Course Summary: Performance Testing Module
I. Introduction to Performance Testing
Performance testing is a methodology used to evaluate a system's behavior under various load conditions. It focuses on:
- Speed
- Responsiveness
- Stability
The primary goal is to identify bottlenecks and resource issues early in the development process.
II. Key Performance Metrics
A. Response Time
- Measures the duration between a user request and system response
- Includes minimum, maximum, and average response times
B. Throughput
- Quantifies the number of transactions processed within a specific timeframe
C. Resource Utilization
- Monitors CPU, memory, and disk usage during testing
D. Error Rate
- Tracks the frequency of failures occurring during the test
III. Performance Testing Process
- Define test objectives and metrics
- Identify realistic user scenarios
- Set up a dedicated test environment
- Execute load tests with varying user levels
- Collect and analyze performance data
IV. Performance Testing Tools
A. Load Testing Software
- Simulates user traffic and workload
B. Monitoring Tools
- Tracks resource usage during tests
C. Analytics Platforms
- Aids in result analysis and interpretation
V. Common Pitfalls and Best Practices
A. Mistakes to Avoid
- Testing in production environments
- Using unrealistic load levels
- Neglecting baseline measurements
B. Best Practices
- Use dedicated testing environments
- Simulate realistic user loads
- Establish baseline performance metrics before testing