Scaling data and AI with Managed Service for Apache Airflow

Managed Service for Apache Airflow now includes four major launches that embed AI directly into data orchestration workflows.

• •Apache Airflow 3.1 introduces decoupled architecture, native DAG versioning, managed backfills, event-driven scheduling, and Human-in-the-Loop capabilities
• •Data Engineering Agents use Gemini Cloud Assist to analyze logs, identify root causes, and suggest fixes for DAG failures
• •Orchestration pipelines use a Deployment Automation Framework with declarative YAML, enabling non-experts to build end-to-end pipelines
• •MCP Server provides agentic tooling and APIs for environment and task management

This summary was automatically generated by AI based on the original article and may not be fully accurate.