pulumi-tf-provider-boilerplate VS mazzle

I'm interested in how to take existing high-quality Terraform Providers and convert them into Pulumi providers. Can you discuss the future roadmap for this project and any others around this effort.

The documentation on https://github.com/pulumi/pulumi-tf-provider-boilerplate would benefit from more examples and further explanation. I had to reverse engineer the pulumi-aws provider to be able to wrap an existing TF provider.

> If Pulumi didn't bless it, it doesn't exist in Pulumi's world.

That has not been my experience. I have personally ported a Sentry TF provider into Pulumi, and I will grant you that their docs and examples are bordering on active user hatred for exercising the process, but it does work:

https://github.com/pulumi/pulumi-terraform-bridge#adapting-a...

https://github.com/pulumi/pulumi-tf-provider-boilerplate#rea...

What mystifies me about that situation is that I do actually appreciate the amount of silliness that is required to avoid using Pulumi cloud: they are not financially incentivized to make that easy, but I'd guess a lot more folks would nope right out if they didn't make it possible

However, I would think they'd want to make ingesting a TF provider into Pulumi as smooth and reliable as possible, so they don't have people close their browser tab when they don't find a supported provider for Pulumi but it exists in TF

I've been experimenting with alternative pipeline syntaxes.

One example is using Graphviz graph files as an execution plan for software deployments. You can see a graph here:

https://github.com/samsquire/mazzle/blob/master/docs/archite...

I wrote code with networkx to parse this graph dot file and then follow the plan topologically, spinning up packer, terraform, bash scripts, compilation and so on. It also executes graph nodes in parallel where it can.

I talk about it here https://devops-pipeline.com/

My problem with bash pipelines is passing data along and referring to previous steps' data. You kind of need to enrich the data that goes along the pipeline.

I use Graphviz dot syntax to configure entire cloud computing environments in the order they must be built. This is pipelines as code and infrastructure as code

It's very powerful! Not every organisation can bring up an entire environment with one command.

Here is a executable diagram of a build worker cloud nodes, Kubernetes, consul, vault, Debian package server, Java app, SSH bastion, Prometheus, grafana, DNS and security groups.

https://github.com/samsquire/mazzle/blob/master/docs/archite...

The tool also parallelises the build based on the graph so packer builds can run in parallel.

https://devops-pipeline.com/

It also has a GUI but it's not ready for other people to use.

I use a tool I wrote to layer my infrastructure with layers called components and I configure it with a Graphviz file.

My tool, called mazzle (previously devops-pipeline) would run parts of the graph that can run in parallel in parallel. It can also run parts of the build on SSH workers. You bring up the workers at the beginning of the build.

Here's an example of a graph generated from graphviz file: https://github.com/samsquire/mazzle/blob/master/docs/archite...

This graph brings up a hashicorp vault server, Java application, bastion proxy etc.

here's the graphviz file: https://github.com/samsquire/mazzle-starter/blob/master/arch...

It describes the ordering of the infrastructure, the invocation of Ansible, packer, shell scripts to set up vault etc.

The idea is to be able to bring up a new environment by changing one parameter. There's a React GUI too.

https://devops-pipeline.com