Tagged articles
777 articles
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ByteDance Terminal Technology
ByteDance Terminal Technology
Oct 13, 2022 · Frontend Development

Optimizing the Size and Performance of a Frontend Monitoring SDK

This article explains how ByteDance's frontend monitoring SDK was systematically reduced in bundle size and runtime overhead through micro‑optimizations such as avoiding long class names, using functional patterns, minimizing polyfills, splitting files, leveraging Puppeteer‑based benchmarks, and applying requestIdleCallback scheduling to improve user experience on both web and mobile platforms.

FrontendOptimizationSDK
0 likes · 19 min read
Optimizing the Size and Performance of a Frontend Monitoring SDK
Architect
Architect
Sep 26, 2022 · Backend Development

Does Using try‑catch in Java Significantly Impact Performance? An In‑Depth JVM Analysis

This article investigates the common belief that Java's try‑catch blocks severely degrade performance by examining JVM exception handling mechanisms, analyzing compiled bytecode, and presenting extensive benchmark tests under various JVM compilation modes to determine the real impact of exception handling on execution speed.

Exception HandlingJITJVM
0 likes · 16 min read
Does Using try‑catch in Java Significantly Impact Performance? An In‑Depth JVM Analysis
Java Architect Essentials
Java Architect Essentials
Sep 18, 2022 · Databases

Redis vs Dragonfly: Benchmark Comparison and Architectural Insights

This article examines the open‑source memory cache Dragonfly, compares its performance and architecture against Redis through detailed benchmark results, discusses Redis’s response and design principles, and provides reproducible test configurations and command lines for both systems.

DragonflyMemory CachePerformance
0 likes · 16 min read
Redis vs Dragonfly: Benchmark Comparison and Architectural Insights
Su San Talks Tech
Su San Talks Tech
Sep 3, 2022 · Databases

Dragonfly vs Redis: Does the New Cache System Really Outperform?

An in‑depth comparison shows that while Dragonfly claims to be the world’s fastest memory cache, Redis 7.0 often delivers higher throughput and lower latency across multiple benchmark scenarios, highlighting architectural trade‑offs and the potential for future feature adoption from Dragonfly into Redis.

DragonflyIn-Memory CachePerformance
0 likes · 19 min read
Dragonfly vs Redis: Does the New Cache System Really Outperform?
Model Perspective
Model Perspective
Aug 29, 2022 · Artificial Intelligence

Solving the Rastrigin Function with a Genetic Algorithm in Python

This article introduces the multimodal Rastrigin function, explains its challenges for optimization, and demonstrates a complete Python implementation of a genetic algorithm—including encoding, selection, crossover, mutation, and decoding—to locate the function’s global minimum, with visual results and performance analysis.

OptimizationPythonRastrigin function
0 likes · 6 min read
Solving the Rastrigin Function with a Genetic Algorithm in Python
Tencent Cloud Developer
Tencent Cloud Developer
Aug 18, 2022 · Fundamentals

Perfect Hash Functions and Their Use in High‑Performance HashMaps

The article explains perfect hash functions, their collision‑free construction methods such as FCH, CHD, and PTHash, compares them to conventional hash tables, reviews common and cryptographic hash functions, and shows how read‑only perfect‑hash maps deliver faster lookups and lower memory use for static key sets.

Data Structurealgorithmbenchmark
0 likes · 21 min read
Perfect Hash Functions and Their Use in High‑Performance HashMaps
DataFunTalk
DataFunTalk
Aug 10, 2022 · Big Data

Delta Lake 2.0, Iceberg, Hudi: A Comparative Study and the Arctic Lakehouse Service

The article reviews recent developments in data‑lake table formats—Delta Lake 2.0, Iceberg, and Hudi—examining their features, benchmark results, and ecosystem impact, and then introduces Arctic, an open‑source streaming lakehouse service built on Iceberg that aims to bridge batch‑stream gaps for enterprises.

Delta LakeHudiIceberg
0 likes · 24 min read
Delta Lake 2.0, Iceberg, Hudi: A Comparative Study and the Arctic Lakehouse Service
Laravel Tech Community
Laravel Tech Community
Aug 4, 2022 · Backend Development

ip2region 2.10.0 Release: New C# and Node.js Clients, Benchmarks, and Fixes

The ip2region 2.10.0 update introduces C# and Node.js query clients, provides detailed benchmark results, fixes a Python XDB searcher bug, disables buffer‑related functions for several languages, and includes a Maven dependency snippet for Java, all while maintaining microsecond‑level query performance for offline IP lookup.

