This is a CLI tool to quickly create and manage Kubernetes clusters in Hetzner Cloud using the lightweight Kubernetes distribution k3s from Rancher.
Hetzner Cloud is an awesome cloud provider which offers a truly great service with the best performance/cost ratio in the market. With Hetzner's Cloud Controller Manager and CSI driver you can provision load balancers and persistent volumes very easily.
k3s is my favorite Kubernetes distribution now because it uses much less memory and CPU, leaving more resources to workloads. It is also super quick to deploy because it's a single binary.
Using this tool, creating a highly available k3s cluster with 3 masters for the control plane and worker nodes (with autoscaling support) takes about a couple of minutes only. This includes
- creating the infra resources (servers, private network, firewall, load balancer for the API server for HA clusters)
- deploying k3s to the nodes
- installing the Hetzner Cloud Controller Manager to provision load balancers right away
- installing the Hetzner CSI Driver to provision persistent volumes using Hetzner's block storage
- installing the Rancher System Upgrade Controller to make upgrades to a newer version of k3s easy and quick
- installing the Kubernetes Cluster Autoscaler to make the cluster autoscaling possible
See roadmap here for the features planned or in progress.
Also see this wiki page for a tutorial on how to set up a cluster with the most common setup to get you started.
All that is needed to use this tool is
- an Hetzner Cloud account
- an Hetzner Cloud token: for this you need to create a project from the cloud console, and then an API token with ** both read and write permissions** (sidebar > Security > API Tokens); you will see the token only once, so ensure you take note of it somewhere safe
- (optional) Github token: if you reach the rate limiting to query the available K3s releases
If you use these binaries please make sure to install kubectl in your PATH before using hetzner-k3s.
$ brew install janosmiko/tap/hetzner-k3s$ curl -fsSLO "https://github.com/janosmiko/hetzner-k3s/releases/latest/download/hetzner-k3s_`uname -s`_`uname -m`.tar.gz"
$ tar -zxvf "hetzner-k3s_`uname -s`_`uname -m`.tar.gz" -C /usr/local/bin/
$ rm -f "hetzner-k3s_`uname -s`_`uname -m`.tar.gz"
$ chmod +x /usr/local/bin/hetzner-k3s$ curl -fsSLO "https://github.com/janosmiko/hetzner-k3s/releases/latest/download/hetzner-k3s_`uname -s`_`uname -m`.deb"
$ sudo dpkg -i "hetzner-k3s_`uname -s`_`uname -m`.deb"
$ yum install -y "https://github.com/janosmiko/hetzner-k3s/releases/latest/download/hetzner-k3s_`uname -s`_`uname -m`.rpm"
$ curl -fsSLO "https://github.com/janosmiko/hetzner-k3s/releases/latest/download/hetzner-k3s_`uname -s`_`uname -m`.tar.gz"
$ tar -zxvf "hetzner-k3s_`uname -s`_`uname -m`.tar.gz" -C /usr/local/bin/
$ rm -f "hetzner-k3s_`uname -s`_`uname -m`.tar.gz"
$ chmod +x /usr/local/bin/hetzner-k3s
$ curl -fsSLO "https://github.com/janosmiko/hetzner-k3s/releases/latest/download/hetzner-k3s-`uname -s`-`uname -m`.tar.gz"
$ tar -zxvf "hetzner-k3s-`uname -s`-`uname -m`.tar.gz" hetzner-k3s
$ sudo mv hetzner-k3s /usr/local/bin/hetzner-k3sDownload and extract the latest binary to your PATH.
Alternatively, if you don't want to install the binary but have Docker installed, you can use a container. Run the following from inside the directory where you have the config file for the cluster (described in the next section):
docker run --rm -it \
-v ${PWD}:/cluster \
-v ${HOME}/.ssh:/tmp/.ssh \
janosmiko/hetzner-k3s:v0.1.10 \
create-cluster \
--config-file /cluster/test.yamlReplace test.yaml with the name of your config file.
