Integrate Managed Workflows for Apache Airflow (MWAA) with RunMyJobs
Authored by
Redwood Software
Trigger, monitor and manage Amazon MWAA Airflow DAG runs directly from RunMyJobs process chains to bring your AWS data pipelines into one enterprise automation strategy without custom scripts or Lambda workarounds.
Overview
Rely on Amazon Managed Workflows for Apache Airflow (MWAA) to run data pipelines at scale and coordinate ETL workflows, machine learning pipelines and data lake ingestion across AWS services.
Bring those data pipelines into your centrally governed automation environment with the AWS MWAA connector for RunMyJobs by Redwood that surfaces DAG run IDs and Airflow UI links directly in your execution log.
Move existing AWS data workloads into that same governance layer instead of rebuilding them, using the connector’s import tooling to carry your DAGs over as ready-to-run job definitions.
Key features
- Trigger MWAA DAG runs directly from RunMyJobs process chains
- Monitor DAG execution status and gate downstream jobs on pipeline completion
- Bulk-import MWAA DAGs as job definitions
- Use the AWS MWAA connector to authenticate via IAM access key, assume-role or instance profile
Integration type
Use Cases
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Published to the Catalog
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