1 link tagged with all of: workflow orchestration + amazon mwaa + apache airflow
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Amazon MWAA runs Airflow pipelines on AWS as a managed service with serverless or provisioned deployment options. It handles infrastructure provisioning, scaling, security, and integrates with SageMaker for end-to-end ML and data workflows.
- MWAA now offers two deployment modes: serverless (pay-per-execution, auto-scaling) and provisioned (full config control with AWS-managed infrastructure)
- It integrates directly with the next-gen SageMaker Unified Studio, letting Airflow run alongside Jupyter notebooks for unified data prep, training, and inference pipelines
- Both modes run inside your VPC with end-to-end encryption and IAM controls, with serverless adding workflow-level permissions and provisioned offering environment-wide team separation