The tool requires a simple configuration file in order to create/upgrade/delete clusters, in the YAML format like in the example below:
---
hetzner_token: <your token>
#github_token: <your token> # Optional
cluster_name: test
kubeconfig_path: "/cluster/kubeconfig"
k3s_version: v1.21.3+k3s1
public_ssh_key_path: "/root/.ssh/id_rsa.pub"
private_ssh_key_path: "/root/.ssh/id_rsa"
#
# Using these fields you can apply various firewall restrictions for SSH and Kubernetes API access.
# Defaults to ALLOW ANY IP address (0.0.0.0/0)
#
#ssh_allowed_networks:
# - 0.0.0.0/0
#api_allowed_networks:
# - 0.0.0.0/0
verify_host_key: false
location: nbg1
schedule_workloads_on_masters: false
masters:
instance_type: cpx21
instance_count: 3
#
# Define static worker pools
#
worker_node_pools:
- name: small
instance_type: cpx21
instance_count: 4
- name: big
instance_type: cpx31
instance_count: 2
#
# Cluster Autoscaler is automatically enabled when any autoscaling_node_pools are defined.
#
autoscaling_node_pools:
- name: small
instance_type: cx41
instance_min: 3
instance_max: 5
- name: big
instance_type: cpx51
instance_max: 10
#
# Pass additional parameters to the Cluster Autoscaler.
# https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md#what-are-the-parameters-to-ca
#
#cluster_autoscaler_args:
# - --scan-interval=2s
# - --scale-down-delay-after-add=1h0s
# - --scale-down-unneeded-time=1h0s
# - --scale-down-unready-time=10m0s
# - --scale-down-utilization-threshold=0.5
# - --ignore-daemonsets-utilization
# - --ignore-mirror-pods-utilization
# - --v=4
# Specify the version of the Cluster Autoscaler to use.
#cluster_autoscaler_version: "v1.24.1"
additional_packages:
- somepackage
post_create_commands:
- apt update
- apt upgrade -y
- apt autoremove -y
- shutdown -r now
enable_encryption: true
#
# Configure various arguments for kubernetes components
#
#kube_api_server_args:
# - arg1
# - ...
#kube_scheduler_args:
# - arg1
# - ...
#kube_controller_manager_args:
# - arg1
# - ...
#kube_cloud_controller_manager_args:
# - arg1
# - ...
#kubelet_args:
# - arg1
# - ...
#kube_proxy_args:
# - arg1
# - ...
#
# Specify if you want to use an existing network, otherwise one will be created for this cluster.
# existing_network: <network-name> or <network-id>
# This setting allows you to override the default nameservers (1.1.1.1 and 1.0.0.1)
#
#default_nameservers:
# - 8.8.8.8
# - 1.1.1.1
# - 1.0.0.1
#
# Enabling this will blacklist longhorn devices in multipathd config (required for longhorn storage)
# https://longhorn.io/kb/troubleshooting-volume-with-multipath/
#
#fix_multipath: true
#
# Running the create-cluster command always overrides the default Kubernetes Storage Class to hcloud-volume.
# By disabling this setting you can disable this behaviour leaving the default Kubernetes Storage Class as it is.
#
#hcloud_volume_is_default_storage_class: false
#
# Hcloud CSI Controller Deployment is scheduled on workers by default. If you enable this setting, the deployment will
# be upgraded to run on
#
#schedule_csi_controller_on_master: false
#It should hopefully be self-explanatory; you can run hetzner-k3s releases to see a list of the available releases from
the most recent to the oldest available. You can also filter the list using hetzner-k3s releases --filter v1.24 and
fetch the latest tag using hetzner-k3s releases --latest (be careful: this can show release candidate releases too).
You can also combine them eg: hetzner-k3s releases --filter v1.21 --latest.
If you are using Docker, then set kubeconfig_path to /cluster/kubeconfig so that the kubeconfig is created in the
same directory where your config file is. Also set the config file path to /cluster/<filename>.
If you don't want to specify the Hetzner token in the config file (for example if you want to use the tool with CI),
then you can use the HCLOUD_TOKEN environment variable instead, which has predecence. This also works for any possible
configuration variable.
Important: The tool assignes the label cluster to each server it creates, with the cluster name you specify in the
config file, as the value. So please ensure you don't create unrelated servers in the same project having
the label cluster=<cluster name>, because otherwise they will be deleted if you delete the cluster. I recommend you
create a separate Hetzner project for each cluster, see note at the end of this README for more details.
The Servers which are created by the Cluster Autoscaler use a different label hcloud/node-group.
