The multispace Terraform provider implements resources to help work
with multi-workspace workflows in Terraform Cloud (or Enterprise).
The goal of the provider is to make it easy to perform cascading
creation/deletes in the proper order across a series of dependent
Terraform workspaces.
For more details on motivation, see the "why?" section.
Warning: Despite my affiliation with HashiCorp, this is NOT an official HashiCorp project and is not supported by HashiCorp. This was created on my personal time for personal use cases.
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Cascading create/destroy of multiple Terraform workspaces in dependency order.
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Automatic retry of failed plans or applies within a workspace.
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Optionally wait for a human to manually confirm a plan for one or more workspaces before continuing.
See the installation instructions on the Terraform Registry. Generally, add the mitchellh/multispace
provider to your required_providers block and run terraform init:
terraform {
required_providers {
multispace = {
source = "mitchellh/multispace"
version = "<VERSION HERE>"
}
}
}The example below cascades applies and destroys across multiple workspaces.
The recommended usage includes pairing this with the
tfe provider.
The tfe provider is used to configure your workspaces, and the
multispace provider is used to create a tree of workspaces that
are initialized together.
Note on usage: I usually only use this to manage the create/destroy lifecycle today. The steady-state modification workflow uses the standard Terraform Cloud VCS-driven workflows. This provider just helps me stand up my initial environments and subsequently tear them down.
resource "multispace_run" "root" {
# Use string workspace names here and not data sources so that
# you can define the multispace runs before the workspace even exists.
workspace = "tfc"
organization = "my-org"
}
resource "multispace_run" "physical" {
organization = "my-org"
workspace = "k8s-physical"
depends_on = [multispace_run.root]
retry = false
}
resource "multispace_run" "core" {
organization = "my-org"
workspace = "k8s-core"
depends_on = [multispace_run.physical]
}
resource "multispace_run" "dns" {
organization = "my-org"
workspace = "dns"
depends_on = [multispace_run.root]
manual_confirm = true
}
resource "multispace_run" "ingress" {
organization = "my-org"
workspace = "ingress"
depends_on = [multispace_run.core, multispace_run.dns]
}Multiple workspaces
are my recommended approach to working with Terraform. Small, focused workspaces
make Terraform runs fast, limit the blast radius, and enable easier
work separation by teams. The terraform_remote_state data source
can be used to pass outputs from one workspace to another workspace. This
enables a clean separation of responsibilities. This is also
officially recommended by Terraform.
I also use multiple workspaces as a way to model environments: dev, staging, production, etc. An environment to me is a collection of many workspaces working together to create a working environment. For example, one project of mine has the following workspaces that depend on each other to create a full environment: k8s-physical, k8s-core, dns, metrics, etc.
The problem statement is that I do not have a good way to create my workspaces, create them all at once in the right order, and then destroy them if I'm done with the environment. Without this provider, I have to manually click through the Terraform Cloud UI.
With this provider, I can now create a single Terraform module that is used
to launch a complete environment for a project, composed of multiple workspaces.
And I can destroy that entire environment with a terraform destroy, which
cascades a destroy through all the workspaces in the correct order thanks
to Terraform.
Note that Terraform Cloud does provide run triggers but this doesn't quite solve my problem: I don't generally want run triggers, I just want to mainly do what I'd describe as a "cascading apply/destroy" for creation/destruction. For steady-state modifications once an environment exists, I use the typical Terraform Cloud VCS-driven workflow (which may or may not involve run triggers at that point).
The list below has functionality I'd like to add in the future:
- Only create if there is state, otherwise, assume initialization is done. This will allow this provider to be adopted into existing workspace trees more easily.
If you wish to work on the provider, you'll first need Go installed on your machine (see Requirements above).
To compile the provider, run go install. This will build the provider and put the provider binary in the $GOPATH/bin directory.
To generate or update documentation, run go generate.
In order to run the full suite of Acceptance tests, run make testacc.
Note: Acceptance tests create real resources, and often cost money to run.
$ make testacc![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
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