nothelm.py
terraform-hcloud-kube-hetzner
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nothelm.py | terraform-hcloud-kube-hetzner | |
---|---|---|
6 | 22 | |
20 | 1,845 | |
- | 10.1% | |
0.0 | 9.5 | |
3 months ago | 15 days ago | |
Python | HCL | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nothelm.py
- Can any Hetzner user, please explain there workflow on Hetzner?
- Docker helm
- Would a kustomize for docker-compose be useful?
- For Swarm mode users: What features do you miss/need from Kubernetes ecosystem?
- nothelm.py - write nothelm charts to deploy to swarm
- Show HN: Nothelm.py – Templating for Docker Stacks
terraform-hcloud-kube-hetzner
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Ask HN: Is there a low cost way to learn real K8s, after exhausting minikube?
Hetzner starting with https://github.com/kube-hetzner/terraform-hcloud-kube-hetzne..., plus registry using DigitalOcean.
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Home lab running on a single nuc?
However in the end my goto solution is k3s on hetzner cloud since it's got support for load balancers, ingress controllers with public IPS, persistent storage etc. It's cheaper than all the other cloud providers, although you need to run some code it doesn't have a 1 click solution. so I sold my hardware and used this https://github.com/kube-hetzner/terraform-hcloud-kube-hetzner. I run it when I need a kube cluster and kill it by deleting the project.
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Fastest way to set up an k8s environment ?
You can look at this: https://github.com/kube-hetzner/terraform-hcloud-kube-hetzner
- Kube-Hetzner: Kubernetes powered by k3s-on-MicroOS and deployed on Hetzner
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How do YOU, personally, use Jellyfin?
This whole setup is around 70euros per month, and I can enjoy usenet and torrent downloads of Linux ISOs to constantly peak at 1Gbps speed. All of this is HA with Kubernetes using this.
- "Cheap" cloud provider
- Has anyone set up autoscaling on hetzner?
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OS choices for cluster
OpenSUSE MicroOS, we use it here. Another good option would be Fedora CoreOS
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Can any Hetzner user, please explain there workflow on Hetzner?
It's not even close to major public cloud providers, but this is my setup:
* https://github.com/kube-hetzner/terraform-hcloud-kube-hetzne... (Terraform, Kubernetes bootstrap)
* Flux for CI
* nginx-ingress + Hetzner Loadbalancer (thanks to https://github.com/hetznercloud/hcloud-cloud-controller-mana...)
* Hetzner storage volumes (thanks to https://github.com/hetznercloud/csi-driver)
Kube-Hetzner supports Hetzner Cloud loadbalancers and volumes out of the box, though it also supports other components.
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The cloud backlash has begun: Why big data is pulling compute back on premises
With Hetzner VMs and k3s one could run a k8 cluster with amazingly low cost. There are even ready-made repos that make it lighting fast to deploy and easy to maintain...
https://github.com/kube-hetzner/terraform-hcloud-kube-hetzne...
Even Hetzner maintains a few repos for that:
https://github.com/orgs/hetznercloud/repositories?q=kubernet...
What are some alternatives?
awesome-hcloud - A curated list of awesome libraries, tools, and integrations for Hetzner Cloud
terraform-aws-eks-node-group - Terraform module to provision a fully managed AWS EKS Node Group
hcloud-cloud-controller-mana
horus - Free cloud native platform for service hosting
podlike - Co-located containers as Docker Swarm services (like Kubernetes pods)
terraform-aws-eks-cluster - Terraform module for provisioning an EKS cluster
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
hetzner-k3s - A CLI tool to create and manage Kubernetes clusters in Hetzner Cloud using the lightweight distribution k3s by Rancher.
swarmsible-hetzner - Companion repository for https://github.com/neuroforgede/swarmsible with a focus on usage in the Hetzner cloud
terraform-k3s-private-cloud - Private cluster with k3s. Why have 1 huge complicated cluster (pet) when you can have many simple, cheap clusters (cattle)?
terraform-hcloud-kube-hetzne
k3s-aws-terraform-cluster - Deploy an high available K3s cluster on Amazon AWS