C#JavaNode.js
0 likes · 3 min read
ip2region 2.10.0 Release: New C# and Node.js Clients, Benchmarks, and Fixes
FunTester
FunTester
Jul 27, 2022 · Backend Development

How Java’s DelayQueue Handles Million‑QPS Loads: Performance Test Insights

This article examines the implementation of java.util.concurrent.DelayQueue for high‑throughput performance testing, presents a custom Delayed object, shares benchmark code and results across various thread counts, and concludes that DelayQueue can sustain several million QPS when properly tuned.

DelayQueueJavaQueue
0 likes · 7 min read
How Java’s DelayQueue Handles Million‑QPS Loads: Performance Test Insights
21CTO
21CTO
Jul 6, 2022 · Operations

Energy-Efficient Programming Languages: Results from a Cross-Language Study

A recent paper examines the energy consumption, runtime, and memory usage of software across 27 programming languages, revealing that compiled languages like C and C++ are the most energy‑efficient, while highlighting the growing importance of energy awareness in software development and its implications for embedded, mobile, and cryptocurrency applications.

benchmarkenergy efficiencygreen computing
0 likes · 5 min read
Energy-Efficient Programming Languages: Results from a Cross-Language Study
FunTester
FunTester
Jun 14, 2022 · Backend Development

Why ConcurrentHashMap Slows Down with Hundreds of Threads? A Deep Performance Test

This article presents a detailed benchmark of java.util.concurrent.ConcurrentHashMap under high thread counts, explains the test methodology using a Groovy‑based FunTester framework, shares raw performance numbers, and uncovers that CPU limits and random number generation are the primary bottlenecks.

ConcurrentHashMapJavaPerformance
0 likes · 7 min read
Why ConcurrentHashMap Slows Down with Hundreds of Threads? A Deep Performance Test
Tencent Cloud Developer
Tencent Cloud Developer
Jun 6, 2022 · Cloud Computing

High‑Performance Network Solutions: RDMA, RoCE, iWARP and io_uring – Principles, Implementation and Benchmark Analysis

The article reviews high‑performance networking options—RDMA (including RoCE v2 and iWARP) and Linux’s io_uring—explaining their principles, hardware requirements, and benchmark results, and concludes that while RDMA delivers ultra‑low latency for specialized workloads, io_uring offers modest network benefits, leaving TCP as the default for most services.

High‑Performance NetworkingRDMAbenchmark
0 likes · 10 min read
High‑Performance Network Solutions: RDMA, RoCE, iWARP and io_uring – Principles, Implementation and Benchmark Analysis
AntTech
AntTech
Jun 2, 2022 · Databases

LDBC Announces the First Global Financial Graph Database Benchmark (FinBench)

The LDBC has approved the world’s first financial graph database benchmark, FinBench, a collaborative effort led by Ant Group to provide a rigorous, open‑source testing suite that simulates real‑world financial workloads and fills a critical gap in graph database evaluation.

Ant GroupFinBenchGraph Database
0 likes · 4 min read
LDBC Announces the First Global Financial Graph Database Benchmark (FinBench)
Code DAO
Code DAO
May 31, 2022 · Artificial Intelligence

How Deep Convolutional Networks Boost Image Super-Resolution: A Paper Review

This article reviews the seminal SRCNN paper, detailing its contributions, architecture, training pipeline, hyper‑parameters, and extensive experiments that show how a shallow fully‑convolutional network achieves superior PSNR and runtime compared to traditional sparse‑coding and bicubic methods.

CNNPSNRSRCNN
0 likes · 12 min read
How Deep Convolutional Networks Boost Image Super-Resolution: A Paper Review
Tencent Cloud Developer
Tencent Cloud Developer
Mar 30, 2022 · Backend Development

Go High-Performance Programming: Concurrency Optimization Techniques

This article, the second in a Go high‑performance series, details concurrency optimizations including lock‑free data structures versus locked lists, sharding and RWMutex to cut lock contention, controlling goroutine creation with pooling, using sync.Once for cheap one‑time initialization, and employing sync.Cond for efficient goroutine notification.

GoGoroutineOptimization
0 likes · 30 min read
Go High-Performance Programming: Concurrency Optimization Techniques
StarRocks
StarRocks
Mar 10, 2022 · Databases

StarRocks 2.0 vs ClickHouse: Benchmark Shows Up to 7× Speed Boost

Community testing of StarRocks 2.0 revealed that, across multiple benchmarks—including low‑cardinality queries, SSB workloads, and high‑concurrency scenarios—StarRocks consistently outperformed ClickHouse and Druid, delivering performance gains ranging from 2‑3× to over 7×.

