Metrics Aggregations
This section explains how KloudMate handles common metric types and how aggregation behaves in Explore.
Supported Metric Types
Section titled “Supported Metric Types”KloudMate supports the following OpenTelemetry metric types:
- Gauge
- Sum
- Histogram
- Exponential Histogram
- Summary
Refer to the OpenTelemetry Data Model for underlying data model concepts.
Temporality
Section titled “Temporality”Both Delta and Cumulative temporalities are supported across all applicable metric types.
Aggregation in Explore
Section titled “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, Customize aggregation provides fine-grained control over how data is aggregated 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.
- 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.