Sysdig Monitor allows users to adjust the aggregation settings when graphing or creating alerts for a metric, informing how Sysdig rolls up the available data samples in order to create the chart or evaluate the alert. There are two forms of aggregation used for metrics in Sysdig: time aggregation and group aggregation.
Time aggregation is always performed before group aggregation.
Time aggregation comes into effect in two overlapping situations:
Charts can only render a limited number of data points. To look at a wide range of data, Sysdig Monitor may need to aggregate granular data into larger samples for visualization.
Sysdig Monitor rolls up historical data over time.
Sysdig retains rollups based on each aggregation type, to allow users to choose which data points to utilize when evaluating older data.
Sysdig agents collect 1-second samples and report data at 10-second resolution. The data is stored and reported every 10-second with the available aggregations (average, rate, min, max, sum) to make them available via the Sysdig Monitor UI and the API. For time series charts covering five minutes or less, data points are drawn at this 10-second resolution, and any time aggregation selections will have no effect. When an amount of time greater than five minutes is displayed, data points are drawn as an aggregate for an appropriate time interval. For example, for a chart covering one hour, each data point would reflect a one minute interval.
At time intervals of one minute and above, charts can be configured to display different aggregates for the 10-second metrics used to calculate each datapoint.
|average||The average of the retrieved metric values across the time period.|
|rate||The average value of the metric across the time period evaluated.|
|maximum||The highest value during the time period evaluated.|
|minimum||The lowest value during the time period evaluated.|
|sum||The combined sum of the metric across the time period evaluated.|
In the example images below, the
kubernetes.deployment.replicas.available metrics first uses the
average for time aggregation:
Then uses the
sum for time aggregation:
Rate and average are very similar and often provide the same result. However, the calculation of each is different.
If time aggregation is set to one minute, the agent is supposed to retrieve six samples (one every 10 seconds).
In some cases, samples may not be there, due to disconnections or other circumstances. For this example, four samples are available. If this was the case, the
averagewould be calculated by dividing by four, while the
ratewould be calculated by dividing by six.
Most metrics are sampled once for each time interval, resulting in average and rate returning the same value. However, there will be a distinction for any metrics not reported at every time interval. For example, some custom statsd metrics.
Rate is currently referred to as
timeAvgin the Sysdig Monitor API and advanced alerting language.
By default, average is used when displaying data points for a time interval.
Metrics applied to a group of items (for example, several containers, hosts, or nodes) are averaged between the members of the group by default. For example, three hosts report different CPU usage for one sample interval. The three values will be averaged, and reported on the chart as a single datapoint for that metric.
There are several different types of group aggregation:
|average||The average value of the interval’s samples.|
|maximum||The maximum value of the interval’s samples.|
|minimum||The minimum value of the interval’s samples.|
|sum||The combined value of all of the interval’s samples.|
If a chart or alert is segmented, the group aggregation settings will be utilized for both aggregations across the whole group, and aggregation within each individual segmentation.
For example, the image below shows a chart for CPU% across the infrastructure:
When segmented by
proc.name, the chart shows one CPU% line for each
Each line provides the average value for every process with the same name. To see the difference, change the group aggregation type to sum:
The metric aggregation value showed beside the metric name is for the
time aggregation. While the screenshot shows
AVG, the group
aggregation is set to
The tables below provide an example of how each type of aggregation works. The first table provides the metric data, while the second displays the resulting value for each type of aggregation.
In the example below, the CPU% metric is applied to a group of servers
webserver. The first chart shows metrics using average
aggregation for both time and group. The second chart shows the metrics
using maximum aggregation for both time and group.
For each one minute interval, the second chart renders the highest CPU
usage value found from the servers in the
webserver group and from all
of the samples reported during the one minute interval. This view can be
useful when searching for transient spikes in metrics over long periods
of time, that would otherwise be missed with average aggregation.
The group aggregation type is dependent on the segmentation. For a view
showing metrics for a group of items, the current group aggregation
setting will revert to the default setting, if the
selection is changed.
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