With a consistent baseline, synthetic monitoring is good for measuring the effects of code changes on performance. However, it doesn't necessarily reflect what users are experiencing.

Synthetic Monitoring involves deploying scripts to simulate the path an end-user might take through a web application, reporting back the performance of the simulator experiences. Examples of popular synthetic monitoring tools include WebPageTest and Lighthouse . The traffic measured is not of your actual users, but rather synthetically generated traffic collecting data on page performance.

Unlike RUM , synthetic monitoring provides a narrow view of performance that doesn't account for user differences, making it useful in getting basic data about an application's performance and spot-checking performance in development environments. Combined with other tools, such as network throttling, can provide excellent insight into potential problem areas.