Hi. I would love to see some real life examples (and the more - the better) of the use of Airbyte. Not marketing stuff, but just like simple demos "Here's the problem. Here's what we need to achieve. This is how we set up this thing, configure that and start and now look how it's working and here's how result messages look like. Now suppose we'd need to introduce this transformation to the data conveyor. Here's how we reconfigure the replication and that's how it now looks." That'd help me and others better understand Airbyte and it's possibilities. Also, the industry is so, that your problems (and thus solutions) may resonate with a lots of other people with similar problems.

Hello, i'm trying to find where does airbyte store passwords and private tokens, i searched in the web and couldn't find it, sorry if it's already there and i'm repeating the question. I would guess they are stored in one of the containers and are passed to new containers that are run in execution time through environement variables (only speculation i'm not sure) but i couldn't find where they are stored, your help would be appreciated if you can point me to where they are. Thanks !

For the cloud option, is there an agent that we can run in our network for access to sources and destinations, or does the current model require exposing everything to the Internet?

Hey, how can i have multi threading for a replication stream. From postgres to postgres. The operation is taking over 12 hours and that's too long

Is there a way to disable config/spec validation when creating sources/connections through API? Sometimes it takes too long and I assume it was validation by spinning up the connector that is taking long sometimes (if not the new pod spinup any other way to debug how/why its taking long)

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can anyone please suggest about below, I am planning to use AirByte for our team • Do we provide data delivery guarantees to the destination? • How failures are handled in both batch and streaming options(MySql for example). • Anyone wo used AirByte in Production please share their deployment and management strategy