terraform-aws-eks-blueprints VS kubeone

Have you checked out this repo https://github.com/aws-ia/terraform-aws-eks-blueprints

Now that you have the networking part done, you can build configurations for the EKS cluster and its add-ons. You will use the terraform-aws-modules to create the EKS cluster and eks_blueprints module from terraform-aws-eks-blueprintsto configure EKS add-ons.

## (https://github.com/aws-ia/terraform-aws-eks-blueprints) ## ... [other Terraform code] ## Cluster Configuration module "eks" { # ... [other configuration] self_managed_node_groups = { gpu_node_group = { node_group_name = "gpu-node-group" ami_type = "AL2_x86_64_GPU" capacity_type = "ON_DEMAND" instance_types = [ "g4dn.xlarge", "g4dn.2xlarge", ] # ... [other configuration] taints = { dedicated = { key = "nvidia.com/gpu" value = "true" effect = "NO_SCHEDULE" } } # ... [other configuration] } } }

Here is the link: https://github.com/aws-ia/terraform-aws-eks-blueprints/blob/main/examples/karpenter/main.tf

Anyone using eks blueprints or cloudposse's module?

Take a look at the EKS Blueprints for Terraform as a place to start. I know the team is working on their v5 release which should be a solid improvement. https://github.com/aws-ia/terraform-aws-eks-blueprints/milestone/1

Take a look at the EKS Blueprints for Terraform v5 rewrite for more details. However, EKS Blueprints for Terraform (v4 as it is today) is pretty darn good _if_ you just want to manage basic charst like load balancer controller and Karpenter. It provisions IAM Roles and Policies along with Helm charts all in one easy set-up. It's just not something I'd want to touch with more complex use cases and we'll see how the EKS Blueprints team does with the v5 rewrite - their direction looks reasonable, but Terraform just isn't really designed for the problem it's trying to solve there, so it's going to be somewhat clunky one way or another.

I would suggest KubeOne by Kubermatic, this works great on Hetzner Cloud and comes also bundled with machine deployments where you are able to autoscaler your worker nodes. Beside that it also installs additional tools like the Hetzner Cloud CSI drive and the Cloud Controller Manager. You can find at https://github.com/kubermatic/kubeone

Kubeone on Hetzner is honestly one of the smoothest non-managed experiences I've ever had with Kubernetes - better than some managed ones. Includes all of the things Hetzner already provides for Kubernetes (so I'm sure they're working on their own) - internal networking support, load balancers, volumes. And you scale worker nodes with a CRD too.

https://github.com/kubermatic/kubeone/tree/main/examples/ter...

I have a GKE cluster running and two self-setup using https://github.com/kubermatic/kubeone for over a year now. Since no one named kubeone here, I'd like to give them a shout out for their great work. Actually the clusters are managed by kubeone and running them in Hetzner cloud even costs a 10th of GKE.

kubeone currently has the best out of the box experience on Hetzner imo.

In that time thought I migrated to Hetzner Cloud and deployed a cluster using https://github.com/kubermatic/kubeone

kubermatic kubeone is open source and it can do what you need quite easily.