Reposting this for hopefully some traction. Trying to speed up very slow deployments, code looks like:

deployments = []
for our_flow in list_of_our_flows:
    flow_from_source = await our_flow.from_source(repo, entrypoint=entrypoint)   # Takes 2s to run
    deployments.append(await flow_from_source.to_deployment(...))                # Takes 4s to run
await prefect.deploy(*deployments, ...)

With about 100 flows/deployment combinations, that's 10 minutes of registering flows, all belonging to the same repo, and given we have a dev env before prod (ie we deploy twice), our pipeline to update a flow has broken 20minutes. Does anyone know either why making a deployment takes multiple seconds, or if theres a way of doing this differently or somehow moving the

<http://flow_from_source.to|flow_from_source.to>_deployment

into a batch? I'm also not sure on best practises here, like should I do what I found in one tutorial (to_deployment and then prefect.deploy, or just flow.deploy, or something else). Our use case is we have one repo, which contains 100 or so flows, each that have a RRule pattern on them, and we want to make one deployment per flow+schedule pair. It seems like cloning things 100 times isnt ideal, but it seems to be what the documentation suggests?

Not sure about the slowness. But its possible to have multiples schedules to the same deployment: https://github.com/PrefectHQ/prefect/issues/12092 The only thing is that this schedules must have the same parameters. For different parameter per schedule there is a open issue: https://github.com/PrefectHQ/prefect/issues/14524

hi @Samuel Hinton - would you be willing to make an issue that says roughly what you said above about the slowness?

Ah yeah we really only have one schedule per flow, we just have lots of flows