This bridge adapts any Terraform Provider built using the Terraform Plugin SDK for use with Pulumi. The Terraform community provides resource providers that perform create, read, update, and delete (CRUD) operations for a broad array of infrastructure providers and types. In principle, any of them can be programmed using Pulumi with this bridge.
If you want to wrap a new Terraform provider as a Pulumi provider, check out pulumi/pulumi-tf-provider-boilerplate.
Although the Terraform schema is used as a starting point, the concept of "overlays" enables customization, including classification into modules, stronger typing, better documentation, and more. Pulumi can also augment providers with non-CRUD operations like queries, metrics, and logs -- while not having to repeat all of the considerable and quality work that has already gone into building reliable CRUD operations against the major cloud providers' platforms.
Most users of Pulumi don't need to know how this bridge works. Many will find it interesting, and, if you'd like to bring up a new provider that is available in Terraform but not yet Pulumi, we would love to hear from you.
There are two major things involved in this bridge: design-time and runtime.
At design-time, we code-generate packages by dynamic inspection of a Terraform Provider's schema. This only works for providers that are built using static schemas. It is possible to write Terraform Providers without this, which means the ability to create packages would not exist, but in practice all interesting providers use it.
Second, the bridge connects the Pulumi engine to a given Terraform Provider using Pulumi's RPC interfaces. This behavior also leverages the Terraform provider schema, for operations like performing validation and diffs.
This section only matters if you want to build this bridge from scratch, or use it in your own project.
Before doing any development, there are a few prerequisites to install:
- Go: https://golang.org/dl
- GolangCI-Lint:
go get -u github.com/golangci/golangci-lint/cmd/golangci-lint
There is a Makefile in the root that builds and tests everything.
To build, ensure $GOPATH is set, and clone into a standard Go workspace:
$ git clone git@github.com:pulumi/pulumi-terraform-bridge $GOPATH/src/github.com/pulumi/pulumi-terraform-bridge
$ cd $GOPATH/src/github.com/pulumi/pulumi-terraform-bridge
Before building, you will need to ensure dependencies have been downloaded into the vendor/ directory.
$ make ensure
At this point you can run make to build and run tests:
$ make
This repo on its own isn't particularly interesting, until it is used to create a new Pulumi provider.
It is relatively easy to adapt a Terraform Provider, X, for use with Pulumi. The AWS provider offers a good blueprint for how to go about this.
You will create two Go binaries -- one purely for design-time usage to act as X's code-generator and the other for
runtime usage to serve as its dynamic resource plugin -- and link with the Terraform Provider repo and this one.
There is then typically a resources.go file that maps all of the Terraform Provider metadata available at runtime
to types and concepts that the bridge will use to generate well-typed programmatic abstractions.
The AWS provider provides a standard blueprint to follow for this. There are three major elements:
The Makefile compiles these programs, and notably, uses
the resulting pulumi-tfgen-aws binary to generate code for many different languages. The resulting generated code is
stored in the sdk directory.
An overlay is a set of additional directives that the code generator obeys when creating the final packages.
These may specify additional types, functions, or entire modules in this directory may be merged into the resulting package. This can be useful for helper modules and functions, in addition to gradual typing, such as using strongly typed enums in places where the underlying provider may only have weakly typed strings.
To do this, first add the files in the appropriate package sub-directory, and then add the requisite directives to the provider file. See the AWS overlays directory for an example of this in action.