ClickHousePerformanceSSB
0 likes · 6 min read
StarRocks 2.0 vs ClickHouse: Benchmark Shows Up to 7× Speed Boost
FunTester
FunTester
Feb 14, 2022 · Backend Development

Performance Comparison of LMAX Disruptor and LinkedBlockingQueue in Java

This article presents a comprehensive performance comparison between LMAX Disruptor and Java's LinkedBlockingQueue, detailing test setups, producer and consumer configurations, various object sizes, benchmark results, and practical conclusions for high‑throughput backend systems.

DisruptorJavabenchmark
0 likes · 26 min read
Performance Comparison of LMAX Disruptor and LinkedBlockingQueue in Java
Sohu Tech Products
Sohu Tech Products
Feb 2, 2022 · Mobile Development

Performance Optimization Analysis of Swift Subarray Extraction

This article examines various methods for extracting subarrays in Swift, benchmarking loop‑based copying, range subscripting with map, while loops, and direct memory copying via memcpy, analyzing their execution times, compiler optimizations, and trade‑offs to guide developers toward efficient array handling in performance‑critical applications.

ArrayMemoryCopyPerformance
0 likes · 16 min read
Performance Optimization Analysis of Swift Subarray Extraction
MaGe Linux Operations
MaGe Linux Operations
Jan 6, 2022 · Fundamentals

Why the Fastest Way to Loop in Python Is Not to Loop at All

This article compares Python's while and for loops, shows benchmark results revealing that for loops run faster due to fewer Python‑level operations, and demonstrates that using built‑in functions like sum or applying a mathematical formula can make looping dramatically faster, often eliminating the loop entirely.

Algorithm OptimizationPythonbenchmark
0 likes · 6 min read
Why the Fastest Way to Loop in Python Is Not to Loop at All
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 6, 2022 · Big Data

Inside Alibaba Cloud’s MRACC Engine: How It Won the TPCx‑BB Benchmark

Alibaba Cloud’s self‑developed MRACC (Apasara Compute MapReduce Accelerator) leveraged hardware‑software integration, Spark and Hadoop optimizations, and eRDMA networking to achieve the top TPCx‑BB SF3000 performance, delivering up to 2‑3× faster SQL queries and 30% faster Spark shuffle, with significant cost efficiency gains.

Big DataRDMAbenchmark
0 likes · 9 min read
Inside Alibaba Cloud’s MRACC Engine: How It Won the TPCx‑BB Benchmark
Code DAO
Code DAO
Dec 30, 2021 · Artificial Intelligence

Exemplar Transformers Enable 8× Faster CPU‑Compatible Visual Tracking

Researchers at ETH Zurich introduce Exemplar Transformers, a novel Transformer layer that accelerates visual object tracking by eight times, runs in real‑time on CPUs, and improves robustness when integrated into a Siamese‑based tracker, achieving state‑of‑the‑art performance on six benchmark datasets.

CPUSiamese trackerTransformer
0 likes · 5 min read
Exemplar Transformers Enable 8× Faster CPU‑Compatible Visual Tracking
IT Architects Alliance
IT Architects Alliance
Dec 21, 2021 · Databases

Performance Benchmark Report: RedisJSON vs MongoDB and ElasticSearch

The report presents a comprehensive performance benchmark of RedisJSON (RediSearch) against MongoDB and ElasticSearch, showing RedisJSON’s superior write, read, and mixed‑workload throughput and latency across isolated and hybrid scenarios, with detailed test methodology and analysis.

NoSQLPerformanceRedisJSON
0 likes · 12 min read
Performance Benchmark Report: RedisJSON vs MongoDB and ElasticSearch
Java Captain
Java Captain
Dec 18, 2021 · Databases

Performance Benchmark of RedisJSON vs MongoDB and ElasticSearch

The report presents extensive YCSB‑based performance benchmarks showing that RedisJSON (with RediSearch) outperforms MongoDB and ElasticSearch by large margins in isolated writes, isolated reads, mixed workloads, and latency across a variety of operation mixes on identical AWS hardware.

ElasticsearchMongoDBNoSQL
0 likes · 15 min read
Performance Benchmark of RedisJSON vs MongoDB and ElasticSearch
Top Architect
Top Architect
Dec 16, 2021 · Databases

RedisJSON Performance Benchmark Compared with MongoDB and ElasticSearch

This article presents a detailed performance benchmark of RedisJSON (RediSearch) against MongoDB and ElasticSearch, showing RedisJSON’s superior throughput and latency across isolated writes, reads, and mixed workloads, supported by YCSB test results and extensive latency analysis.

