1. **Performance Testing Tools**: Proficiency in using various performance testing tools such as JMeter LoadRunner etc. to simulate realworld scenarios and measure system performance.
2. **Scripting and Programming**: Knowledge of scripting languages such as JavaScript Python or Groovy to create and customize test scripts for performance testing tools.
3. **Performance Metrics Analysis**: Understanding of performance metrics such as response time throughput CPU and memory utilization and ability to analyze test results to identify bottlenecks and areas for optimization.
4. **System Architecture Understanding**: Familiarity with system architecture and infrastructure components such as servers databases networks and how they impact performance.
5. **Load Generation**: Experience in generating realistic loads on systems to simulate expected user traffic and stress test the application under peak load conditions.
6. **Monitoring and Profiling**: Proficiency in using monitoring and profiling tools to track system performance during testing identify performance issues and troubleshoot bottlenecks.
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