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Apache JMeter - Open-Source Load & Performance Testing Tool
Apache JMeter is a powerful, open-source load testing tool designed to analyze and measure the performance of web applications and other services under various load conditions. It is used for testing performance both on static and dynamic resources.
Java
Added on 2025年7月5日8,875
Stars2,188
ForksJava
LanguageProject Introduction
Summary
Apache JMeter is a pure Java desktop application designed to load test functional behavior and measure performance. It can be used as a unit test tool for many types of services.
Problem Solved
Evaluating the performance, scalability, and reliability of applications and services under realistic load conditions is challenging. JMeter allows users to simulate heavy loads to identify bottlenecks and ensure applications meet performance requirements before deployment.
Core Features
Protocol Support
Supports testing of various protocols and technologies including HTTP, HTTPS, SOAP/REST, JDBC, JMS, FTP, etc.
GUI Test Plan Design
Provides a user-friendly GUI for creating and configuring test plans, including recording capabilities.
Result Analysis & Reporting
Offers a wide range of Listeners to display test results in different formats like graphs, tables, trees, etc.
Tech Stack
Java
Use Cases
JMeter's flexibility allows it to be applied to a wide array of performance testing scenarios:
Website Load and Stress Testing
Details
Simulating a large number of concurrent users accessing a website or web application to test its performance and stability under peak load.
User Value
Ensures websites can handle expected or peak traffic without degradation in performance or availability.
API Performance Testing
Details
Testing the performance of RESTful or SOAP web services by sending multiple requests concurrently and analyzing response times.
User Value
Validates that APIs meet response time SLAs and can scale to handle integration demands.
Database Performance Testing
Details
Assessing the performance of database servers by executing complex queries or transactions under heavy load.
User Value
Helps optimize database configurations and queries for better throughput and response times.
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