MongoDBPerformanceRedisJSON
0 likes · 12 min read
RedisJSON Performance Benchmark Compared with MongoDB and ElasticSearch
FunTester
FunTester
Dec 8, 2021 · Databases

How Fast Can MySQL Insert and Delete? FunTester Performance Benchmarks

This article walks through using the FunTester framework to benchmark MySQL insert and delete operations, showing Java code examples, test configurations, and JSON results that reveal a high QPS for inserts and a noticeable slowdown when deletions are performed.

DELETEFunTesterInsert
0 likes · 7 min read
How Fast Can MySQL Insert and Delete? FunTester Performance Benchmarks
Laravel Tech Community
Laravel Tech Community
Dec 5, 2021 · Backend Development

PHP 8.1 Release and Performance Benchmark Report

The article announces the official release of PHP 8.1 and presents a detailed performance benchmark conducted on an Ubuntu Linux AMD EPYC 72F3 server, comparing multiple PHP versions and highlighting the roughly 4% speed improvement of PHP 8.1 over its predecessor.

LinuxPHPVersion 8.1
0 likes · 4 min read
PHP 8.1 Release and Performance Benchmark Report
21CTO
21CTO
Dec 1, 2021 · Backend Development

How Much Faster Is PHP 8.1? In‑Depth Benchmark Results Across Versions

An extensive Phoronix benchmark on Ubuntu‑based AMD EPYC servers compares PHP 8.1 with earlier releases, revealing roughly 4 % speed gains over PHP 8.0, lower peak memory usage, and consistent performance improvements across micro‑benchmarks, XML parsing, and JSON generation.

PHPServerbackend
0 likes · 5 min read
How Much Faster Is PHP 8.1? In‑Depth Benchmark Results Across Versions
FunTester
FunTester
Nov 30, 2021 · Backend Development

Which HTTP Client Wins? Java FunTester vs Go net/http vs fasthttp Performance Test

The article presents a detailed performance comparison of three HTTP client implementations—Java FunTester, Go's net/http, and the high‑performance fasthttp library—across multiple thread counts and artificial latency settings, reporting CPU usage, memory consumption, and QPS to determine the most efficient choice.

GoHTTPJava
0 likes · 9 min read
Which HTTP Client Wins? Java FunTester vs Go net/http vs fasthttp Performance Test
Selected Java Interview Questions
Selected Java Interview Questions
Nov 27, 2021 · Backend Development

Understanding Java Stream API: Operations, Characteristics, and Performance Compared to Iterator

This article introduces Java 8's Stream API, explains its intermediate and terminal operations, highlights its functional characteristics, compares its performance with traditional iterator loops through benchmark tests, and offers practical recommendations for using streams and parallel streams in backend development.

IteratorJavaParallel Stream
0 likes · 12 min read
Understanding Java Stream API: Operations, Characteristics, and Performance Compared to Iterator
Open Source Linux
Open Source Linux
Nov 16, 2021 · Databases

How to Stress Test Redis with redis-benchmark: A Quick Guide

This guide explains how to use Redis's built-in redis-benchmark tool to simulate concurrent client load, interpret key performance metrics such as request latency and throughput, and monitor server resource usage, helping operators prevent cache-related failures like penetration and avalanche after deployment.

OperationsRedisbenchmark
0 likes · 3 min read
How to Stress Test Redis with redis-benchmark: A Quick Guide
Tencent Cloud Developer
Tencent Cloud Developer
Oct 11, 2021 · Backend Development

Comparison of Go JSON Parsing Libraries: Performance, Features, and Usage Guidelines

The article compares Go's built‑in encoding/json with third‑party libraries jsoniter, easyjson, jsonparser, and the author's jsonvalue, outlining each one's features, performance benchmarks, and ideal use cases—standard library for simplicity, easyjson for maximum speed with code generation, jsonparser or jsoniter for selective extraction, and jsonvalue for flexible, case‑insensitive handling.

DeserializationJSONbenchmark
0 likes · 21 min read
Comparison of Go JSON Parsing Libraries: Performance, Features, and Usage Guidelines
Programmer DD
Programmer DD
Sep 21, 2021 · Backend Development

Why Adding More Dubbo Connections Doesn’t Always Boost Throughput

This article examines Dubbo’s connection‑control feature, demonstrates how long‑living TCP connections are created, runs benchmark tests with one and two connections, discovers that varying IO thread counts skew results, and shows that increasing connections alone rarely improves throughput.

