Amazon Managed Workflows for Apache Airflow (MWAA) Cheat Sheet
- Amazon MWAA is a service that helps you manage and automate your data workflows using Apache Airflow.
 - Workflows are designed as Directed Acyclic Graphs (DAGs) using Python.
 
Use Cases
- Complex Data Workflows: Handles complex data processing tasks.
 - ETL Jobs: Coordinates Extract, Transform, Load (ETL) processes.
 - Machine Learning: Prepares datasets for machine learning models.
 
Key Features
- Deployment: Easy setup and operation.
 - Scaling: Automatically adjusts to match workload demands.
 - Security: Built-in measures for data protection.
 - Monitoring: Comprehensive tracking of workflows.
 - Cost-Effectiveness: Reduces operational costs due to its managed nature.
 
Security
- Network Isolation: Operates within Amazon’s Virtual Private Cloud (VPC).
 - Data Encryption: Uses AWS Key Management Service for automatic data encryption.
 
Pricing
- Environment Pricing: Billed hourly based on environment size.
 - Additional Worker Instance Pricing: Billed hourly based on task load.
 - Additional Scheduler Instance Pricing: Billed hourly based on availability.
 - Database Storage: Billed per GB-month for storage consumed.
 
Amazon Managed Workflows for Apache Airflow References:
https://aws.amazon.com/managed-workflows-for-apache-airflow/
https://aws.amazon.com/managed-workflows-for-apache-airflow/features/
https://aws.amazon.com/managed-workflows-for-apache-airflow/pricing/
											
				











