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Amazon MWAA now offers serverless deployment, eliminating operational overhead while optimizing costs. The service supports YAML and Python-based workflows, with 80+ AWS Operators. It provides isolated execution, IAM permissions, and automatic scaling with pay-per-use pricing.

Published
Oct 12, 2026
6d ago
Total Downloads
18.4K
18,428

Install

dotnet add package AWSSDK.MWAAServerless --version 4.0.101.9

No framework information available.

README

Amazon Managed Workflows for Apache Airflow Serverless provides a managed workflow orchestration platform for running Apache Airflow workflows in a serverless environment. You can use Amazon Managed Workflows for Apache Airflow Serverless to create, manage, and run data processing workflows without managing the underlying infrastructure, Airflow clusters, metadata databases, or scheduling overhead. The service provides secure multi-tenant run environments with automatic scaling, comprehensive logging, and integration with multiple Amazon Web Services services for orchestrating complex analytics workloads.

Changes from Previous Version

No structural changes between v4.0.101.8 and v4.0.101.9.

Adoption Assessment

A verified publisher signal is available. Assess fit from the package's supported frameworks, license and dependency graph rather than popularity alone.

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