Airflow Architecture | Key Components

Apache Airflow Architecture & Key Components

1 ️ 1️⃣Scheduler  Triggers tasks based on defined schedules and dependencies.  Monitors DAGs and queues tasks for execution.

2️⃣Executor  Handles how and where tasks are executed (e.g., Local, Celery, Kubernetes).

 Works closely with the scheduler.

3️⃣ Workers  Execute individual tasks as directed by the executor.

 Scalable depending on the execution environment.

4 ️ 4️⃣Web Server  Provides a user-friendly UI to monitor DAGs, tasks, logs, and execution status.

 Supports real-time interaction and control.

5️⃣Metadata Database  Stores DAGs, task states, schedules, and logs.  Central to Airflow's state management using SQLAlchemy ORM.

6 ️ 6️⃣DAGs (Directed Acyclic Graphs)  Define workflows using Python code.  Represent task relationships and dependencies.

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