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Amazon Managed Workflows

🌱 Amazon Managed Apache Airflow is a platform for developing, scheduling, and monitoring batch-oriented workflows

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) orchestrates your workflows using Directed Acyclic Graphs (DAGs) written in Python. You provide MWAA an Amazon Simple Storage Service (S3) bucket where your DAGs, plugins, and Python requirements reside. Then run and monitor your DAGs from the AWS Management Console, a command line interface (CLI), a software development kit (SDK), or the Apache Airflow user interface (UI).

Repositories

Repository Description
Managed Apache Airflow environments with EKS This repository defines all the infrastructure required to create an Airflow environment and EKS Cluster
Link Description
User Guidance for AirFlow AP User guidance on using Amazon Managed Workflows for Apache Airflow (Amazon MWAA)
Last reviewed: 9 December 2024Review status: ✗ Review overdueOwner: #Analytical-platform-notificationsSource: View source on GitHub

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