If you set masters.instance_count to 1 then the tool will create a non highly available control plane; for production
clusters you may want to set it to a number greater than 1. This number must be odd to avoid split brain issues with
etcd and the recommended number is 3.
You can specify any number of worker node pools for example to have mixed nodes with different specs for different workloads.
At the moment Hetzner Cloud has four locations: two in Germany (nbg1, Nuremberg and fsn1, Falkenstein), one in
Finland (hel1, Helsinki) and two in the USA (ash, Ashburn, Virginia and hil, Hillsboro, Oregon). Please note that the Ashburn, Virginia
location has just been announced and it's limited to AMD instances for now.
For the available instance types and their specs, either check from inside a project when adding a server manually or run the following with your Hetzner token:
curl \
-H "Authorization: Bearer $API_TOKEN" \
'https://api.hetzner.cloud/v1/server_types'By default, the image in use is Ubuntu 20.04, but you can specify an image to use with the image config option. This
makes it also possible to use a snapshot that you have already created from and existing server (for example to
preinstall some tools). If you want to use a custom snapshot you'll need to specify the ID of the snapshot/image,
not the description you gave when you created the template server. To find the ID of your custom image/snapshot, run:
curl \
-H "Authorization: Bearer $API_TOKEN" \
'https://api.hetzner.cloud/v1/images'Notes:
- if you use a custom image, the creation of the servers may take longer than when using the default image
- the option
verify_host_keyis by default set tofalseto disable host key verification. This is because sometimes when creating new servers, Hetzner may assign IP addresses that were previously used by other servers you owned in the past. Therefore the host key verification would fail. If you set this option totrueand this happens, the tool won't be able to continue creating the cluster until you resolve the issue with one of the suggestions it will give you - the setting
api_allowed_networksallows specifying which networks can access the Kubernetes API, but this only works with single master clusters currently. Multi-master HA clusters require a load balancer for the API, but load balancers are not yet covered by Hetzner's firewalls.
Finally, to create the cluster run:
hetzner-k3s create-cluster --config-file cluster_config.yamlThis will take a couple of minutes or less depending on the number of masters and worker nodes.
If you are creating an HA cluster and see the following in the output you can safely ignore it - it happens when additional masters are joining the first one:
Job for k3s.service failed because the control process exited with error code.
See "systemctl status k3s.service" and "journalctl -xe" for details.
The create-cluster command can be run any number of times with the same configuration without causing any issue, since
the process is idempotent. This means that if for some reason the create process gets stuck or throws errors (for
example if the Hetzner API is unavailable or there are timeouts etc), you can just stop the current command, and re-run
it with the same configuration to continue from where it left.
To add one or more nodes to a node pool, just change the instance count in the configuration file for that node pool and re-run the create command.
To make a node pool smaller:
- decrease the instance count for the node pool in the configuration file so that those extra nodes are not recreated in the future
- delete the nodes from Kubernetes (
kubectl delete node <name>) - delete the instances from the cloud console (make sure you delete the correct ones :p)
In a future relese I will add some automation for the cleanup.
- delete the node from Kubernetes (
kubectl delete node <name>) - delete the correct instance from the cloud console
- re-run the create script. This will re-create the missing node and have it join to the cluster
It's easy to convert a non-HA with a single master cluster to HA with multiple masters. Just change the masters instance count and re-run the create command. This will create a load balancer for the API server and update the kubeconfig so that all the API requests go through the load balancer.
If it's the first time you upgrade the cluster, all you need to do to upgrade it to a newer version of k3s is run the following command:
hetzner-k3s upgrade-cluster --config-file cluster_config.yamlSo you just need to specify the new k3s version as an additional parameter and the configuration file will be updated
with the new version automatically during the upgrade. To see the list of available k3s releases run the
command hetzner-k3s releases.
Note that the API server will briefly be unavailable during the upgrade of the controlplane.
To check the upgrade progress, run watch kubectl get nodes -owide. You will see the masters being upgraded one per
time, followed by the worker nodes.
