reflection‑heavy Gson with lightweight JSONObject for manual serialization and a compile‑time annotation‑processor generated library called Mson can cut JSON parsing and writing time to about one‑tenth, while maintaining compatibility and eliminating ProGuard rules for performance‑critical Android apps.

AndroidAnnotationProcessorGson
0 likes · 13 min read
Performance Optimization of JSON Serialization on Android: Replacing Gson with JSONObject and Mson
Taobao Frontend Technology
Taobao Frontend Technology
Jan 5, 2018 · Operations

Why Metrics Matter: A Deep Dive into Pandora.js’s Measurement System

Metrics act as health checks for applications, enabling developers to monitor performance, track changes, and assess stability; this article explains Pandora.js’s metric naming conventions, types like Gauge, Counter, Histogram, and Meter, and provides practical Node.js code examples for implementing these measurements.

ObservabilityPerformancemetrics
0 likes · 13 min read
Why Metrics Matter: A Deep Dive into Pandora.js’s Measurement System
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Jan 4, 2018 · Frontend Development

Boost Your Web App Speed: Essential JavaScript Performance Optimization Tips

This article explains how JavaScript performance impacts web applications and provides practical optimization strategies—including the RAIL model, load time statistics, parsing and compilation overhead, bundle size reduction, code splitting with Webpack, and modern transpilation techniques—to help front‑end developers deliver faster, more responsive sites.

Performancebundlingwebpack
0 likes · 10 min read
Boost Your Web App Speed: Essential JavaScript Performance Optimization Tips
Java Captain
Java Captain
Jan 3, 2018 · Fundamentals

Overview of Java Garbage Collection and Memory Management

This article provides a comprehensive overview of Java's garbage collection mechanism, memory regions, object access methods, allocation strategies, GC algorithms, and the various collectors used in the HotSpot JVM, helping developers understand and optimize Java memory usage.

GC AlgorithmsGarbage CollectionJVM
0 likes · 22 min read
Overview of Java Garbage Collection and Memory Management
Qunar Tech Salon
Qunar Tech Salon
Dec 27, 2017 · Backend Development

Understanding the Implementation and Optimization of Java synchronized

This article explains how Java's synchronized keyword works internally, covering its implementation via monitorenter/monitorexit, the role of object headers and monitors, and the various lock optimizations introduced in JDK 1.6 such as spin locks, biased locks, lightweight locks, lock elimination, and lock coarsening.

JavaLockingPerformance
0 likes · 17 min read
Understanding the Implementation and Optimization of Java synchronized
dbaplus Community
dbaplus Community
Dec 12, 2017 · Databases

MariaDB ColumnStore: Future‑Ready OLAP Architecture, Limits & Migration Tips

This article shares practical experience deploying MariaDB ColumnStore for offline OLAP, covering its MPP‑based architecture, user‑experience benefits, high‑availability options, numerous syntax and data‑type limitations, and detailed scripts for schema conversion and incremental data extraction using pt‑archiver.

ColumnstoreData MigrationMariaDB
0 likes · 17 min read
MariaDB ColumnStore: Future‑Ready OLAP Architecture, Limits & Migration Tips
ITPUB
ITPUB
Dec 7, 2017 · Databases

Master MySQL Query Optimization: From Architecture to High‑Performance Indexing

This article explains MySQL's logical architecture, the step‑by‑step query execution process, and provides practical performance‑tuning advice—including schema design, data‑type choices, index strategies, and specific query optimizations such as COUNT, JOIN, LIMIT pagination, and UNION—backed by code examples and diagrams.

MySQLPerformanceQuery Optimization
0 likes · 36 min read
Master MySQL Query Optimization: From Architecture to High‑Performance Indexing
Baidu Maps Tech Team
Baidu Maps Tech Team
Dec 7, 2017 · Frontend Development

How WebAssembly Boosts Web Performance: From asm.js to Near‑Native Speed

This article explains the evolution from asm.js to WebAssembly, compares their performance, outlines implementation strategies—including AssemblyScript, hand‑written asm.js, and C/C++ compilation with Emscripten—and provides practical code examples and tips for integrating WebAssembly into web applications.

