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Add subsystem metrics
- Adds a Metrics() class that can track data such as number of events the callback receiver inserted into database - Exposes this metric data at the api/v2/metrics/ endpoint. This data is prometheus-friendly - Metric data is stored in memory, then periodically saved to Redis. - Metric data is periodically broadcast to other nodes in the cluster, so that each node has a copy of the most recent metric data collected.
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@@ -129,6 +129,18 @@ class PrometheusJSONRenderer(renderers.JSONRenderer):
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parsed_metrics = text_string_to_metric_families(data)
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data = {}
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for family in parsed_metrics:
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data[family.name] = {}
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data[family.name]['help_text'] = family.documentation
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data[family.name]['type'] = family.type
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data[family.name]['samples'] = []
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for sample in family.samples:
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data[sample[0]] = {"labels": sample[1], "value": sample[2]}
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sample_dict = {"labels": sample[1], "value": sample[2]}
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if family.type == 'histogram':
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if sample[0].endswith("_sum"):
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sample_dict['sample_type'] = "sum"
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elif sample[0].endswith("_count"):
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sample_dict['sample_type'] = "count"
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elif sample[0].endswith("_bucket"):
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sample_dict['sample_type'] = "bucket"
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data[family.name]['samples'].append(sample_dict)
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return super(PrometheusJSONRenderer, self).render(data, accepted_media_type, renderer_context)
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