Load Spike Testing, commonly referred to as Spike Testing, is a specialized form of performance testing that evaluates how a system responds to sudden and extreme increases in load. Unlike traditional load testing, which gradually increases user traffic to assess performance under expected conditions, spike testing introduces abrupt surges in user activity to simulate real-world scenarios where traffic can spike unpredictably.

This testing approach is crucial for applications that may experience sudden traffic bursts due to events like product launches, promotional campaigns, or viral content. By subjecting the system to these sudden load spikes, developers can identify potential bottlenecks, assess system stability, and ensure that critical functionalities remain responsive under stress.

Key metrics monitored during spike testing include response time, throughput, error rates, and recovery time. These metrics help determine the system's resilience and its ability to return to normal operations after the spike subsides. Implementing spike testing as part of the performance testing strategy ensures that applications can maintain optimal performance and user experience, even during unexpected traffic surges.