Scalability and Performance Test Methodology

Use this article to plan AIQ performance tests that define goals, load model, environment readiness, execution controls, and result interpretation before a test is run.

What changed in this article

• Kept the title but refreshed the methodology around current AIQ performance testing practices.
• Added checks for business objective, workload model, test data, environment parity, monitoring, ramp-up, duration, success criteria, and result review.
• Added guidance to separate application bottlenecks from AIQ/Test Node capacity constraints.

Validation workflow

1. Define the performance question, workload model, success criteria, and monitoring plan before building the test.
2. Validate data, environment readiness, Test Node capacity, and baseline behavior with a small run.
3. Run the planned test and review throughput, response time, errors, saturation, and evidence before making conclusions.

Review note: This page now reads as a practical methodology checklist instead of a generic performance article.

Last updated: October 2, 2026

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