Load Testing Template

This template helps you design and implement comprehensive load testing strategies to evaluate application performance under various traffic conditions and identify bottlenecks.

Sample Prompt

Create load testing for a web application:
- Simulate 1000 concurrent users with realistic user journeys
- Test API endpoints with varying request rates and payloads
- Monitor response times, throughput, and error rates
- Identify database and server resource bottlenecks
- Test auto-scaling behavior under increasing load
- Generate performance reports with actionable insights

What This Template Covers

• Load test planning with realistic user scenarios and traffic patterns
• Performance metrics including response time, throughput, and resource utilization
• Bottleneck identification in application, database, and infrastructure layers
• Scalability testing for auto-scaling and capacity planning
• Stress testing to determine system breaking points and failure modes
• Reporting and analysis of performance test results and recommendations

Best Practices

1. Define realistic test scenarios based on actual user behavior patterns
2. Start with baseline performance measurements before optimization
3. Test in production-like environments with similar data volumes
4. Monitor system resources including CPU, memory, and network usage
5. Use gradual load increases to identify performance degradation points
6. Test different traffic patterns including peak loads and sustained usage
7. Include negative testing for error handling under load
8. Automate load tests in CI/CD pipelines for regression detection

When to Use This Template

• Preparing applications for production deployment or traffic increases
• Validating system performance after infrastructure or code changes
• Capacity planning for hardware sizing and scaling decisions
• Identifying performance bottlenecks before they impact users
• Testing system reliability and stability under sustained load

The Script

peep load-testing