What threshold does a Datadog monitor use to trigger an alert?

In Datadog, monitors are designed to trigger alerts based on predefined conditions that are established using metrics or log data. This means that users can set specific thresholds or criteria that reflect the behavior or performance of their systems, applications, or services. When the data monitored exceeds, falls below, or behaves differently than these conditions, an alert is triggered.

For instance, you might monitor CPU usage, and if it goes above a certain percentage over a specified duration, that condition would activate the alert. This allows teams to respond to potential issues proactively, ensuring system reliability and performance.

Other options do not align with the mechanism used by Datadog monitors. While a defined time interval is important for how often the monitor evaluates the data, and specific user inputs could set parameters, the core of alerting lies in the conditions based on real-time metrics or logs. Randomly generated values are not a feasible way to establish monitoring criteria since they wouldn't reflect actual system performance or health, making it impractical for effective monitoring and alerting.