The basic flow of performance benchmarking is as follows:
1. Determine test objectives and indicators: Determine the objectives of the test, such as report loading time, data refresh speed, number of concurrent users and other performance indicators.
2. Select the test environment: configure a test environment similar to the actual production environment, including hardware, operating system, network, etc.
3. Make a test plan: Make a detailed test plan, including test scenarios, use cases, data volume, test steps, etc.
4. Collect test data: Prepare the data set for testing to ensure the authenticity and diversity of the data.
5. Set up a performance baseline: Run a performance test in a stable environment to establish a performance baseline as a benchmark for subsequent test results.
6. Execute performance test: Execute performance test according to the test plan, and test each scenario and indicator separately.
7. Monitor resource consumption: Monitor resource usage during the test, including CPU, memory, disk, network, etc.
8. Collect performance data: record the test results of each test scenario, including response time, data refresh speed, number of concurrent users, etc.
9. Analyze test results: Analyze test data to identify performance bottlenecks and opportunities for optimization.
10. Generate performance report: Generate detailed performance test report, including test summary, index data, problem description, suggested optimization, etc.
11. Optimization and repeated testing: According to the analysis results, optimize performance issues and conduct multiple repeated tests to ensure performance improvement.
12. Verify that the performance goal is achieved: Ensure that the optimized system can achieve the expected performance goal.
13. Archiving and monitoring: archiving test data and reports, and setting up a monitoring mechanism to continuously monitor system performance in order to discover new performance problems.
14. Continuous improvement: Based on monitoring data and feedback, continuously optimize system performance to ensure that the system can maintain good performance under different loads.
The above process can help you perform performance benchmarking to ensure that the system can provide stable and efficient performance under various conditions.
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