EPISODE · Apr 30, 2026 · 19 MIN
Building Airflow CTL with Buğra Öztürk at Mollie
from The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI · host Astronomer
Buğra Öztürk, Senior Data Engineer at Mollie and Committer and PMC member on the Apache Airflow project, joins us to walk through Airflow CTL — what it is, how it differs from the existing Airflow CLI and where it is headed under AIP-94.Key Takeaways:00:00 Introduction.03:10 Buğra has contributed to Airflow since 2022, from docs changes up to Committer and PMC member — a path he hopes inspires others to start small and contribute. 04:05 Airflow CTL solves secure user interaction by abstracting database credentials behind the public core API. 05:13 Airflow CLI and Airflow CTL are complementary — CLI handles administration and database management while CTL handles secure user interactions via the API. 07:08 Airflow CTL authenticates via the API, acquires a JWT token and stores it securely in the OS keyring — running on the user's machine and never requiring direct database access.08:21 Concrete use cases include local DAG development without the UI and CI/CD automation using headless mode with short-lived JWT tokens.10:08 AIP-94 describes the long-term vision — decoupling all remote commands from the Airflow CLI and routing them through Airflow CTL. 13:12 Airflow CTL is currently at 0.X and already being used in CI and deployment automations. The move to 1.0 with full CLI parity is the next milestone under AIP-94. 16:09 Multi-team deployment becoming generally available in a future Airflow release is Buğra's most-anticipated upcoming feature beyond Airflow CTL.Resources Mentioned:Buğra Öztürkhttps://www.linkedin.com/in/bugraozturk93/Molliehttps://www.linkedin.com/company/mollie/Mollie | Websitehttps://www.mollie.com/Apache Airflow CTL https://airflow.apache.org/AIP-94 on Airflow Confluencehttps://lists.apache.org/thread/d2o1pr78wxdp1wozq519stp0pkcv6k6cApache Airflow GitHubhttps://www.github.com/apache/airflowThanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.#AI #Automation #Airflow #MachineLearning
What this episode covers
Buğra Öztürk, Senior Data Engineer at Mollie and Committer and PMC member on the Apache Airflow project, joins us to walk through Airflow CTL — what it is, how it differs from the existing Airflow CLI and where it is headed under AIP-94.Key Takeaways:00:00 Introduction.03:10 Buğra has contributed to Airflow since 2022, from docs changes up to Committer and PMC member — a path he hopes inspires others to start small and contribute. 04:05 Airflow CTL solves secure user interaction by abstracting database credentials behind the public core API. 05:13 Airflow CLI and Airflow CTL are complementary — CLI handles administration and database management while CTL handles secure user interactions via the API. 07:08 Airflow CTL authenticates via the API, acquires a JWT token and stores it securely in the OS keyring — running on the user's machine and never requiring direct database access.08:21 Concrete use cases include local DAG development without the UI and CI/CD automation using headless mode with short-lived JWT tokens.10:08 AIP-94 describes the long-term vision — decoupling all remote commands from the Airflow CLI and routing them through Airflow CTL. 13:12 Airflow CTL is currently at 0.X and already being used in CI and deployment automations. The move to 1.0 with full CLI parity is the next milestone under AIP-94. 16:09 Multi-team deployment becoming generally available in a future Airflow release is Buğra's most-anticipated upcoming feature beyond Airflow CTL.Resources Mentioned:Buğra Öztürkhttps://www.linkedin.com/in/bugraozturk93/Molliehttps://www.linkedin.com/company/mollie/Mollie | Websitehttps://www.mollie.com/Apache Airflow CTL https://airflow.apache.org/AIP-94 on Airflow Confluencehttps://lists.apache.org/thread/d2o1pr78wxdp1wozq519stp0pkcv6k6cApache Airflow GitHubhttps://www.github.com/apache/airflowThanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.#AI #Automation #Airflow #MachineLearning
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Building Airflow CTL with Buğra Öztürk at Mollie
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