My e-commerce site needs a clear, data-driven picture of how many simultaneous shoppers it can comfortably handle before pages slow, carts time-out, or the platform becomes unstable. The focus is strictly on overall concurrent-user capacity rather than isolated page-speed metrics, so the engagement centres on full-journey load and stress testing from landing page through checkout. Please design and run realistic, reproducible tests—using tools such as JMeter, Locust, Gatling, k6, or an equivalent cloud-based service—to simulate traffic spikes at increasing concurrency levels. A mix of browsing, adding to cart, and completing orders must be included so we capture the heaviest live-traffic scenario. Deliverables • Test plan outlining scenarios, user flows, and ramp-up strategy • Raw results plus clear graphs for response time, error rate, and resource utilisation at each load tier • A concise report highlighting the maximum sustainable user count, the failure point, and the key bottlenecks (backend code, database, network, server specs, third-party APIs, etc.) • Actionable recommendations for scaling or optimising the stack so we can support higher traffic with confidence Provide any scripts or configuration files you create so future retesting is simple. Acceptance is based on receiving a replicable test suite and a report that pinpoints limits and next steps in plain language.