Connection ControlDubboIO Threads
0 likes · 14 min read
Why Adding More Dubbo Connections Doesn’t Always Boost Throughput
Wukong Talks Architecture
Wukong Talks Architecture
Sep 2, 2021 · Databases

Step-by-Step Guide to Building and Benchmarking a Redis Master‑Slave Architecture

This article provides a comprehensive tutorial on setting up a one‑master‑one‑slave Redis replication environment, configuring read‑write separation, verifying data synchronization, testing read‑only behavior, and performing performance benchmarking with redis‑benchmark, complete with command examples and result analysis.

CachingDatabasePerformance
0 likes · 9 min read
Step-by-Step Guide to Building and Benchmarking a Redis Master‑Slave Architecture
DataFunSummit
DataFunSummit
Aug 10, 2021 · Artificial Intelligence

Challenges and Future Directions for Recommendation Systems: Benchmarks, Explainability, and Data Confounding

The article examines the rapid growth of recommendation systems, highlighting the need for industrial‑grade benchmarks, transparent explainability, and addressing algorithmic confounding caused by feedback loops, while discussing how these issues affect both users and content providers in the AI‑driven ecosystem.

AIbenchmarkconfounding
0 likes · 12 min read
Challenges and Future Directions for Recommendation Systems: Benchmarks, Explainability, and Data Confounding
Beike Product & Technology
Beike Product & Technology
Aug 6, 2021 · Mobile Development

Beike iOS Cold‑Start Optimization Practices and Framework

This article systematically presents the cold‑start performance problems of the Beike iOS app, defines testing standards, explains the essence of optimization, lists common pitfalls, and details a comprehensive set of practical solutions ranging from lifecycle‑aware task scheduling and minimal‑set launchers to dynamic‑library lazy loading, compile‑time I/O elimination, static‑initializer handling, dead‑code removal, and monitoring standards.

FrameworkPerformance OptimizationStartup
0 likes · 22 min read
Beike iOS Cold‑Start Optimization Practices and Framework
DataFunTalk
DataFunTalk
Aug 5, 2021 · Big Data

Building a Unified High‑Performance OLAP Platform with DorisDB at Beike Real Estate

The article describes how Beike Real Estate consolidated multiple OLAP engines into a single DorisDB‑based platform, detailing the business challenges, DorisDB’s technical advantages, extensive performance and concurrency benchmarks, and the resulting improvements in stability, query speed, and operational simplicity across various business scenarios.

AnalyticsBig DataDorisDB
0 likes · 14 min read
Building a Unified High‑Performance OLAP Platform with DorisDB at Beike Real Estate
Top Architect
Top Architect
Jun 29, 2021 · Backend Development

Performance Comparison of Java Stream API vs Iterator and Recommendations

This article explains Java 8 Stream fundamentals, compares its intermediate and terminal operations with traditional iterator loops through a series of benchmark tests (mapping, filtering, sorting, reduction, string joining, and mixed operations), analyzes results for different data sizes and CPU configurations, and provides practical guidance on when to use Stream, parallel Stream, or iterator in backend development.

Backend DevelopmentIteratorJava
0 likes · 12 min read
Performance Comparison of Java Stream API vs Iterator and Recommendations
Big Data Technology Architecture
Big Data Technology Architecture
Jun 22, 2021 · Databases

Hopsworks Feature Store: Transparent Dual‑Storage System for Online and Offline Machine Learning Features

This article explains how Hopsworks’ feature store unifies online low‑latency and offline high‑throughput storage using a dual‑system architecture built on RonDB, detailing its API, metadata handling, ingestion pipeline, benchmarks, and how it simplifies production machine‑learning feature access.

Feature StoreMachine LearningRonDB
0 likes · 17 min read
Hopsworks Feature Store: Transparent Dual‑Storage System for Online and Offline Machine Learning Features
Open Source Linux
Open Source Linux
Jun 10, 2021 · Databases

MySQL vs MariaDB: Real-World Performance Benchmark and Analysis

This article reviews the history of MySQL and MariaDB, describes a test environment, runs insertion, batch, and query benchmarks (with and without indexes), and concludes that MariaDB generally outperforms MySQL in speed and memory usage while highlighting trade‑offs of indexing.

Database PerformanceInnoDBMariaDB
0 likes · 9 min read
MySQL vs MariaDB: Real-World Performance Benchmark and Analysis
Programmer DD
Programmer DD
May 17, 2021 · Backend Development

Java Stream vs Iterator: Performance Benchmarks and Best Practices

This article explains Java 8 Stream fundamentals, compares intermediate and terminal operations, outlines stream characteristics and advantages over collections, and presents detailed benchmark results comparing Stream, parallel Stream, and traditional iterator across various data‑processing tasks.

