What does Synthetic Performance Monitoring utilize?

Synthetic Performance Monitoring utilizes scripted or recorded data to simulate user interactions with applications and services. This method allows organizations to proactively assess the performance and availability of their systems without relying on actual user activity. By creating scripts that mimic user behavior, this approach can help identify performance bottlenecks, monitor application response times, and ensure that critical transactions are performing as expected.

The use of scripted or recorded data is particularly beneficial for monitoring applications in scenarios where live user traffic is insufficient for thorough testing or when certain conditions need to be tested consistently. This allows for a controlled environment to observe performance metrics, which is essential in maintaining service quality and user satisfaction.

Other options such as user session metrics, real-time user feedback, and live network traffic analysis, while valuable methods in their own right, do not represent the methodology used in Synthetic Performance Monitoring. User session metrics focus on existing user interactions, real-time feedback relies on actual user inputs, and live network traffic analysis observes ongoing data flows, but none of these entail the proactive, scripted simulation aspect that defines synthetic monitoring.