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upgrading-mwaa-environments

aws/agent-toolk…-for-aws

Upgrades an MWAA environment to a newer Airflow version — within 2.x, within 3.x, or across the 2.x-to-3.x boundary. Computes the version-jump path, inserting the 2.11.x stepping-stone and Python-transition step when needed. Chooses an approach by whether run history and the same environment (URL/ARN) must be kept: a new-environment upgrade (blue-green), a rehearsed in-place upgrade validated on a test copy, or a direct in-place upgrade. Runs Ruff scanning and deprecation-warning log scans for 3.x moves, plus Docker validation, batched deployment, and switchover. Saves a resumable upgrade plan for multi-session work. Triggers on: upgrade MWAA, upgrade Airflow, migrate to Airflow 3, MWAA Airflow 3, Airflow 2 to 3, preserve Airflow history, keep same MWAA environment, blue-green cutover, validation environment before cutover. Not for authoring new DAGs (authoring-mwaa-workflow), debugging unrelated DAG failures (debugging-mwaa-workflow), or MWAA Serverless YAML workflows (provisioned Python DAGs only).

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安装命令

npx skills add https://github.com/aws/agent-toolkit-for-aws --skill upgrading-mwaa-environments

SKILL.md

Upgrading MWAA Environments

AWS MCP server (optional but recommended): running the AWS CLI commands in this skill through the AWS MCP server gives sandboxed execution and audit logging. Every command here also works with the plain AWS CLI, so the skill does not require the MCP server or any MCP-only tools.

Upgrade an MWAA provisioned environment to any newer, MWAA-supported Airflow version: within 2.x, within 3.x, or across the 2.x-to-3.x boundary. The target is a parameter. A path planner computes an ordered version-jump list from (source, target); the latest 2.11.x stepping-stone version and a Python-line transition step are inserted only when the path requires them. A deployment approach is selected by whether historical run data must be preserved and whether the same environment (its URL/ARN) must be kept: a new-environment upgrade (new-environment), a rehearsed in-place upgrade validated on a test copy first (in-place-rehearsed), or a direct in-place upgrade (in-place-direct).

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