I use version-test as my working environment — I create and test a lot of data there. Once it’s ready, I need that data to exist in live. The problem is, syncing data manually between the two environments is slow, error-prone, and just not scalable.
Doing this manually across multiple data types increases the risk of missing something or breaking relationships between entries. As I scale, this becomes more and more of a bottleneck.
I’m exploring how to better manage this process — whether that’s using backend workflows, APIs, external tools, or even rethinking where the source of truth should live.
Would love to hear how others are solving this. Do you:
Work directly in live and avoid syncing?
Use a deployment pipeline of some sort?
Manage content externally and pull it in via API?
Something else entirely?
Open to all ideas — just trying to future-proof this before it becomes a mess.
Yeah, I get that approach — but in my case, I have a lot of static content across 6+ related data types that needs to be kept in sync between dev and live. I do all the setup and testing in version-test, then need that data in live once it’s ready. Manually copying each type every time is getting out of hand, especially as I scale.
I’m looking for a more reliable way to sync or deploy this data without doing it all by hand. Curious if anyone has built a system for that?
No there are tons of images, and options sets are just not an option.
I’m eyeing copilots Data API, possibly.
Setting up an API to my own bubble app that will auto save each time to live as well.
Or just strict protocols for when to copy from test to dev for these data types.
