Tagged articles
322 articles
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360 Quality & Efficiency
360 Quality & Efficiency
Oct 14, 2016 · Backend Development

Comparative Performance Evaluation of JMeter, Locust, asyncio (Python) and Go for Server Load Testing

This article compares JMeter, LoadRunner, Locust, asyncio (Python) and Go-based load testing tools by measuring CPU, memory, Nginx response and TPS under varying concurrency levels, concluding that Go delivers the highest throughput while Python coroutines offer significant improvements over older Python versions.

JMeterLocustasyncio
0 likes · 10 min read
Comparative Performance Evaluation of JMeter, Locust, asyncio (Python) and Go for Server Load Testing
Meituan Technology Team
Meituan Technology Team
Oct 1, 2016 · Operations

How Meituan Scaled Its Mobile Deal System for Mega‑Promotions: Traffic Modeling & Capacity Planning

This article details Meituan's technical approach to handling massive traffic spikes during large‑scale promotions, covering background of the O2O deal platform, traffic‑model construction, capacity‑budget calculations, micro‑service architecture evolution, pressure‑test strategies, and the PTP performance‑testing environment used to validate system limits.

Operationscapacity planningload-testing
0 likes · 18 min read
How Meituan Scaled Its Mobile Deal System for Mega‑Promotions: Traffic Modeling & Capacity Planning

Five Popular Web Performance Testing Tools

With increasing emphasis on user experience, this article introduces five widely used web performance testing tools—HP LoadRunner, Apache JMeter, Load UI, Httperf, and Siege—detailing their capabilities for load simulation, functional testing, and performance analysis to help developers and testers optimize application reliability and speed.

Apache JMeterHP LoadRunnerWeb Tools
0 likes · 4 min read
Five Popular Web Performance Testing Tools
360 Quality & Efficiency
360 Quality & Efficiency
Apr 8, 2016 · Operations

Comparative Analysis of Six Server Load‑Testing Tools: LoadRunner, JMeter, Spirent Avalanche, Siege, Tsung, and Locust

This article presents a detailed comparison of six server‑side load‑testing tools—LoadRunner, JMeter, Spirent Avalanche, Siege, Tsung, and Locust—through multiple real‑world scenarios, evaluating their protocol support, scripting flexibility, performance, cost, and suitability for different testing requirements.

load-testingstress testingtool comparison
0 likes · 11 min read
Comparative Analysis of Six Server Load‑Testing Tools: LoadRunner, JMeter, Spirent Avalanche, Siege, Tsung, and Locust
21CTO
21CTO
Mar 17, 2016 · Backend Development

Turn Java Enterprise Performance Tuning into a Scientific Process

This article explains a systematic, waiting‑point‑based approach to enterprise Java performance tuning, covering load‑test design, analysis of existing versus new applications, hierarchical and technical waiting points, pool and cache sizing, and a back‑tuning workflow to achieve measurable improvements.

JavaOperationsPerformance tuning
0 likes · 17 min read
Turn Java Enterprise Performance Tuning into a Scientific Process
21CTO
21CTO
Jan 6, 2016 · Backend Development

Essential Best Practices for Accurate HTTP Load Testing

This article outlines ten practical guidelines—ranging from test environment consistency and dedicated hardware to network capacity checks, OS tuning, realistic workloads, proper test duration, and comprehensive result reporting—to ensure reliable and reproducible HTTP server performance benchmarks.

Operationsbackendbenchmark
0 likes · 13 min read
Essential Best Practices for Accurate HTTP Load Testing
ITPUB
ITPUB
Dec 4, 2015 · Backend Development

How to Measure and Optimize System Load Capacity for High‑Concurrency Backends

This guide explains key metrics, influencing factors, and practical tuning steps—including bandwidth, hardware, OS limits, TCP parameters, and server configurations—to assess and improve a backend system's maximum request handling capacity under high concurrency.

ConcurrencyLinux TuningMySQL
0 likes · 19 min read
How to Measure and Optimize System Load Capacity for High‑Concurrency Backends
21CTO
21CTO
Nov 12, 2015 · Operations

Scaling Suning’s E‑Commerce for Double‑11: System Splitting and Resilience

Suning’s technical team shares how they prepared for Double‑11 by splitting monolithic services into focused modules, building a robust foundational platform with cloud, middleware, and monitoring tools, refining R&D processes, and implementing comprehensive load‑testing, optimization, and emergency response plans to ensure system stability under massive traffic.

emergency responsee‑commerce architecturehigh-traffic
0 likes · 13 min read
Scaling Suning’s E‑Commerce for Double‑11: System Splitting and Resilience
MaGe Linux Operations
MaGe Linux Operations
Aug 6, 2015 · Operations

Mastering Software Performance Testing: Key Concepts & Calculation Formulas

This article explains essential software performance testing concepts—including QPS/TPS, concurrency, response time, throughput calculations, think time, and how to estimate daily traffic using real‑world examples from e‑commerce platforms—providing formulas and practical guidance for engineers, administrators, and developers to assess and optimize system capacity.

QPSResponse TimeThroughput
0 likes · 11 min read
Mastering Software Performance Testing: Key Concepts & Calculation Formulas
MaGe Linux Operations
MaGe Linux Operations
Jun 17, 2015 · Backend Development

Generating Millions of HTTP Requests per Second: Tsung, JMeter, and More

This article explains how to achieve ultra‑high HTTP request rates by using load‑generating tools such as Apache Bench, httperf, JMeter and Tsung, discusses Linux socket limits, provides step‑by‑step installation and configuration examples for Tsung on CentOS, and shows how to run tests and interpret the results for building a high‑performance web cluster.

HTTPJMeterLinux
0 likes · 13 min read
Generating Millions of HTTP Requests per Second: Tsung, JMeter, and More
MaGe Linux Operations
MaGe Linux Operations
Jun 15, 2015 · Backend Development

How to Tune Nginx for Over 900k Requests per Second on Linux

This guide walks you through installing and configuring Nginx for extreme request rates, optimizing kernel TCP settings, and using Tsung to benchmark a server that can sustain more than 900,000 requests per second, with detailed command examples and configuration snippets.

TCP Tuninghigh performanceload-testing
0 likes · 10 min read
How to Tune Nginx for Over 900k Requests per Second on Linux
MaGe Linux Operations
MaGe Linux Operations
Jul 5, 2014 · Operations

Discover 10 Free Tools to Load‑Test Your Web Applications

Learn about ten free, open‑source tools—including Grinder, JMeter, and Siege—that let you simulate concurrent users, measure performance, and identify bottlenecks in web applications, helping you assess server capacity and optimize site responsiveness under load.

OperationsWeb Performanceload-testing
0 likes · 8 min read
Discover 10 Free Tools to Load‑Test Your Web Applications
MaGe Linux Operations
MaGe Linux Operations
Jul 5, 2014 · Operations

How Tcpcopy Replicates Live Traffic for Realistic Load Testing

Tcpcopy is a distributed online pressure testing tool that copies live traffic to test machines, enabling realistic simulation of production environments without deploying new code, and the article explains its principles, code details, deployment steps, advanced usage, and real‑world application at Yitao.

load-testingnetworktcpcopy
0 likes · 13 min read
How Tcpcopy Replicates Live Traffic for Realistic Load Testing