IteratorJavaParallel Stream
0 likes · 13 min read
Java Stream vs Iterator: Performance Benchmarks and Best Practices
FunTester
FunTester
May 6, 2021 · Backend Development

Do Thread‑Safe Classes and synchronized Really Slow Down Performance Tests?

This article examines how adding Java thread‑safe classes and the synchronized keyword influences QPS in performance testing, presenting code modifications, benchmark results for 20 and 40 threads, and concluding that their impact on measured throughput is minimal.

JavaQPSSynchronization
0 likes · 8 min read
Do Thread‑Safe Classes and synchronized Really Slow Down Performance Tests?
MaGe Linux Operations
MaGe Linux Operations
Apr 29, 2021 · Fundamentals

Why Is Python So Slow? Boost Speed 1000× with NumPy UFuncs

This article examines Python's notorious performance lag, explains why its dynamic typing and object overhead make simple loops sluggish, and demonstrates how NumPy's universal functions can accelerate reciprocal calculations by over a thousand times, outperforming even compiled languages.

NumPyPythonUFunc
0 likes · 9 min read
Why Is Python So Slow? Boost Speed 1000× with NumPy UFuncs
Python Programming Learning Circle
Python Programming Learning Circle
Apr 29, 2021 · Backend Development

Why Sanic Is the Preferred Asynchronous Python Web Framework for High‑Performance Applications

This article compares traditional Python web frameworks with modern asynchronous alternatives, presents benchmark data showing Sanic’s superior speed, explains the benefits of async I/O, and discusses Sanic’s ecosystem, production readiness, documentation, and community support for developers seeking high‑performance backend solutions.

AsyncPerformancePython
0 likes · 9 min read
Why Sanic Is the Preferred Asynchronous Python Web Framework for High‑Performance Applications
php Courses
php Courses
Apr 22, 2021 · Backend Development

Comparing Three PHP Methods to Multiply an Integer by 1000: String Concatenation, Direct Multiplication, and 1024‑Minus‑24 Approximation

This article examines three ways to enlarge a positive integer by a factor of one thousand in PHP—concatenating "000", multiplying by 1000, and using the expression X*1024‑X*24—benchmarks each method with ten million iterations, analyses the performance results, and discusses why the binary‑based formula may be slower than direct multiplication.

PHPPerformancebackend
0 likes · 6 min read
Comparing Three PHP Methods to Multiply an Integer by 1000: String Concatenation, Direct Multiplication, and 1024‑Minus‑24 Approximation
Architecture Digest
Architecture Digest
Mar 4, 2021 · Databases

Performance Comparison Between MariaDB and MySQL

This article reviews the history of MySQL, introduces MariaDB as its open‑source fork, and presents a series of benchmark tests—including single‑row inserts, batch inserts, and various query scenarios—showing that MariaDB generally outperforms MySQL in speed while using more memory.

Database PerformanceMariaDBSQL
0 likes · 8 min read
Performance Comparison Between MariaDB and MySQL
Refining Core Development Skills
Refining Core Development Skills
Feb 24, 2021 · Backend Development

Achieving One Million TCP Connections: Theory, Kernel Tuning, and Practical Implementation in C/Java/PHP

This article explains TCP concurrency theory, details two experimental approaches for reaching one million simultaneous connections using multi‑IP or multi‑port strategies, and provides step‑by‑step kernel tuning, source code, and validation commands for C, Java, and PHP implementations.

JavaKernel TuningTCP
0 likes · 16 min read
Achieving One Million TCP Connections: Theory, Kernel Tuning, and Practical Implementation in C/Java/PHP
360 Tech Engineering
360 Tech Engineering
Feb 19, 2021 · Backend Development

Guide to Writing and Running Unit Tests in Go

This article explains the importance of unit testing for reliable software, introduces Go's built‑in testing framework, demonstrates how to write test files, use TestMain, benchmark code, and employ the httptest package for HTTP server testing, all illustrated with complete code examples.

Unit Testbenchmarkcode coverage
0 likes · 12 min read
Guide to Writing and Running Unit Tests in Go
Top Architect
Top Architect
Feb 12, 2021 · Backend Development

Performance Comparison of String and StringBuilder in Java Loops

The article presents a series of Java benchmarks that compare per‑iteration and cumulative string concatenation using String versus StringBuilder, explains why the compiler optimises String concatenation to StringBuilder, and draws conclusions about the most efficient usage patterns in loop‑heavy code.

/loopJavaOptimization
0 likes · 8 min read
Performance Comparison of String and StringBuilder in Java Loops
KooFE Frontend Team
KooFE Frontend Team
Feb 9, 2021 · Frontend Development

Which JavaScript Loop Is Fastest? Benchmark Results and Best Use Cases

This article compares the performance of common JavaScript looping constructs—including for, reverse for, forEach, for...of, for...in, and for...await—provides benchmark code on a million‑element array, explains the speed differences, and offers guidance on choosing the right loop for readability and maintainability.

