Apache Airflow 3.1.8 β Latest Changes
Explore the latest updates, features, and improvements in Apache Airflow 3.1.8, including crucial scheduler fixes, Task SDK advantages, and security patches.
In-depth tutorials, DAG patterns, best practices, and news for Apache Airflow and the modern data engineering ecosystem.
6 articles
Explore the latest updates, features, and improvements in Apache Airflow 3.1.8, including crucial scheduler fixes, Task SDK advantages, and security patches.
A hands-on beginner's guide to creating your first DAG in Apache Airflow. We cover the core concepts β tasks, operators, scheduling, and dependencies β with complete, runnable code.
Learn how to configure robust retry strategies in Airflow using retries, retry_delay, exponential backoff, and on_failure_callback. Includes real-world patterns for handling flaky APIs, database timeouts, and more.
A complete production guide to deploying Apache Airflow on Kubernetes. Covers the official Helm chart, KubernetesExecutor vs CeleryExecutor, resource quotas, pod templates, and GitSync DAG deployment.
Learn how to integrate Apache Airflow with dbt (data build tool) using the dbt Cloud provider and Cosmos. Covers scheduling dbt runs, handling failures, passing artifacts between runs, and best practices for the dbt + Airflow stack.
Master Airflow's Dynamic Task Mapping feature to create a variable number of task instances at runtime. Covers .expand(), .partial(), expand_kwargs(), and real-world patterns for parallel data processing.