| Name |
Type |
Description |
Notes |
| aggregation |
str |
Aggregation to apply on the metric for every member. |
[optional] |
| category |
str |
Category of the metric in the catalog |
[optional] |
| description |
str |
Description to be used in the catalog |
[optional] |
| formatter |
str |
|
* NUMBER: Generic number * BYTES: Number of bytes * KILO_BYTES: Number of kilobytes * MEGA_BYTES: Number of megabytes * PERCENTAGE: Percentage in scale [0,1] * PERCENTAGE_100: Percentage in scale [0,100] * PERCENTAGE_NO_CAPPING: Percentage in scale [0,1] but value could exceed 1 for example when metric is aggregated * PERCENTAGE_100_NO_CAPPING: Percentage in scale [0,100] but value could exceed 100 for example when metric is aggregated * LATENCY: Time in milliseconds, with value of 0 should not be considered a a strict 0, but considered as < 1ms * NANOS: Time in nanoseconds * MILLIS: Time in milliseconds * MICROS: Time in microseconds * SECONDS: Time in seconds * RATE: Number of occurrences per second * BYTE_RATE: Number of bytes per second * UNDEFINED: Metric value unit is not known |
| label |
str |
Label to be used in the catalog |
[optional] |
| name |
str |
Name of the metric |
[optional] |
| section |
str |
Section of the metric in the catalog |
[optional] |
| source |
str |
Name of the source metric |
[optional] |
| type |
str |
Type of entity for the source metric |
[optional] |
from instana_client.models.custom_metric import CustomMetric
# TODO update the JSON string below
json = "{}"
# create an instance of CustomMetric from a JSON string
custom_metric_instance = CustomMetric.from_json(json)
# print the JSON string representation of the object
print(CustomMetric.to_json())
# convert the object into a dict
custom_metric_dict = custom_metric_instance.to_dict()
# create an instance of CustomMetric from a dict
custom_metric_from_dict = CustomMetric.from_dict(custom_metric_dict)[Back to Model list] [Back to API list] [Back to README]