@Ari Bajo (Airbyte) please, are the topics on this page still valid and available for a pick? I would like to work on one of them. https://github.com/airbytehq/write-for-the-community/issues?q=is%3Aissue+is%3Aopen+label%3A%22looking+for+author%22

@Temidayo Azeez Hi, Temidayo! They are not totally up to date... The current process is to apply to the program here: https://airbyte.com/write-for-the-community If you already applied and didn't get your application reviewed yet, you can message me directly and I will review it! :)

Hi @Ari Bajo Can I make a little inquiry? I noticed most of the recent tutorials on Airbyte are Data replication. Like replicating from postgres to bigquery. Is Airbyte really looking into tutorials along this line?

Hi, yes! We have done a lot of tutorials about moving data from A to B. But we are slowing down on that end as we have covered most popular combinations and have a good pool of writers for these kind of tutorials already.

Ok, do you have an aspect in mind you are interested in and you want new writers to look into? Or at this point, you are looking for new suggestions, usecases?

Yes, I am currently looking to onboard new writers that have experience running Airbyte on production 🙂

Hmmm.. interesting. Okay let me just clarify a bit. I haven't gone through all the previous tutorials, but if I understand what you mean by "running Airbyte in production", then you are saying none of other tutorials have included a last step where they deployed airbyte to a production environment after finishing the task, say, the data replication. Is that correct?

This is not what I mean. What I mean, I am mostly interested to chat with data engineers that are running Airbyte in production at their current job to help them share their learnings (scaling, deploying, securing, testing...) running Airbyte through a tutorial 🙂 My hypothesis is that the best content comes from experience.

Oh. Got it. Can you point me to one of these tutorials? You do have some of these written already