Augmented analysis

Augmented analysis uses machine learning to automatically segment a test result into time intervals based on response time, error, and throughput metrics combined with virtual user load. NeoLoad Web then explains the system behavior behind each interval with a description of what happened, such as increasing user load or rising error rates.

Instead of scanning every metric yourself, use augmented analysis to quickly find where performance changed during a long test run or when comparing behavior across versions. It automates the most time-consuming part of results analysis and surfaces patterns, anomalies, and bottlenecks faster than manual inspection. Check out Add intervals for the steps.

Interval charts

Intervals appear on the Errors and user load and Requests duration and volume. VU pattern analysis and сustom intervals appear on the first chart, and augmented analysis intervals appear on the second chart. Hover over an interval to see a tooltip with details about what's happening during that time period. To learn more about test result charts, check out Analyze results.

Interval colors

NeoLoad Web uses color-coding to help you quickly identify performance patterns generated by augmented analysis and VU pattern analysis:

• Green: Healthy system behavior.

• Red: Performance degradation.

• Blue: Neutral or baseline behavior.

Interval details

The intervals table below the charts provides details about each interval, including:

• Type: Shows whether the interval was generated by Augmented analysis, VU pattern analysis, or created as a Custom interval.

• Color indicator: Displays the interval's color for quick visual reference.

• Name: Describes system behavior, such as increasing user load, rising error rates, slower request durations, or reduced requests per second.

Use these insights to pinpoint performance regressions, validate improvements, or understand how your system behaves under different load conditions.