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2 changes: 1 addition & 1 deletion airflow/README.md
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# Agent Check: Airflow

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<a href="https://docs.datadoghq.com/data_jobs/">Data Jobs Monitoring</a> (in Preview for Airflow) provides out-of-the-box tracing for Airflow DAG runs, helping you quickly troubleshoot problematic tasks, correlate DAG runs to logs, and understand complex pipelines with data lineage across DAGs.<br/><br/>
<a href="https://docs.datadoghq.com/data_observability/jobs_monitoring/">Data Observability: Jobs Monitoring</a> provides out-of-the-box tracing for Airflow DAG runs, helping you quickly troubleshoot problematic tasks, correlate DAG runs to logs, and understand complex pipelines with data lineage across DAGs.<br/><br/>
<strong>Note</strong>: This page covers only the documentation for collecting Airflow integration metrics and logs using the Datadog Agent.
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2 changes: 1 addition & 1 deletion spark/README.md
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# Spark Check

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<a href="https://docs.datadoghq.com/data_jobs/">Data Jobs Monitoring</a> helps you observe, troubleshoot, and cost-optimize your Spark and Databricks jobs and clusters.<br/><br/>
<a href="https://docs.datadoghq.com/data_observability/jobs_monitoring/">Data Observability: Jobs Monitoring</a> helps you observe, troubleshoot, and cost-optimize your Spark and Databricks jobs and clusters.<br/><br/>
This page only documents how to ingest Spark metrics and logs.
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