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Load Testing Configuration Generator

Generate comprehensive load testing configurations for popular frameworks like K6, JMeter, Artillery, Locust, and more

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How It Works

Privacy First

This load testing configuration generator processes your data entirely in your browser. No data is uploaded to any server, ensuring complete privacy and security.

Lightning Fast

Instant processing with real-time validation and error detection. No waiting, no delays - just immediate results.

Versatile Use Cases

  • Performance testing for web applications and APIs
  • Capacity planning and infrastructure sizing
  • Stress testing to find system breaking points

Mobile Friendly

Responsive design that works perfectly on all devices and screen sizes. Touch-friendly interface for mobile users.

Frequently Asked Questions

Which load testing framework should I choose?
K6 is great for API testing and CI/CD integration. JMeter offers comprehensive GUI and enterprise features. Artillery excels at microservices testing. Locust is perfect for Python teams and complex user scenarios. Choose based on your team's expertise and testing requirements.
How do I determine the right number of virtual users?
Start with your expected peak concurrent users, then test at 2x-5x that number for stress testing. Consider your system's capacity, network bandwidth, and testing environment limitations. Always start small and gradually increase load.
What metrics should I monitor during load testing?
Key metrics include response time percentiles (P95, P99), error rate, throughput (RPS), and system resources (CPU, memory, disk I/O). Set realistic thresholds based on your SLA requirements.
How do I handle authentication in load tests?
The tool generates authentication headers for Bearer tokens and API keys. For complex auth flows, you may need to customize the scripts to handle login, token refresh, and session management.
Can I use these configurations in CI/CD pipelines?
Yes! Most frameworks support headless execution. K6 and Artillery integrate well with CI/CD systems. Use the generated Docker configurations for containerized testing environments.

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