What is the primary outcome of matching specific patterns in Synthetic monitoring?

Matching specific patterns in Synthetic monitoring is essential for ensuring that the monitoring process aligns with predefined conditions or behaviors that you want to observe in your application. When a monitor matches a specific pattern, it indicates that the conditions necessary for executing the monitor are not met, leading to a blockage of execution. This prevents unnecessary monitoring attempts during scenarios that are not critical or could skew the results.

This mechanism is vital for maintaining the integrity of monitoring data. By blocking execution when specific patterns are matched, it helps to avoid generating false alerts or misleading performance metrics. Thus, the monitor is effectively managed to focus only on relevant and actionable data, enhancing the overall efficiency of the monitoring strategy.