What are the key features of JMeter for performance testing?

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Apache JMeter is a powerful open-source tool designed for performance and load testing of applications, especially web-based systems. It simulates multiple users sending requests to a server, enabling developers and testers to measure and analyze performance under varying loads.

Key Features of JMeter:

1. Load Testing & Stress Testing:
   JMeter can simulate thousands of concurrent users to test how an application performs under heavy load, helping identify performance bottlenecks.

2. Protocol Support:
   Supports a wide range of protocols including HTTP, HTTPS, SOAP, REST, FTP, JDBC (database), JMS (messaging), LDAP, and more.

3. Thread Group Management:
   Allows users to define the number of virtual users (threads), ramp-up period, and loop count to simulate realistic traffic patterns.

4. Assertions & Listeners:
   Assertions validate server responses, while listeners like graphs, tables, and trees capture results for analysis and reporting.

5. Test Plan Reusability:
   Modular test plans can be reused using test fragments and include controllers, making test design efficient and scalable.

6. Parameterization & Data-Driven Testing:
   Supports CSV Data Set Config to drive tests with dynamic input data, simulating real-world usage more accurately.

7. Scripting & Extensibility:
   Supports scripting with BeanShell, Groovy, and JSR223 for custom logic. Also extensible via plugins for added features.

8. Integration Support:
   Easily integrates with CI/CD tools like Jenkins for automated performance testing in development pipelines.

In summary, JMeter offers a comprehensive set of features for performance testing, enabling accurate simulation, analysis, and optimization of system behavior under load.

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