docker-stack-deploy
terraform-hcloud-kube-hetzne
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| docker-stack-deploy | terraform-hcloud-kube-hetzne | |
|---|---|---|
| 6 | 4 | |
| 29 | - | |
| - | - | |
| 5.2 | - | |
| 2 months ago | - | |
| Python | ||
| MIT License | - |
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docker-stack-deploy
- Can any Hetzner user, please explain there workflow on Hetzner?
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For Swarm mode users: What features do you miss/need from Kubernetes ecosystem?
Also, it would be nice if docker secrets/configs would have a simpler rotation story. We work around this by appending the file hash to the secret/config name though: https://github.com/neuroforgede/docker-stack-deploy
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Looking to containerize a large production scale nodejs app
Yeah, but it seems dozens of users is not enough to really keep Docker Swarm up-to-date. privileged not working in Swarm (issue #1030 from 2016, again pull request #3072 from 2022), configs and secrets not update-able (workaround) and not write-able within container, I find that really annoying.
- Automatically rotate Docker Swarm secrets with Docker-sdp
- Auto-rotate Docker Swarm secrets and configs with docker-stack-deploy (docker-sdp)
- Docker-stack-deploy – Usability Wrapper around Docker stack deploy
terraform-hcloud-kube-hetzne
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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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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?
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
terraform-hcloud-kube-hetzner - Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!
docker-stack-wait - Wait for a docker stack deploy to complete
swarmsible - Ansible based Tooling and production grade example Docker Stacks. Updated with new learnings from running Docker Swarm in production
mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
nothelm.py - nothelm.py - opinionated docker stack project tool with templating support
hcloud-cloud-controller-mana
ssh-script-dashboard - An interface for executing scripts locally, or remotely over SSH
awesome-hcloud - A curated list of awesome libraries, tools, and integrations for Hetzner Cloud
nothelm-charts - nothelm.py charts (projects) for Docker Swarm
hcloud-cloud-controller-manager - Kubernetes cloud-controller-manager for Hetzner Cloud