python-terraform VS terraform-cdk

Python terraform

Terraform is a great tool for deploying resources. If you need to call the Terraform command in the Python program for deployment, a new process needs to be created to execute the Terraform command on the system. A typical example of this is the python-terraform library. Doing so has the following problems:

I would like to provision out these environments via Terraform. I would pass in the appropriate information via TF variables and environment variables to help with the customization of the environment. Using something like Python's os.system() seems a little kludgy. python-terraform hasn't been updated in a while. I haven't used CDK for Terraform, but the one thing that I read made it seem like it's not that great or ready for prime time?

At first I tested it to deploy an OVHcloud Managed Kubernetes Service (MKS) with a Node Pool. And step by step, it worked. I even created a Pull Request (PR) in the terraform-cdk repository to add it as an example ☺️.

I'll be trying more sample app deployments with CDK and maybe even explore CDK for Terraform.

You can use CDK with other providers using https://github.com/hashicorp/terraform-cdk

In my experience, CDK is far better than Pulumi, especially if you're mostly going to be using AWS.

I, personally, prefer Crossplane Composite Functions on top of CDK8S, but had dropped CDKTF due to bloat. You can actually manage Kubernetes updates/upgrade lifecycle with Crossplane, as well.

I was going to recommend Pulumi, but looks like CDK for Terraform is still being kept up to date.

Avoid Pulumi, get directly to source and use https://github.com/hashicorp/terraform-cdk