Running experiments on high-traffic websites poses unique challenges due to the abundance of data, which can lead to unexpected pitfalls in traditional A/B testing methods. While reaching statistical significance quickly might seem advantageous, it can result in false positives and misinterpretation of minor effect sizes that have no real business impact. The infrastructure must support massive user loads without degrading performance, and issues like sample ratio mismatch can quickly invalidate results if not detected. To conduct successful high-traffic experiments, teams need to adopt tailored strategies, such as setting minimum detectable effect thresholds, optimizing infrastructure for performance, and implementing automated risk mitigation measures like circuit breakers and kill switches. LaunchDarkly offers solutions for high-traffic experimentation by integrating experimentation into development workflows, allowing for real-time monitoring, progressive rollouts, and instant rollbacks, ensuring that both engineering and product teams can derive actionable insights without compromising user experience or business outcomes.