What options do we have for decommissioning a flow we no longer use? Can we archive it without deleting it? Can we do any of this via the API?

Are you on Prefect Cloud? if so, on which tier? You don't have to delete a flow, but you can simply set schedule to inactive if you no longer need it. When it comes to the flow runs, on the Standard plan the history is kept for 2 weeks so after that the history will be gone but there is no other way to decommission a flow afaik. You could also create a project called

Archive

and reregister such flows to that "archived" project - perhaps that's one way of marking a flow as decommissioned in the UI?

Thanks Anna. We are on enterprise. If we set the schedule to inactive, can’t someone still run it manually? We want to truly decommission it; no one should be able to run it, it should not get scheduled, etc.

I see, in that case I have those ideas: • a hack: setting a concurrency limit for this flow set to 0 - this will prevent from having any new flow runs of this flow • set some extra label to this flow to ensure that no agent will pick up flow runs from this flow e,g. a label "decommissioned-flow" • deleting the flow entirely - a guarantee that nobody will be able to run it

Thanks Anna! Can we use the GraphQL api to set the latest version to “archived”?

not sure I understand, it's none of the options I mentioned above 🙂 Archived version is set once you register some new version. Only when you register some new version, the previous one is marked as archived. A flow must have one non-archived version afaik.

It is not one of the options you mentioned. Are you familiar with the archiveFlow graphql mutation? I believe this will decommission the flow: it will no longer be runnable (manually or scheduled) and it will remain in the UI. Do you agree or am I misunderstanding something?

Ok, I think you’re right on that one, it seems you actually can archive a flow with no active flow versions. Just tried that mutation and it worked as you described:

mutation {
  archive_flow(input: {flow_id: "0f94bd12-87d7-4fb6-b3a1-cebb510db8d3"}) {
    success
  }
}

Awesome! Thanks so much Anna