Pulumi VS tanka

If you are following this blog series, you should already know the benefits of using Terraform to define and deploy your AWS resources and configuration. Other IaC solutions such as AWS CloudFormation, AWS CDK, and Pulumi work the same way but differs in the programming or configuration language.

Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption, which can be called microservices if you have a lot of them. And often microservices use advanced networking options such as a service mesh instead of just the native private network offered by a VPC.

funny, to me systemd == no docker, no containers, just a VM.

it's my goto way to keep my programming running and have it be restarted if the vm reboots. I use VMs like "pods". I deploy code directly to the VM and run it there along with other programs. I scale up an scale down with: https://www.pulumi.com/

Pulumi — Modern infrastructure as a code platform that allows you to use familiar programming languages and tools to build, deploy, and manage cloud infrastructure.

A move like this may have an impact in other open source projects. Take Pulumi, for instance, people might avoid choosing it now that the Linux Foundation have its own IaC tool, and for newer, smaller projects it will probably be impossible to compete with a project under the Linux name.

Another alternative to writing an operator would be to rely on kustomize or https://www.pulumi.com/.

Pulumi

Would it make sense to say Dagger is to Pulumi [1], as Terraform is to Togomak?

[1]: https://www.pulumi.com/

Infrastructure as Code (IaC): Define your infrastructure using code (IaC) to automate the provisioning of resources such as virtual machines, load balancers, and databases. Tools like Terraform, Pulumi, and AWS CloudFormation can help.

I would recommend implementing a similar API to Grafana Tanka: https://tanka.dev

When you "synthesise", the returned value should be an array or an object.

1. If it's an object, check if it has an `apiVersion` and `kind` key. If it does, yield that as a kubernetes object and do not recurse.

Maybe you'd like jsonnet: https://jsonnet.org/

I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev).

Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/

A few years ago I did a small comparison by re-implementing one of my simpler ansible playbooks: https://github.com/retzkek/ansible-dhall-jsonnet

- validation is often impractical (at least identifying exactly where the error is… I’m looking at you Helm!)

Unrelated to OP, but you can leverage Tanka to extend helm charts with functionality not provided by upstream.

https://tanka.dev/

Although jsonette might be considered more complex Tanka is a great alternative for k8s config management.

At Grafana Labs we're using jsonnet at scale, while being a powerful functional language it is also excellent for rendering JSON/YAML config. We have developed Tanka[0] to work with Kubernetes, for other purposes I can recommend this course[1] (authored by me).

[0] https://tanka.dev/

[1] https://jsonnet-libs.github.io/jsonnet-training-course/

If you're hitting the limits of Kustomize, maybe look at Tanka as well.

Yes, try Tanka.

yes. basically. and this is a path that multiple people are trying to solve. e.g. AWS CDK8s, https://tanka.dev/, etc

Compose would be awesome.

http://tanka.dev

(Note I work for Grafana Labs who fund Tanka and use it for all production config)