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https://issues.apache.org/jira/browse/AIRFLOW-2906?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17031634#comment-17031634
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ASF GitHub Bot commented on AIRFLOW-2906:
-----------------------------------------
chandulal commented on pull request #7376: [AIRFLOW-2906] Add datadog support
to send airflow metrics
URL: https://github.com/apache/airflow/pull/7376
Currently, Airflow sends metric to Datadog using statsd and you won't be
able to associated tags to metrics send by airflow.
This PR has dogstatsd (Datadog) support. After this PR, you can associate
constant tags to all metrics as well as tags specific to single metric as well.
---
Issue link:
[AIRFLOW-2906](https://issues.apache.org/jira/browse/AIRFLOW-2906)
Make sure to mark the boxes below before creating PR: [x]
- [x] Description above provides context of the change
- [x] Commit message/PR title starts with `[AIRFLOW-NNNN]`. AIRFLOW-NNNN =
JIRA ID<sup>*</sup>
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message](http://chris.beams.io/posts/git-commit/)"
- [x] Relevant documentation is updated including usage instructions.
- [x] I will engage committers as explained in [Contribution Workflow
Example](https://github.com/apache/airflow/blob/master/CONTRIBUTING.rst#contribution-workflow-example).
<sup>*</sup> For document-only changes commit message can start with
`[AIRFLOW-XXXX]`.
---
In case of fundamental code change, Airflow Improvement Proposal
([AIP](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Improvements+Proposals))
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> DataDog Integration for Airflow
> -------------------------------
>
> Key: AIRFLOW-2906
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2906
> Project: Apache Airflow
> Issue Type: Improvement
> Components: utils
> Affects Versions: 1.8.0
> Reporter: Austin Hsu
> Assignee: Chandu Kavar
> Priority: Minor
> Labels: metrics
>
> Add functionality to Airflow to enable sending of metrics to DataDog.
> DataDog provides support for tags which allows us to aggregate data more
> easily and visualize it. We can utilize the [Datadog python
> library|https://github.com/DataDog/datadogpy] python library and the [Datadog
> ThreadStats
> module|https://datadogpy.readthedocs.io/en/latest/#datadog-threadstats-module]
> to send metrics directly to DataDog without needing to spin up an agent to
> forward the metrics. The current implementation in 1.8 uses the statsd
> library to send the metrics which provides us with much less control to
> filter our data.
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