# 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 If you have feedback on this topic, contact .