BinaryenEmscriptenJavaScript
0 likes · 15 min read
How WebAssembly Boosts Web Performance: From asm.js to Near‑Native Speed
ITPUB
ITPUB
Dec 6, 2017 · Databases

Mastering Oracle Data Dictionary: Types, Views, and Practical Queries

This article explains the classification of Oracle data dictionary objects, demonstrates how to query static and dynamic dictionary tables and views, lists common view families and permission views, and provides numerous SQL examples for inspecting users, tables, indexes, sequences, constraints, and PL/SQL objects.

OraclePerformanceSQL
0 likes · 13 min read
Mastering Oracle Data Dictionary: Types, Views, and Practical Queries
21CTO
21CTO
Dec 1, 2017 · Backend Development

Boost PHP‑FPM Performance: Why pm‑static Beats Dynamic & ondemand

This article explains how to fine‑tune PHP‑FPM by choosing the optimal Process Manager mode—static, dynamic, or ondemand—combined with CPU governor settings to achieve higher throughput, lower latency, and stable CPU/memory usage on web servers.

Performancecpu governorphp-fpm
0 likes · 9 min read
Boost PHP‑FPM Performance: Why pm‑static Beats Dynamic & ondemand
ITPUB
ITPUB
Nov 30, 2017 · Databases

Mastering Redis: Key Design and Data Type Use Cases

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

CachingData TypesKey Design
0 likes · 9 min read
Mastering Redis: Key Design and Data Type Use Cases
Senior Brother's Insights
Senior Brother's Insights
Nov 29, 2017 · Databases

Mastering SQL Performance: Proven Optimization Techniques and Best Practices

Learn a comprehensive methodology for SQL performance tuning, from identifying resource bottlenecks and understanding query processing stages to applying practical optimization tactics such as efficient joins, index usage, avoiding costly operations, and best‑practice guidelines that improve execution speed and resource consumption.

IndexingOptimizationPerformance
0 likes · 13 min read
Mastering SQL Performance: Proven Optimization Techniques and Best Practices
ITPUB
ITPUB
Nov 27, 2017 · Databases

Essential Database Design and Query Optimization Tips for Faster SQL Performance

This article outlines essential database design principles and a comprehensive set of query optimization techniques, covering row size limits, appropriate data types, field length choices, index usage, avoiding costly WHERE clause patterns, and best practices for temporary tables, transactions, and result set handling to boost SQL performance.

Best PracticesDatabase DesignIndexes
0 likes · 13 min read
Essential Database Design and Query Optimization Tips for Faster SQL Performance
Programmer DD
Programmer DD
Nov 23, 2017 · Fundamentals

What Is JIT Compilation in Java and How Does It Boost Performance?

Java’s JIT compilation transforms bytecode into optimized machine code at runtime, offering benefits like hardware-specific optimization and portability, and the article explains compilation types, JVM flags for tracing JIT activity, inlining, and other optimizations such as dead code elimination and loop transformations.

CompilationJITJVM
0 likes · 7 min read
What Is JIT Compilation in Java and How Does It Boost Performance?
21CTO
21CTO
Nov 20, 2017 · Backend Development

How to Measure and Optimize PHP Memory Usage When Reading Large Files

This article explains how to monitor PHP memory and CPU usage, demonstrates functions for measuring peak memory, shows line‑by‑line and generator‑based file reading techniques, and compares traditional copying with stream‑based piping to reduce memory consumption on large files.

File ReadingPHPPerformance
0 likes · 8 min read
How to Measure and Optimize PHP Memory Usage When Reading Large Files
vivo Internet Technology
vivo Internet Technology
Nov 17, 2017 · Big Data

Elasticsearch Search Tuning Guide: Part 2 - Index Optimization, Mapping, Scripts, and Segment Merging

The second part of the Elasticsearch search‑tuning series explains how to pre‑index data, choose appropriate keyword or text mappings, minimize script use by preferring Painless or Lucene expressions, and efficiently force‑merge read‑only indices into single segments for better performance.

Data MappingElasticsearchForce Merge
0 likes · 8 min read
Elasticsearch Search Tuning Guide: Part 2 - Index Optimization, Mapping, Scripts, and Segment Merging
Dada Group Technology
Dada Group Technology
Nov 17, 2017 · Backend Development

Designing a High‑Availability Distributed ID Generator: From UUID to Snowflake

This article examines the requirements for globally unique IDs in distributed systems, compares classic generation schemes such as UUID, Flickr, Snowflake and TDDL, and details a customized Snowflake‑based implementation with ZooKeeper‑managed worker IDs, clock‑rollback handling, deployment optimizations, and JVM tuning to achieve high performance and reliability.

