| Name |
Type |
Description |
Notes |
| operation |
ArithmeticOperation |
|
[optional] |
| aggregation |
str |
|
|
| cross_series_aggregation |
str |
|
[optional] |
| granularity |
int |
* If granularity is not specified an aggregated value for the selected timeframe is returned. * If granularity is specified data points are returned with the specified granularity * The granularity should not be greater than the `windowSize` (important: `windowSize` is expressed in milliseconds) * The granularity should not be set too small relative to the `windowSize` to avoid creating an excessively large number of data points (max 600) |
[optional] |
| metric |
str |
|
|
| missing_value |
float |
|
[optional] |
| regex |
bool |
|
[optional] |
| required |
bool |
When true, metric must be present with values |
[optional] |
from instana_client.models.infra_metric_configuration import InfraMetricConfiguration
# TODO update the JSON string below
json = "{}"
# create an instance of InfraMetricConfiguration from a JSON string
infra_metric_configuration_instance = InfraMetricConfiguration.from_json(json)
# print the JSON string representation of the object
print(InfraMetricConfiguration.to_json())
# convert the object into a dict
infra_metric_configuration_dict = infra_metric_configuration_instance.to_dict()
# create an instance of InfraMetricConfiguration from a dict
infra_metric_configuration_from_dict = InfraMetricConfiguration.from_dict(infra_metric_configuration_dict)[Back to Model list] [Back to API list] [Back to README]