How Covestro Turns Airflow Into a Simulation Toolbox with Anja Mackenzie

The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI

Building scalable, reproducible workflows for scientific computing often requires bridging the gap between research flexibility and enterprise reliability.

In this episode, Anja MacKenzie, Expert for Cheminformatics at Covestro, explains how her team uses Airflow and Kubernetes to create a shared, self-service platform for computational chemistry.

Key Takeaways:

00:00 Introduction.

06:19 Custom scripts made sharing and reuse difficult.

09:29 Workflows are manually triggered with user traceability.

10:38 Customization supports varied compute requirements.

12:48 Persistent volumes allow tasks to share large amounts of data.

14:25 Custom operators separate logic from infrastructure.

16:43 Modified triggers connect dependent workflows.

18:36 UI plugins enable file uploads and secure access.

Resources Mentioned:

Anja MacKenzie

https://www.linkedin.com/in/anja-mackenzie/

Covestro | LinkedIn

https://www.linkedin.com/company/covestro/

Covestro | Website

https://www.covestro.com

Apache Airflow

https://airflow.apache.org/

Kubernetes

https://kubernetes.io/

Airflow KubernetesPodOperator

https://airflow.apache.org/docs/apache-airflow-providers-cncf-kubernetes/stable/operators.html

Astronomer

https://www.astronomer.io/

Airflow Academy by Marc Lamberti

https://www.udemy.com/user/lockgfg/?utm_source=adwords&utm_medium=udemyads&utm_campaign=Search_DSA_GammaCatchall_NonP_la.EN_cc.ROW-English&campaigntype=Search&portfolio=ROW-English&language=EN&product=Course&test=&audience=DSA&topic=&priority=Gamma&utm_content=deal4584&utm_term=_._ag_169801645584_._ad_700876640602_._kw__._de_c_._dm__._pl__._ti_dsa-1456167871416_._li_9061346_._pd__._&matchtype=&gad_source=1&gad_campaignid=21341313808&gbraid=0AAAAADROdO1_-I2TMcVyU8F3i1jRXJ24K&gclid=Cj0KCQjwvJHIBhCgARIsAEQnWlC1uYHIRm3y9Q8rPNSuVPNivsxogqfczpKHwhmNho2uKZYC-y0taNQaApU2EALw_wcB

Airflow Documentation

https://airflow.apache.org/docs/

Airflow Plugins

https://airflow.apache.org/docs/apache-airflow/1.10.9/plugins.html

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