Which approaches are used to determine whether or not a problem should be raised?

The process of determining whether a problem should be raised typically involves evaluating performance against established benchmarks or thresholds. Built-in static thresholds are predefined limits set within an application monitoring system. When specific metrics exceed or fall below these thresholds, it acts as a signal to raise an alert about a potential issue or abnormal behavior in the application.

Static thresholds provide a clear and definitive criterion that can help in making consistent decisions regarding alerts. They allow teams to respond promptly to known performance criteria, which is particularly useful in environments where changes can happen rapidly and the potential for service degradation is high.

On the other hand, dynamic threshold analysis adjusts thresholds based on historical data and patterns, meaning that while it can provide insights into changing performance baselines, it may not be as immediately actionable as static thresholds. Randomized testing is generally more focused on assessing functionality rather than monitoring performance thresholds, and historical trend analysis, while valuable for understanding patterns over time, does not provide the immediacy needed for real-time problem detection.