Airflow
Everything on SkillVeris tagged Airflow — collected across the glossary, study notes, blog, and cheat sheets.
12 resources across 2 libraries
Study Notes(11)
Airflow Best Practices
Practical guidelines for writing reliable, maintainable Airflow DAGs, covering idempotency, DAG design, dependency management, and testing.
Airflow Interview Questions
Commonly asked Apache Airflow interview questions covering core concepts, architecture, scheduling, and real-world scenario problems, with explanations.
Airflow Quick Reference
A condensed cheat sheet of essential Airflow CLI commands, common operators/sensors, scheduling syntax, and key configuration settings.
Airflow vs Prefect vs Dagster
A comparison of three popular Python workflow orchestrators, covering their core philosophies, execution models, and when to choose each.
Airflow with Docker and Kubernetes
How Airflow runs in containerized environments — Docker Compose for local development, and KubernetesExecutor / KubernetesPodOperator for isolated, scalable pr…
Installing Airflow
A practical walkthrough of the main ways to install Apache Airflow, from a local pip install to Docker Compose, and how to verify the install worked.
Monitoring and Logging
How Airflow's per-task logging works, how to configure remote logging for distributed deployments, and how to build alerting that avoids fatigue while catching…
The Airflow Architecture
How Airflow's scheduler, webserver, executor, and metadata database work together to parse, schedule, and execute your DAGs.
The Airflow UI
A guided tour of the Airflow web interface, from the DAGs list and Grid view to task logs, Connections, and Variables.
Variables and Templating
Learn how Airflow Variables provide runtime configuration and how Jinja templating lets task parameters be computed dynamically at execution time.
What Is Apache Airflow?
An introduction to Apache Airflow as a platform for programmatically authoring, scheduling, and monitoring workflows defined as code.