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Performance Testing Prompts

This section provides prompts designed to help you create effective performance test scenarios using AI. These prompts ensure thorough testing of system performance under various conditions.

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Basic Performance Test Generation

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Prompt Template

Generate performance test scenarios for:
[System/Feature]: [Brief description]

Performance Requirements:
- Response Time: [Target]
- Concurrent Users: [Number]
- Throughput: [Target]
- Resource Usage: [Limits]

Test Types:
1. [Test Type 1]
2. [Test Type 2]
...

Please include:
- Test Scenarios
- Test Data Requirements
- Monitoring Points
- Success Criteria
- Resource Requirements

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Example Usage

Generate performance test scenarios for:
E-commerce Checkout Process: Payment processing under load

Performance Requirements:
- Response Time: < 2 seconds
- Concurrent Users: 1000
- Throughput: 100 transactions/minute
- Resource Usage: CPU < 80%, Memory < 70%

Test Types:
1. Load Testing
2. Stress Testing
3. Endurance Testing
4. Spike Testing

Please include:
- Test Scenarios
- Test Data Requirements
- Monitoring Points
- Success Criteria
- Resource Requirements

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Advanced Performance Testing

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Load Testing Scenarios

Generate load test scenarios for:
[System/Feature]: [Description]

Focus Areas:
1. User Load
2. Data Volume
3. Transaction Rate
4. Resource Utilization
5. Response Times

Include:
- Test Scripts
- Test Data
- Monitoring Strategy
- Success Metrics
- Failure Criteria

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Stress Testing Scenarios

Generate stress test scenarios for:
[System/Feature]: [Description]

Stress Points:
1. System Limits
2. Resource Exhaustion
3. Error Handling
4. Recovery Time
5. Data Integrity

Include:
- Test Scenarios
- Monitoring Points
- Failure Criteria
- Recovery Procedures
- Analysis Methods

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Best Practices

When using these prompts:
  1. Define Clear Metrics
    • Response times
    • Throughput
    • Resource usage
    • Error rates
  2. Plan Test Data
    • Data volume
    • Data variety
    • Data distribution
    • Data cleanup
  3. Monitor Resources
    • CPU usage
    • Memory usage
    • Network usage
    • Disk I/O
  4. Document Results
    • Test conditions
    • Test results
    • Analysis
    • Recommendations

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Tips for Better Results

  1. Start with Baseline
    • Measure current performance
    • Document normal behavior
    • Set performance targets
  2. Use Appropriate Tools
    • Load testing tools
    • Monitoring tools
    • Analysis tools
    • Reporting tools
  3. Plan Test Environment
    • Hardware requirements
    • Network setup
    • Test data
    • Monitoring setup
  4. Analyze Results
    • Performance metrics
    • Bottlenecks
    • Optimization opportunities
    • Recommendations

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Common Pitfalls to Avoid

  1. Incomplete Metrics
    • ❌ “Test system performance”
    • ✅ “Test system performance with response time < 2s, throughput > 100 TPS”
  2. Poor Test Data
    • ❌ “Use test data”
    • ✅ “Use production-like data with 100,000 user profiles and 1M transactions”
  3. Missing Monitoring
    • ❌ “Run performance tests”
    • ✅ “Run performance tests with CPU, memory, network, and database monitoring”
  4. Unclear Criteria
    • ❌ “Test until it breaks”
    • ✅ “Test until response time exceeds 5s or error rate exceeds 1%“

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Example Output Structure

Performance Test Plan: E-commerce Checkout
Version: 1.0
Date: [Current Date]

1. Test Objectives
   - Performance Targets
   - Test Scope
   - Success Criteria

2. Test Scenarios
   - Load Testing
   - Stress Testing
   - Endurance Testing
   - Spike Testing

3. Test Environment
   - Hardware Setup
   - Network Configuration
   - Test Data
   - Monitoring Tools

4. Test Execution
   - Test Steps
   - Data Requirements
   - Monitoring Points
   - Duration

5. Results Analysis
   - Performance Metrics
   - Bottlenecks
   - Recommendations
   - Action Items
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