What is Apache Airflow and where does it fit in a DevOps or SRE platform?
Quick Answer
Apache Airflow is commonly used for workflow orchestration. In interviews, explain the core problem it solves, where it sits in the delivery or operations path, and how engineers use it during normal delivery and incidents.
Detailed Answer
Apache Airflow should be described from an operational point of view, not only as a product name. Start with the workload or failure mode it addresses, then explain how it integrates with surrounding systems. For Apache Airflow, strong answers cover DAG design, operators and sensors, executor types (Celery/Kubernetes/Local), scheduler and worker scaling, task retries and backfills, XComs, and connection/variable management. A production-ready answer should also mention ownership, access control, monitoring, backup or rollback behavior, and what evidence you would collect during an outage.
In a real platform team, Apache Airflow is valuable only when it is observable, repeatable, and documented. Interviewers usually look for whether you can connect the tool to incident response, change management, security, and developer experience.
Code Example
# Example discovery commands for Apache Airflow # Replace placeholders with your environment-specific CLI, endpoint, namespace, or config path. # 1. Check service or agent health # 2. Inspect logs and recent errors # 3. Verify configuration loaded by the runtime # 4. Validate dependencies, credentials, network paths, and certificates
Interview Tip
Tie Apache Airflow back to a production workflow: deployment, troubleshooting, security, reliability, or automation.