Data Engineering Podcast cover image

Putting Airflow Into Production With James Meickle - Episode 43

Data Engineering Podcast

00:00

Airflow Deployability

We have a repository that's essentially our inter structure repository. It is very cleverly called airflow tasks, because it contains of our airflow tasks. And this repository actually gets run on both staging and production. So we actualy just made the sink problem even worse. We've seen some pretty unusual behaviour there,. Therear es where the up date can succeed for the most part, but not get picked up in the web inter face fast enough. En might have to wait a few extra minutes for a gunnicorn workers to die off. The way that we're doing this right now is in place up dates on the instances through ansible. I'd make that available to all our users.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app