mwaa

Terraform module to setup Managed Workflows with Apache Airflow. (Airflow as managed service by AWS)

Production Grade Terraform for Provisioning Infrastructure

AWS MWAA Quick Start With Terraform.

AWS MWAA Quick Start With Terraform (Private Web Server).

Disaster recovery solution for Amazon Managed Workflows for Apache Airflow (MWAA)

Automating Amazon CloudWatch dashboards and alarms for Amazon Managed Workflows for Apache Airflow (MWAA)

A simple AirFlow mwaa cli command utility. It can be used to pause all the DAGS for a MWAA environment

AWS Summit 2022 ASEAN --- COM203 Using IaC with Terraform to provision Big Data Platform on Amazon EMR

RCE in Amazon Managed Workflows for Apache Airflow (MWAA) service

Amazon Managed Workflows for Apache Airflow provider type for AWS CloudFormation

CDK (Python) sample on how to configure / deploy Amazon MWAA

Build modern workflows with AWS MWAA, AWS Step Functions, AWS Glue, and AWS EMR

Run dbt projects on AWS Glue (Spark Job, Interactive Session, Python Shell) and EMR (Serverless, on-EC2) from Apache Airflow. Declarative YAML routing, task-collapse, OpenLineage.

This project provides an AWS CDK construct library for creating and managing Amazon Managed Workflows for Apache Airflow (MWAA) environments.

An airflow pipeline that loads, processes, and saves data in a database.

A docker stack for working with MWAA locally

Deploy MWAA with OpenLineage data lineage tracking using AWS CDK - Airflow 3.0.6, Marquez HA

mwaacli is a command-line interface (CLI) for interacting with Amazon Managed Workflows for Apache Airflow (MWAA). It simplifies the management of MWAA environments, allows execution of Airflow CLI commands, provides quick access to the MWAA web UI, and supports the AWS MWAA Local Runner for local testing and development.

A simple datalake structure using AWS as the cloud provider and terraform as the IAC tool

Event-Driven ELT Pipeline with AWS MWAA and AWS Glue