High AvailabilityID GenerationPerformance
0 likes · 15 min read
Designing a High‑Availability Distributed ID Generator: From UUID to Snowflake
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Nov 14, 2017 · Cloud Native

Dragonfly: Alibaba's P2P Large‑Scale File and Container Image Distribution System

Dragonfly is Alibaba's P2P‑based infrastructure that dramatically accelerates massive file and container image distribution by forming peer networks, applying smart compression and flow‑control, and reducing registry traffic by over 99%, enabling tens of thousands of servers to receive multi‑gigabyte files simultaneously during peak events.

AlibabaFile DistributionP2P
0 likes · 20 min read
Dragonfly: Alibaba's P2P Large‑Scale File and Container Image Distribution System
ITPUB
ITPUB
Nov 14, 2017 · Operations

How Alibaba’s Dragonfly P2P System Powers 20B Transfers and Slashes Docker Image Traffic

Alibaba’s Dragonfly P2P file distribution platform, built to handle massive file and container image delivery during peak events like Double‑11, combines peer‑to‑peer networking, smart compression, flow‑control and security features to achieve billions of transfers, petabyte‑scale traffic, and up to 99.9% reduction in registry outbound bandwidth.

File DistributionOperationsP2P
0 likes · 20 min read
How Alibaba’s Dragonfly P2P System Powers 20B Transfers and Slashes Docker Image Traffic
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 14, 2017 · Operations

How Alibaba’s Dragonfly P2P System Supercharges File and Image Distribution

Alibaba’s Dragonfly (蜻蜓) leverages P2P networking, intelligent compression, and flow control to dramatically accelerate large‑scale file and container image distribution, reducing bandwidth usage by over 99%, achieving up to 57× speedup, and supporting tens of thousands of concurrent hosts during peak events like Double 11.

File DistributionLarge ScaleP2P
0 likes · 19 min read
How Alibaba’s Dragonfly P2P System Supercharges File and Image Distribution
ITPUB
ITPUB
Nov 9, 2017 · Databases

34 Proven Oracle SQL Optimization Tips to Boost Query Performance

This guide presents thirty‑four practical Oracle SQL optimization techniques—from choosing the most efficient table order and rewriting WHERE clauses to leveraging indexes, avoiding SELECT *, using DECODE, and replacing costly operations—helping developers dramatically improve query speed and resource usage.

OptimizationOraclePerformance
0 likes · 16 min read
34 Proven Oracle SQL Optimization Tips to Boost Query Performance
ITPUB
ITPUB
Nov 7, 2017 · Databases

Why MySQL Ignored My Index and How to Speed Up Periodic Deletion Queries

The article examines why a MySQL DELETE statement with a composite index on biz_date and status still triggers a full‑table scan, shows EXPLAIN output, tests forced index usage, and ultimately demonstrates that narrowing the date range in the query dramatically reduces rows examined and improves performance.

MySQLPerformanceQuery Optimization
0 likes · 7 min read
Why MySQL Ignored My Index and How to Speed Up Periodic Deletion Queries
MaGe Linux Operations
MaGe Linux Operations
Nov 6, 2017 · Fundamentals

Unlock Pythonic Iteration: Clean, Efficient Ways to Loop Over Collections

This guide reveals Pythonic techniques for iterating over ranges, lists, dictionaries, and multiple collections, showing how to write concise, readable loops, use built‑in functions like zip and enumerate, and apply advanced tools such as defaultdict, ChainMap, and context managers for cleaner and faster code.

Best PracticesLoopsPerformance
0 likes · 16 min read
Unlock Pythonic Iteration: Clean, Efficient Ways to Loop Over Collections
dbaplus Community
dbaplus Community
Nov 5, 2017 · Databases

Uncovering Oracle’s Hidden Parse Failures: Why AWR Shows 99% Parse Time

A customer’s Oracle 11g RAC experienced chronic high CPU usage; deep AWR analysis revealed that massive parse time was attributed to mutex waits and a hidden hard‑parse failure caused by a missing column, which triggered Bug 16175381 and forced process spin, ultimately resolved by correcting the faulty SQL.

