Getting Startedintermediate
Apache Airflow 3.1.8 — 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.
Prashant Singh4 min read
Structured Learning
Airflow Tutorials
A curated learning path from your first DAG to production-grade deployments on Kubernetes. Pick your level below.
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Beginner
New to Airflow? Start here. No prior orchestration experience required.
🔧Intermediate
Comfortable with DAGs? Learn production patterns and integrations.
🚀Advanced
Running Airflow in production? Go deeper on scale, security & ops.
🔧 What you'll learn — Intermediate
Dynamic task mapping (TaskFlow API)
Custom operators & hooks
XCom patterns & best practices
Pools, queues & concurrency
Airflow + dbt integration
Testing your DAGs with pytest
4 tutorials at the intermediate level
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DAG Patternsintermediate
Best Practices for Task Retries in Apache Airflow
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.
Neha Agarwal5 min read
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Airflow + dbtintermediate
Orchestrating dbt with Apache Airflow: A Complete Integration Guide
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.
Neha Agarwal6 min read
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DAG Patternsintermediate
Dynamic Task Mapping in Airflow 2.x: Scale Tasks at Runtime
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.
Prashant Singh5 min read