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 |
Useful links
| Link | Description |
|---|---|
| User Guidance for AirFlow | AP User guidance on using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) |
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