> reasonably large

Anyway you shouldn't have too many resources in a single Terraform workspace, for performance reasons. The real issues with Terraform come when you start to want to orchestrate different workspaces triggering each other, and trying to write that orchestration language, which itself would be declarative.

Terraform built a Stacks feature, but support is Terraform Cloud-only. OpenTofu has issues in the area that have been open for years: https://github.com/opentofu/opentofu/issues/931 https://github.com/opentofu/opentofu/issues/2860 and progress is slow, in part (IMO) because a genuine solution requires server-side evaluation (i.e. triggering applies as Kubernetes Jobs) and the open-source implementation of Terraform Enterprise/Cloud is a completely separate project with a completely different group of maintainers, Terrakube.

▲

Uvix 2 days ago | parent [-]

I'd argue the real issue with Terraform is that workspace orchestration is necessary in the first place. If they addressed the performance issues with large workspaces, then we wouldn't need to split up workspaces and Terraform could just orchestrate changes naturally.

	▲	solatic 2 days ago \| parent [-]
		The performance issues in large workspaces are due to needing to refresh status on all the resources in the large workspace before coming up with a plan. Actual apply time is either negligible or the inherently long amount of time it's supposed to take. You split the workspace into smaller workspaces precisely to tell Terraform that you haven't made any changes to the networking layer, so don't bother trying to refresh the status of the networking layer to see if any changes are needed, it's not relevant when you're trying to scale up your Kubernetes cluster or whatever.