What is the default time aggregation method for a gauge in Datadog?

In Datadog, the default time aggregation method for a gauge is indeed the average. Gauges measure a value at a particular point in time and can represent metrics like temperature, utilization, or current active sessions. When aggregating gauge data over a time range, it is common to use the average to provide a normalized view of how the metric behaves over that period. This helps in understanding trends and spikes in data, as the average smooths out short-term fluctuations and noise, giving a clearer picture of the underlying performance or status.

Using average as the default aggregation method allows for better comparison over time, as it standardizes the measurement despite any variations in data points. Other aggregation methods, like maximum or minimum, might highlight extremes but do not provide the same level of insight into typical operating conditions. The sum is not applicable for gauges in the same way it is for counters, which are meant to accumulate values over time. Therefore, average is the most logical choice for a gauge's default aggregation method in Datadog.