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Posted to issues@openwhisk.apache.org by GitBox <gi...@apache.org> on 2018/02/24 07:21:31 UTC
[GitHub] upgle opened a new pull request #3343: Support time-series DB using Kamon Tag, and optional granular metric.
upgle opened a new pull request #3343: Support time-series DB using Kamon Tag, and optional granular metric.
URL: https://github.com/apache/incubator-openwhisk/pull/3343
This PR is for supporting time-series database using Kamon Tag like OpenTSDB, Datadog.
and also added **optional** granular metric. (this metric was removed by #3284 PR)
(We need this feature for tracking activities per namespace, and already have built up enough infrastructure)
### Reference
http://opentsdb.net/docs/build/html/user_guide/writing.html
> OpenTSDB handles things a bit differently by introducing the idea of 'tags'. Each time series still has a 'metric' name, but it's much more generic, something that can be shared by many unique time series. Instead, the uniqueness comes from a combination of tag key/value pairs that allows for flexible queries with very fast aggregations.
https://docs.datadoghq.com/agent/tagging/
> Tagging is used throughout the Datadog product to make it easier to subset and query the machines and metrics that you have to monitor.
## Preview
_* It is tested on both OpenTSDB and Graphite_
### 1. OpenTSDB (Tag based)
In OpenTSDB, you can use regexable aggregation query with tag only.
### 2. Graphite (Metric name based)
In Graphite, you can use regexable aggregation query with a metric name only.
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