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Explore and register for Foundation Enablement sessions for custom metrics. Learn how custom metrics help you track your application KPIs, such as the number of visitors, average customer basket size, request latency, or performance distribution for a custom algorithm.
Custom metrics help you track your application KPIs: number of visitors, average customer basket size, request latency, or performance distribution for a custom algorithm. A custom metric is identified by a unique combination of a metric’s name and tag values (including the host tag). In the example below, the metric request.Latency
has four unique tag value combinations from its two tag keys:
endpoint
, which has the value endpoint:X
or endpoint:Y
.status
, which has the value status:200
or status:400
.The following are also considered custom metrics:
Note: Users with the Datadog Admin role or usage_read
permission can see the monthly average number of custom metrics per hour and the top 5000 custom metrics for their account in the usage details page. Learn more about how custom metrics are counted.
A Datadog custom metric has the properties below. Read the metrics introduction to learn how to graph metrics within Datadog.
Property | Description |
---|---|
<METRIC_NAME> | The name of your metric. |
<METRIC_VALUE> | The value of your metric. Note: Metric values must be 32-bit. Values should not reflect dates or timestamps. |
<TIMESTAMP> | The timestamp associated with the metric value. Note: Metric timestamps cannot be more than ten minutes in the future or more than one hour in the past. |
<TAGS> | The set of tags associated with your metric. |
<METRIC_TYPE> | The type of your metric. Read about metric types. |
<INTERVAL> | If the <TYPE> of the metric is RATE or COUNT, it defines the corresponding interval. |
The following custom metric naming convention must be followed:
Note: Metric names are case sensitive in Datadog.
Set metric units through Metrics Summary or set custom metric units with the Unit override feature in the graph editor of your visualizations. For more information, see the Metrics Units documentation.
There are multiple ways to send metrics to Datadog:
You can also use one of the Datadog official and community contributed API and DogStatsD client libraries to submit your custom metrics
Note: There are no enforced fixed rate limits on custom metric submission. If your default allotment is exceeded, you are billed according to Datadog’s billing policy for custom metrics.
The following standard integrations can potentially emit custom metrics.
Type of integrations | Integrations |
---|---|
Limited to 350 custom metrics by default. | ActiveMQ XML / Go-Expvar / Java-JMX |
No default limit on custom metrics collection. | Nagios /PDH Check /OpenMetrics /Windows performance counters /WMI /Prometheus |
Can be configured to collect custom metrics. | MySQL /Oracle /Postgres /SQL Server |
Custom metrics sent from cloud integrations | AWS |
추가 유용한 문서, 링크 및 기사: