| Name |
Type |
Description |
Notes |
| category |
str |
Category of the metric |
[optional] |
| cross_series_aggregations |
List[str] |
Possible cross series aggregation the metric supports |
[optional] |
| description |
str |
Description of the metric |
[optional] |
| format |
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 |
| id |
str |
Identifier for the metric |
|
| infra_tag_category |
str |
Category of the entity |
|
| label |
str |
Label for the metric |
|
| owner_type |
str |
Type of the entity associated with the metric |
|
| tags |
List[str] |
Metric tags |
[optional] |
from instana_client.models.metric_metadata import MetricMetadata
# TODO update the JSON string below
json = "{}"
# create an instance of MetricMetadata from a JSON string
metric_metadata_instance = MetricMetadata.from_json(json)
# print the JSON string representation of the object
print(MetricMetadata.to_json())
# convert the object into a dict
metric_metadata_dict = metric_metadata_instance.to_dict()
# create an instance of MetricMetadata from a dict
metric_metadata_from_dict = MetricMetadata.from_dict(metric_metadata_dict)[Back to Model list] [Back to API list] [Back to README]