What type of information is typically included in a metric record?

A metric record typically includes measurement data concerning specific values, the time at which those measurements were taken, and associated metadata that provides context for the measurements. This includes aspects such as units of measurement, the metric name, resource identifiers, and potentially even tags that allow for better categorization and filtering of the data.

This structure is crucial for monitoring and performance analysis, as it enables teams to evaluate trends over time and assess how different parameters might influence overall system performance. By integrating time and associated metadata, users can correlate different metrics and gain deeper insights into the behavior of their systems and applications.

In contrast, logical errors do not typically fall under metric records, as they involve issues in code execution rather than measurable performance states. Real-time traffic data may be part of a broader set of monitoring information but does not encapsulate the structured way metrics are recorded. Connection statuses are generally indicative of operational states rather than the time-based measurements that metric records represent. Thus, understanding the nature of a metric record is essential for effectively leveraging monitoring tools like Dynatrace.