This project is aimed at conducting performance testing of web applications using industry-standard tools and methodologies. It helps in identifying performance bottlenecks, analyzing system behavior under various load conditions, and ensuring that the application meets performance requirements.
- Load Testing: Conduct load testing to determine the system's behavior under expected and peak load conditions.
- Stress Testing: Perform stress testing to evaluate the system's robustness and stability under extreme load conditions.
- Scalability Testing: Assess the system's ability to handle increased workload by adding resources or scaling horizontally.
- Performance Monitoring: Monitor key performance metrics such as response time, throughput, and resource utilization.
- Reporting: Generate comprehensive performance reports with graphical representations for analysis and decision-making.
- Apache JMeter: An open-source tool for load testing and performance measurement.
- Gatling: A highly scalable load testing framework for web applications.
- New Relic: A monitoring tool for application performance management.
- Grafana: A visualization tool for monitoring and analyzing performance metrics.
- Java Development Kit (JDK) installed
- Apache JMeter, Gatling, New Relic, and Grafana installed and configured
- Knowledge of performance testing concepts and methodologies
- Clone the repository:
git clone https://github.com/imark0007/performanceTesting.git
- Navigate to the project directory:
cd performanceTesting - Install any additional dependencies or plugins required for the selected performance testing tools.
1.Configure the performance testing scenarios, including test scripts, workload profiles, and test data. 2.Execute the performance tests using the selected tools. 3.Monitor and analyze the performance metrics during test execution. 4.Generate performance reports and analyze the results to identify performance bottlenecks and areas for improvement.
Contributions to this project are welcome! If you have suggestions for improvements, new features, or bug fixes, please feel free to open an issue or submit a pull request.