The Dashboard displays the following standard metrics for all pipelines:
Numbers of pipelines, triggers and functions
: Total triggers, Total functions, and Total pipelines. These numbers reflect all DataEngine resources on the tenant for which you have read permission.
System-wide Overview: Functions Performance and Trends:
Total Events and Failures. This shows total events and failures in recent minutes. For example, if a deployed pipeline calls a schedule trigger that is scheduled to generate an event every five minutes, those events would appear on the graph at five minute intervals.
Function Invocation Duration. This shows the average duration aggregated across all running functions.
Top 10 pipeline graphs:
Active Pipelines.
Failing Pipelines
Slowest Pipelines
Custom Metrics. Here you can add up to 10 custom metrics reports. This enables you to create reports that visualize custom metrics, which your function code can collect, as well as metrics emitted automatically by the runtime.
Creating a Custom Metrics Report
Once a pipeline has been deployed and events have flowed, metrics emitted by the runtime are discovered. These metrics are available to you to visualize in custom metrics reports.
There are several aggregation methods to choose from, depending on which metrics you visualize in your report.
On the Dashboard, click Add Custom Metrics.
Configure the following settings:
Title
A title for the report.
Subtitle
An optional subtitle for the report.
Aggregation
Select an aggregation method from the dropdown.
Timeframe
Select the timeframe to show in the report.
Pipeline
Select a pipeline if you want to restrict the report to a specific pipeline.
Function
Select a function if you want to restrict the report to a specific function.
Under Available Metrics, select the metrics you want to display in the report.
All metrics available for the selected pipelines and functions are shown.
The scope column distinguishes between custom metrics from function code. (scope=User) and platform automatic metrics (scope=Runtime).
You can select multiple metrics. All metrics that you select must be of the same type.
As soon as you select one metric, the type is displayed as Selected Metric Type above the Available Metrics table, for convenience.
Note the compatibility of aggregation methods to metrics:
Metric Type
Supported Aggregations
Semantics/Temporality
Countersum, avg, min, max
DELTA temporality: interval event counts
Histogramavg, sum, min, max, p50, p95, p99
DELTA temporality: distribution data + percentiles
Gaugeavg, min, max
No temporality: point-in-time readings (no sum - can't add snapshots)
UpDownCounteravg, min, max
CUMULATIVE temporality: state values (no sum - can't add states)
Under Metrics View Mode, select a view mode:
Individual metrics. This option shows you a graph of each metric in a separate chart in the report.
Individual metrics grouped by object type. This option shows you graphs of each metric for all pipelines or all functions on one chart per metric.
Combined comparison metrics. This option shows you graphs of all of the selected metrics superimposed on one chart.
When you have selected a view mode, you can click the Preview button to see a preview of the report.
When you are happy with your selections, click Add Metrics.
The report you created appears on the Dashboard under Custom Metrics.
Removing a Custom Report from the Dashboard
To remove a custom report from the Dashboard, click 
and select Remove from dashboard.
Deleting a Custom Report
To delete a custom report, click and select Delete report.