The New Relic platform reports four main telemetry data types: metrics, events, logs, and traces.
This document describes the structure of our dimensional metric data, aka the Metric
data type. To learn about how to query this type of data, see Query metrics.
Metric types
The metric type determines how the data is aggregated over longer time windows. It also determines which functions you can use to query the data.
Metric types | Description | Available query functions |
---|---|---|
| Measures the number of occurrences of an event. The count should be reset to You must specify a value for The value must be a positive double. Generally, you want to take the rate of the sum:
| |
| Tracks the statistical distribution on a numeric attribute. This metric is re-aggregatable. For example, 1-minute data points from 60 minutes can be aggregated into a 1-hour data point, without degradation on accuracy. This type:
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| Represents a value that can increase or decrease with time. Examples of gauges include the temperature, CPU usage, and memory. For example, there is always a temperature, but you are periodically taking the temperature and reporting it. The value must fit into the range of a Java double. |
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| Used to report pre-aggregated data, or information on aggregated discrete events. A summary includes a You must specify a value for |
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| Tracks the number of unique values on a string or numeric attribute. This metric is re-aggregatable. For example, 1-minute data points from 60 minutes can be aggregated into a 1-hour data point, without degradation on accuracy. This type is generated only via the event-to-metrics service. |
その他のヘルプ
さらに支援が必要な場合は、これらのサポートと学習リソースを確認してください:
- Explorers Hubでは、コミュニティからのサポートを受けたり、ディスカッションに参加したりすることができます。
- 当社サイトで答えを見つけて、サポートポータルの使用方法を確認してください。
- Linux、Windows、およびmacOS向けトラブルシューティングツールであるNew Relic Diagnosticsを実行してください。
- New Relicの とandドキュメント をご確認ください。