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MetricsBucket

One mergeable aligned bucket that can be used for live and historical metrics.

Properties

Name Type Description Notes
key str Metric name for this bucket
dims List[str] Optional metric dimensions for this bucket [optional]
bucket_start int Unix timestamp of the inclusive bucket start boundary
bucket_seconds int Bucket duration in seconds
value float Mergeable numerator for the bucket
n int Mergeable denominator for average-like metrics [optional]

Example

from amgix_client.models.metrics_bucket import MetricsBucket

# TODO update the JSON string below
json = "{}"
# create an instance of MetricsBucket from a JSON string
metrics_bucket_instance = MetricsBucket.from_json(json)
# print the JSON string representation of the object
print(MetricsBucket.to_json())

# convert the object into a dict
metrics_bucket_dict = metrics_bucket_instance.to_dict()
# create an instance of MetricsBucket from a dict
metrics_bucket_from_dict = MetricsBucket.from_dict(metrics_bucket_dict)
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