Amazon Managed Workflows for Apache Airflow

Secure and highly available managed workflow orchestration for Apache Airflow

Deploy Apache Airflow at scale without the operational burden of managing underlying infrastructure.

Run Apache Airflow workloads in your own isolated and secure cloud environment.

Monitor environments through Amazon CloudWatch integration to reduce operating costs and engineering overhead.

Connect to AWS, cloud, or on-premises resources through Apache Airflow providers or custom plugins.

How it works

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).

Diagram showing how Amazon MWAA uses DAGs stored on Amazon S3 to orchestrate your workflow.
Getting started with Amazon Managed Workflows for Apache Airflow (MWAA) (6:48)
Why Amazon MWAA?
Amazon MWAA is a managed service for Apache Airflow that lets you use your current, familiar Apache Airflow platform to orchestrate your workflows. You gain improved scalability, availability, and security without the operational burden of managing underlying infrastructure.
Why Amazon MWAA?
Amazon MWAA is a managed service for Apache Airflow that lets you use your current, familiar Apache Airflow platform to orchestrate your workflows. You gain improved scalability, availability, and security without the operational burden of managing underlying infrastructure.

Use cases

Support complex workflows

Create scheduled or on-demand workflows that prepare and process complicated data from big data providers.

Coordinate extract, transform, and load (ETL) jobs

Orchestrate multiple ETL processes that use diverse technologies within a complex ETL workflow.

Prepare ML data

Automate your pipeline to help machine learning (ML) modeling systems ingest and then train on data.

How to get started

Explore the features

Learn about straightforward Apache Airflow deployment, automatic scaling, security, and more.

Start building with a free account

Get instant access to the AWS Free Tier.

Start using MWAA

Get started building with Amazon MWAA in the console.


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