potiuk commented on issue #8743:
URL: https://github.com/apache/airflow/issues/8743#issuecomment-1130077614

   > airflow metrics are the actual example that DataDog uses
   
   Nice.
   
   Also I think the right solution to that is to add open-telemetry support 
rather than extend Airflow's DataDog StatsD integration. We have a nice AIP 
(Airflow Improvement Proposal): 
https://cwiki.apache.org/confluence/display/AIRFLOW/AIP-49+OpenTelemetry+Support+for+Apache+Airflow
   and discussion 
https://lists.apache.org/thread/1sdz7mx8j495h5vddngrwpxbx03p04z6  where any 
comments are welcome. The proposal there covers much more comprehensive 
approach for the Open-Telemetry integration and I think we should rather focus 
on makitng it happen rather than changing our DataDog or StatsD integration. 
   
   DataDog already support OTel integration and once we implement OTel in 
Airlfow, not only you will be able to plugin the metrics but also all other 
telemetry data including detailed metrics of Airflow internals, Traces that 
will allow you to trace task and dag execution across multiple components as 
well as (in the future) logging. And not only with Datadog but with all the 
other telemetry services.
   


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