Metrics Aggregations

this page describes the different metric types kloudmate supports and how aggregation works in the explore page supported metric types kloudmate supports the following opentelemetry metric types 	∙ gauge 	∙ sum 	∙ histogram 	∙ exponential histogram 	∙ summary refer to the https //opentelemetry io/docs/specs/otel/metrics/data model/ for underlying data model concepts temporality both delta and cumulative temporalities are supported across all applicable metric types aggregation in explore on the explore page, you can select a metric and apply a standard aggregation function (e g , avg, sum, min, max) directly from the query builder this covers most use cases out of the box for more advanced scenarios, the customize aggregation button provides fine grained control over how data is aggregated, both within and across time series when you open the advanced aggregation view, two aggregation dropdowns become available temporal aggregation aggregates data within the same time series (across time buckets) use this to control how raw data points are rolled up over the selected interval spatial aggregation aggregates data across multiple time series of the same metric use this to combine series from different label combinations into a single result