A CLI tool to create production-ready Kubernetes clusters on Hetzner Cloud in minutes using k3s.
hetzner-k3s is a CLI tool that automates the creation of production-ready Kubernetes clusters on Hetzner Cloud. It solves the problem of complex and time-consuming cluster setup by providing a fast, simple alternative to Terraform-based approaches or managed services, using the lightweight k3s distribution. The tool handles networking, node provisioning, and essential Kubernetes component installation with a single command.
Platform engineers, DevOps practitioners, startups, and development teams who need to quickly deploy cost-efficient, self-managed Kubernetes clusters on Hetzner Cloud without dealing with Terraform complexity.
Developers choose hetzner-k3s for its exceptional speed, simplicity, and full infrastructure control. It eliminates third-party credential exposure and platform fees while delivering a production-ready stack out-of-the-box, making it a compelling open-source alternative to managed Kubernetes services.
The easiest and fastest way to create production-ready Kubernetes clusters on Hetzner Cloud
Creates a 3-node high-availability cluster in 2-3 minutes, with benchmarks showing 500-node setups in under 11 minutes, far quicker than Terraform or managed services.
Uses a single human-readable YAML file for cluster definition, eliminating the need to learn Terraform HCL or manage multiple tools, as highlighted in the simplicity section.
Your Hetzner API token never leaves your local machine, ensuring no third-party access to credentials or clusters, unlike managed services that require token sharing.
Leverages Hetzner Cloud's low-cost infrastructure and includes essential components like autoscaling and CSI drivers out-of-the-box, with sample costs showing up to 80% savings over AWS EKS.
Exclusively supports Hetzner Cloud, so migrating to another provider would require re-engineering your infrastructure, limiting multi-cloud flexibility.
Clusters over 100 nodes require manual configuration tweaks, as noted in the Recommendations documentation, adding complexity for scaling beyond typical use cases.
Maintained by a single developer, which could lead to slower issue resolution or updates, as acknowledged in the sponsorship plea and support section.
Built on k3s, which may lack some features of standard Kubernetes distributions, potentially affecting compatibility with certain workloads or tools.
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