If the upgrade gets stuck for some reason, or it doesn't upgrade all the nodes:
- Clean up the existing upgrade plans and jobs, and restart the upgrade controller
kubectl -n system-upgrade delete job --all
kubectl -n system-upgrade delete plan --all
kubectl label node --all plan.upgrade.cattle.io/k3s-server- plan.upgrade.cattle.io/k3s-agent-
kubectl -n system-upgrade rollout restart deployment system-upgrade-controller
kubectl -n system-upgrade rollout status deployment system-upgrade-controllerI recommend running the above commands also when upgrading a cluster that has already been upgraded at least once previously, since the upgrade leaves some stuff behind that needs to be cleaned up.
- Re-run the
upgrade-clustercommand with an additional parameter.
I have noticed that sometimes I need to re-run the upgrade command a couple of times to complete an upgrade successfully. Must be some bug in the system upgrade controller but I haven't investigated further.
You can also check the logs of the system upgrade controller's pod:
kubectl -n system-upgrade \
logs -f $(kubectl -n system-upgrade get pod -l pod-template-hash -o jsonpath="{.items[0].metadata.name}")A final note about upgrades is that if for some reason the upgrade gets stuck after upgrading the masters and before upgrading the worker nodes, just cleaning up the resources as described above might not be enough. In that case also try running the following to tell the upgrade job for the workers that the masters have already been upgraded, so the upgrade can continue for the workers:
kubectl label node <master1> <master2> <master2> plan.upgrade.cattle.io/k3s-server=upgraded- consider adding a temporary node during the process if you don't have enough spare capacity in the cluster
- drain one node
- update etc
- reboot
- uncordon
- proceed with the next node
To delete a cluster, running
hetzner-k3s delete-cluster --config-file cluster_config.yamlThis will delete all the resources in the Hetzner Cloud project for the cluster being deleted.
Once the cluster is ready, you can already provision services of type LoadBalancer for your workloads (such as the Nginx ingress controller for example) thanks to the Hetzner Cloud Controller Manager that is installed automatically.
There are some annotations that you can add to your services to configure the load balancers. I personally use the following:
service:
annotations:
load-balancer.hetzner.cloud/hostname: <a valid fqdn>
load-balancer.hetzner.cloud/http-redirect-https: 'false'
load-balancer.hetzner.cloud/location: nbg1
load-balancer.hetzner.cloud/name: <lb name>
load-balancer.hetzner.cloud/uses-proxyprotocol: 'true'
load-balancer.hetzner.cloud/use-private-ip: "true"I set load-balancer.hetzner.cloud/hostname to a valid hostname that I configure (after creating the load balancer)
with the IP of the load balancer; I use this together with the
annotation load-balancer.hetzner.cloud/uses-proxyprotocol: 'true' to enable the proxy protocol. Reason: I enable the
proxy protocol on the load balancers so that my ingress controller and applications can "see" the real IP address of the
client. However when this is enabled, there is a problem where cert-manager fails
http01 challenges; you can find an explanation of why here but the easy
fix provided by some providers - including Hetzner - is to configure the load balancer so that it uses a hostname
instead of an IP. Again, read the explanation for the reason but if you care about seeing the actual IP of the client
then I recommend you use these two annotations.
The annotation load-balancer.hetzner.cloud/use-private-ip: "true" ensures that the communication between the load
balancer and the nodes happens through the private network, so we don't have to open any ports on the nodes (other than
the port 6443 for the Kubernetes API server).
The other annotations should be self explanatory. You can find a list of the available annotations here.
Once the cluster is ready you can create persistent volumes out of the box with the default storage
class hcloud-volumes, since the Hetzner CSI driver is installed automatically. This will use Hetzner's block storage (
based on Ceph so it's replicated and highly available) for your persistent volumes. Note that the minimum size of a
volume is 10Gi. If you specify a smaller size for a volume, the volume will be created with a capacity of 10Gi anyway.
I recommend that you create a separate Hetzner project for each cluster, because otherwise multiple clusters will attempt to create overlapping routes. I will make the pod cidr configurable in the future to avoid this, but I still recommend keeping clusters separated from each other. This way, if you want to delete a cluster with all the resources created for it, you can just delete the project.
Please create a PR if you want to propose any changes, or open an issue if you are having trouble with the tool - I will do my best to help if I can.
The project is available as open source under the terms of the MIT License.
Everyone interacting in the hetzner-k3s project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.
This project was inspired by the awesome project by Vito Botta.