JavaScriptLoopsPerformance
0 likes · 7 min read
Which JavaScript Loop Is Fastest? Benchmark Results and Best Use Cases
Liangxu Linux
Liangxu Linux
Feb 7, 2021 · Databases

Why MariaDB Outperforms MySQL: A Detailed Performance Comparison

This article traces MySQL’s evolution, introduces its fork MariaDB, and presents a comprehensive performance benchmark—covering single and batch inserts, indexed and non‑indexed queries—on identical hardware, revealing that MariaDB generally delivers faster execution times albeit with higher memory usage.

DatabaseMariaDBPerformance
0 likes · 10 min read
Why MariaDB Outperforms MySQL: A Detailed Performance Comparison
Top Architect
Top Architect
Feb 4, 2021 · Backend Development

Performance Impact of Java Reflection: Empirical Tests and Analysis

This article empirically investigates whether Java reflection incurs performance penalties, describing a series of benchmark tests that compare direct method/field access with reflective calls, analyzing results, identifying the main cost factors, and offering practical guidelines to mitigate reflection overhead in production code.

JavaOptimizationPerformance
0 likes · 11 min read
Performance Impact of Java Reflection: Empirical Tests and Analysis
High Availability Architecture
High Availability Architecture
Feb 1, 2021 · Fundamentals

Java Buffer Types vs Native Arrays: Which Is Faster?

The article compares Java native arrays and Buffer types such as IntBuffer, showing through benchmarks that native arrays are typically over four times faster than Buffers, and discusses the memory management, performance trade‑offs, and practical implications of using each abstraction.

ArraysBuffersbenchmark
0 likes · 5 min read
Java Buffer Types vs Native Arrays: Which Is Faster?
Architect
Architect
Jan 31, 2021 · Fundamentals

Investigating the Performance Impact of Java Reflection

This article presents a series of benchmarks that compare direct method and field access with reflective calls in Java, analyzes where the performance overhead originates, and offers practical guidelines to mitigate reflection‑related slowdown in real‑world applications.

JavaOptimizationPerformance
0 likes · 9 min read
Investigating the Performance Impact of Java Reflection
Programmer DD
Programmer DD
Jan 13, 2021 · Backend Development

Can Java Microservices Match Go’s Speed? A Deep Performance Comparison

This article examines whether Java microservices can be as fast as Go by presenting a series of benchmark tests using simple services, Helidon and Go toolkits, various JVMs, GraalVM native images, and Kubernetes deployments, and analyzing latency, throughput, and memory usage across multiple hardware configurations.

GoJavaMicroservices
0 likes · 10 min read
Can Java Microservices Match Go’s Speed? A Deep Performance Comparison
Code Ape Tech Column
Code Ape Tech Column
Jan 4, 2021 · Backend Development

Is FastJson Really Faster? Benchmark vs Jackson and Gson

This article evaluates Alibaba's FastJson library by comparing its parsing speed, Maven popularity, and issue count against Jackson and Gson, presenting benchmark results, highlighting a critical bug in timestamp handling, and concluding with a recommendation to prefer Jackson for most Java projects.

FastJSONGsonJackson
0 likes · 7 min read
Is FastJson Really Faster? Benchmark vs Jackson and Gson
Code Ape Tech Column
Code Ape Tech Column
Jan 4, 2021 · Databases

Using MySQL’s mysqlslap and Sysbench for Database Stress Testing

This article explains how to perform MySQL performance benchmarking with the built‑in mysqlslap tool and the third‑party sysbench utility, covering configuration changes, command‑line options, data preparation, execution steps, and interpretation of the resulting metrics.

Sysbenchbenchmarkmysql
0 likes · 15 min read
Using MySQL’s mysqlslap and Sysbench for Database Stress Testing
Liangxu Linux
Liangxu Linux
Dec 1, 2020 · Fundamentals

How Much CPU Time Does a Linux Context Switch Really Cost?

This article measures the CPU time consumed by Linux process and thread context switches, explains the underlying operations, compares simple token‑passing tests with lmbench benchmarks, and shows how to monitor and interpret switch statistics on a production server.

LinuxPerformancebenchmark
0 likes · 13 min read
How Much CPU Time Does a Linux Context Switch Really Cost?
php Courses
php Courses
Nov 27, 2020 · Backend Development

Phoronix PHP 8 Performance Benchmark Report Highlights JIT Gains

Phoronix’s benchmark of PHP 8 (built from the latest Git source) compares it with previous PHP releases, showing modest gains for the stable version but a dramatic 92% speed increase when JIT is enabled, while also revealing mixed results across different test suites due to I/O bottlenecks.

