What problem does it solve? E-commerce teams often launch flash sales or major releases without knowing whether their checkout and catalog infrastructure can handle the traffic spike, leading to slow pages, failed orders, and lost revenue discovered only in production. ## Core Features & Use Cases - Realistic Shopping Scenarios: Build k6 and Artillery load tests that model actual traffic distribution (60% browse, 25% product detail, 10% cart, 5% checkout) with think time between steps. - Platform-Specific Guidance: Covers Shopify (frontend performance via PageSpeed Insights), WooCommerce (Loader.io against staging), and custom/headless stacks (k6/Artillery with ramping-arrival-rate executors). - Safe Test Practices: Enforces staging-only testing, Stripe test payment tokens, and tagged test emails for bulk cleanup of test orders. - Use Case: Before a Black Friday sale, run a k6 checkout-flow test against staging at 2x expected peak, verify p95 checkout latency stays under 3000ms, and fix database bottlenecks before real customers arrive. ## Quick Start Write a k6 load test for my staging storefront that simulates realistic browsing and checkout traffic with appropriate thresholds before our upcoming flash sale.