Best practices

Following best practices for performance testing with Tricentis NeoLoad helps you create reliable, maintainable tests that accurately reflect real-world usage patterns.

This guide covers essential best practices for effective performance testing.

Test design

Apply these principles when designing tests:

• Model realistic user behavior - Create User Paths that reflect actual user journeys through your application.

• Use realistic data - Test with data that matches production volume and variety.

• Include think times - Add appropriate delays between actions to simulate real user pacing.

• Handle dynamic data - Properly correlate session IDs, tokens, and other dynamic values.

Test execution

Follow these recommendations when running tests:

• Start small - Begin with a small number of users and gradually increase load.

• Use clean environments - Ensure Load Generators are free from other processes.

• Monitor resources - Watch system resources during tests to identify bottlenecks.

• Validate before scaling - Always validate User Paths with Check User Path before running full load tests.

Results analysis

Apply these practices when analyzing results:

• Focus on trends - Compare results across multiple test runs to identify patterns.

• Correlate metrics - Look at response times, throughput, and errors together.

• Identify root causes - Use monitoring data to understand why performance issues occur.

• Document findings - Create reports that clearly communicate performance issues and recommendations.