AWRCPUOracle
0 likes · 10 min read
Uncovering Oracle’s Hidden Parse Failures: Why AWR Shows 99% Parse Time
Qunar Tech Salon
Qunar Tech Salon
Nov 3, 2017 · Frontend Development

Understanding Virtual DOM: An Introduction Using Snabbdom in Vue

This article explains the concept and implementation of virtual DOM, focusing on Vue's use of the Snabbdom algorithm, detailing its node structure, creation, update process, lifecycle hooks, and code examples to illustrate how virtual DOM optimizes front‑end performance.

JavaScriptPerformanceSnabbdom
0 likes · 6 min read
Understanding Virtual DOM: An Introduction Using Snabbdom in Vue
Qunar Tech Salon
Qunar Tech Salon
Nov 2, 2017 · Frontend Development

Meituan's Hermes Project: Front‑End Architecture, Modularization, Automation, and Performance Optimization

Meituan's Hermes project demonstrates how a large‑scale front‑end team achieved better developer experience and maintainability by adopting front‑back separation, ES6‑based modular and Vue component architecture, automated build pipelines, local mock services, comprehensive monitoring, network and offline optimizations, and outlines future plans for server‑side rendering and service‑worker migration.

ComponentizationPerformancemodularization
0 likes · 14 min read
Meituan's Hermes Project: Front‑End Architecture, Modularization, Automation, and Performance Optimization
dbaplus Community
dbaplus Community
Oct 31, 2017 · Databases

What’s New in MySQL 8.0? Key Features, Performance Boosts, and Best Practices

This article summarizes the most compelling MySQL 8.0 enhancements—including a unified Data Dictionary, revamped Information Schema, role‑based privilege management, persistent configuration, auto‑increment fixes, InnoDB histogram and invisible index support, mutex refinements, row‑cache improvements, temporary‑table changes, character‑set updates, default parameter tweaks, and atomic DDL operations—providing practical guidance for DBAs and developers.

8.0InnoDBMySQL
0 likes · 10 min read
What’s New in MySQL 8.0? Key Features, Performance Boosts, and Best Practices
ITPUB
ITPUB
Oct 30, 2017 · Operations

12 Essential Linux Commands to Monitor Memory Usage

This guide lists twelve Linux tools and commands—including /proc/meminfo, atop, free, GNOME System Monitor, htop, KDE System Monitor, memstat, nmon, ps, smem, top, and vmstat—detailing how each provides real‑time or summarized insights into RAM consumption and overall system performance.

CommandsLinuxMemory Monitoring
0 likes · 6 min read
12 Essential Linux Commands to Monitor Memory Usage
21CTO
21CTO
Oct 29, 2017 · Fundamentals

Should You Sacrifice Clean C++ Code for Performance? Insights and Best Practices

This article argues that clean, readable C++ code should be the default, explaining the difference between performance and efficiency, why premature optimization can be harmful, and how thoughtful data structures and libraries can deliver both simplicity and speed when needed.

Best PracticesC++Performance
0 likes · 7 min read
Should You Sacrifice Clean C++ Code for Performance? Insights and Best Practices
Node Underground
Node Underground
Oct 26, 2017 · Backend Development

Mastering Node.js Scaling: Cloning, Decomposing, and Splitting Strategies

This article explains how Node.js’s built‑in cluster module and external tools like PM2 can be used to improve stability and load capacity through three scaling strategies—cloning, decomposing, and splitting—allowing applications to fully leverage multi‑core CPUs and achieve zero‑downtime restarts.

Performanceclusternodejs
0 likes · 2 min read
Mastering Node.js Scaling: Cloning, Decomposing, and Splitting Strategies
转转QA
转转QA
Oct 22, 2017 · Backend Development

Evolution and Architecture of a Transaction Service Testing Framework

This article details the evolution of a transaction‑related testing framework, describing its background, objectives, development stages—including all‑in‑one code, method extraction, project separation, data construction, checklist and performance testing—and outlines various test case categories and the lightweight release workflow.

AutomationData ConstructionPerformance
0 likes · 11 min read
Evolution and Architecture of a Transaction Service Testing Framework