JITPHP8Performance
0 likes · 3 min read
Phoronix PHP 8 Performance Benchmark Report Highlights JIT Gains
php Courses
php Courses
Nov 17, 2020 · Backend Development

Performance‑Optimized PHP: Faster Alternatives for Duplicates, Random Selection, Alphanumeric Checks, and Substring Replacement

This article presents several PHP function alternatives that significantly improve execution speed—such as using array_keys + array_flip for duplicate removal, mt_rand for random selection, ctype_alnum for alphanumeric testing, and strtr for substring replacement—backed by benchmark results and practical tips.

ArrayPerformanceString
0 likes · 6 min read
Performance‑Optimized PHP: Faster Alternatives for Duplicates, Random Selection, Alphanumeric Checks, and Substring Replacement
Programmer DD
Programmer DD
Nov 16, 2020 · Backend Development

Is System.currentTimeMillis Really a Performance Bottleneck? A Deep Dive

This article investigates whether System.currentTimeMillis suffers from performance problems by examining custom caching implementations, analyzing common misconceptions, presenting benchmark data from both simple loops and JMH tests, and concluding that the native method is sufficiently fast for typical use cases.

JMHJavaPerformance
0 likes · 13 min read
Is System.currentTimeMillis Really a Performance Bottleneck? A Deep Dive
php Courses
php Courses
Nov 9, 2020 · Backend Development

Performance‑Optimized Alternatives to Common PHP Functions

This article presents faster PHP alternatives for removing duplicate array values, selecting random elements, testing alphanumeric strings, and replacing substrings, providing benchmark results that show significant speed improvements and discussing trade‑offs and additional coding tips for better script performance.

ArrayPerformanceString
0 likes · 6 min read
Performance‑Optimized Alternatives to Common PHP Functions
Programmer DD
Programmer DD
Oct 19, 2020 · Fundamentals

ArrayList vs LinkedList: When Each Data Structure Truly Shines

This article benchmarks Java's ArrayList and LinkedList by measuring insertion and lookup times at the head, tail, and middle of a list with 100,000 elements, then explains the underlying source‑code mechanisms that cause the observed performance differences.

Data StructuresJavaLinkedList
0 likes · 10 min read
ArrayList vs LinkedList: When Each Data Structure Truly Shines
Programmer DD
Programmer DD
Oct 14, 2020 · Backend Development

Does Java Reflection Really Slow Down Your App? A Deep Performance Test

This article investigates whether Java reflection impacts performance by running systematic benchmarks that compare direct method calls, reflective method calls, direct field access, and reflective field access across varying iteration counts, presenting detailed results, analysis of the slow paths, and practical guidelines to mitigate any overhead.

AndroidJavaPerformance
0 likes · 12 min read
Does Java Reflection Really Slow Down Your App? A Deep Performance Test
Top Architect
Top Architect
Oct 9, 2020 · Backend Development

Investigating the Performance Impact of Java Reflection

This article presents a systematic benchmark of Java reflection versus direct method and field access, analyzes the measured latency across varying call counts, identifies the costly operations within reflection (such as getMethod, getDeclaredField, invoke, and set), and offers practical guidelines to mitigate reflection‑induced performance overhead.

AndroidJavaOptimization
0 likes · 11 min read
Investigating the Performance Impact of Java Reflection
Top Architect
Top Architect
Sep 17, 2020 · Backend Development

Benchmarking Fork/Join Framework vs Parallel Streams vs ExecutorService in Java

This article benchmarks Java's Fork/Join framework, Parallel Streams, and ExecutorService across IO‑bound and CPU‑bound workloads on an 8‑core machine, analyzing how thread count and pool configuration affect performance and offering practical recommendations for concurrent Java applications.

ExecutorServiceForkJoinJava
0 likes · 10 min read
Benchmarking Fork/Join Framework vs Parallel Streams vs ExecutorService in Java
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 15, 2020 · Big Data

Designing Nexmark: A Standard Benchmark for Stream Processing Performance

This article examines the challenges of existing stream‑processing benchmarks, introduces the open‑source Nexmark framework designed for reproducible, comprehensive performance testing, describes its metrics, query set, workload configurability, and presents experimental results on Flink, highlighting its role in advancing big‑data stream benchmarking.

CPUFlinkLatency
0 likes · 14 min read
Designing Nexmark: A Standard Benchmark for Stream Processing Performance