An Approach Of Scaling Airflow To A Corporate Level

Sat 15 Jul 2017 by Tianlong Song Tags Big Data

The last post on Airflow provides step-by-step instructions on how to build an Airflow cluster from scratch. It could serve the development purpose well, but lacks critical features to work in prod, e.g., CI/CD compliance, resource monitoring, service recovery, and so on.

I have been leading the efforts to build the Airflow backbone at Zillow's Data Science and Engineering (DSE) team, and I would like to introduce a post from Zillow's tech blog site. It describes how Airflow is adopted and working at Zillow, and can possibly give you an idea on how Airflow can be configured to run in a corporate level.


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