clusterctl
clusterctl
is the SIG-cluster-lifecycle sponsored tool that implements the Cluster API.
Read the experience doc here. To gain viewing permissions, please join either the kubernetes-dev or kubernetes-sig-cluster-lifecycle google group.
Getting Started
Due to the limitations described below, you must currently compile and run a clusterctl
binary
from your chosen provider implementation rather than using the binary from
this repository.
Prerequisites
- Install kind or minikube. kind is preferred.
- If you are using kind, go to step 3; If you are using minikube, install a driver for minikube. For Linux, we recommend kvm2. For MacOS, we recommend VirtualBox.
- Build the
clusterctl
tool
$ git clone https://github.com/kubernetes-sigs/cluster-api $GOPATH/src/sigs.k8s.io/cluster-api
$ cd $GOPATH/src/sigs.k8s.io/cluster-api/cmd/clusterctl/
$ go build
Limitations
clusterctl
can only use a provider that is compiled in. As provider specific code has been moved out
of this repository, running the clusterctl
binary compiled from this repository isn't particularly useful.
There is current work ongoing to rectify this issue, which centers around removing the
ProviderDeployer interface
from the clusterdeployer
package. The two tracking issues for removing the two functions in the interface are
https://github.com/kubernetes-sigs/cluster-api/issues/158 and https://github.com/kubernetes-sigs/cluster-api/issues/160.
Creating a cluster
-
Create the cluster.yaml
, machines.yaml
, provider-components.yaml
, and addons.yaml
files configured for your cluster.
See the provider specific templates and generation tools for your chosen provider implementation.
-
Create a cluster:
./clusterctl create cluster --provider <provider> --bootstrap-type <bootstrap-type> -c cluster.yaml -m machines.yaml -p provider-components.yaml -a addons.yaml
Currently two bootstrap-type
options are supported - kind
and minikube
.
If you are using minikube, to choose a specific minikube driver, please use the --bootstrap-flags vm-driver=xxx
command line parameter. For example to use the kvm2 driver with clusterctl you woud add --bootstrap-flags vm-driver=kvm2
.
Additional advanced flags can be found via help.
Also, some environment variables are supported:
CLUSTER_API_MACHINE_READY_TIMEOUT
: set this value to adjust the timeout value in minutes for a machine to become ready, The default timeout is currently 30 minutes, export CLUSTER_API_MACHINE_READY_TIMEOUT=45
will extend the timeout value to 45 minutes.
./clusterctl create cluster --help
Interacting with your cluster
If you are using kind, set the KUBECONFIG
environment variable first before using kubectl:
export KUBECONFIG="$(kind get kubeconfig-path --name="clusterapi")"
Once you have created a cluster, you can interact with the cluster and machine
resources using kubectl:
$ kubectl --kubeconfig kubeconfig get clusters
$ kubectl --kubeconfig kubeconfig get machines
$ kubectl --kubeconfig kubeconfig get machines -o yaml
Scaling your cluster
You can scale your cluster by adding additional individual Machines, or by adding a MachineSet or MachineDeployment
and changing the number of replicas.
Upgrading your cluster
NOT YET SUPPORTED!
Node repair
NOT YET SUPPORTED!
Deleting a cluster
When you are ready to remove your cluster, you can use clusterctl to delete the cluster:
./clusterctl delete cluster --kubeconfig kubeconfig
Please also check the documentation for your provider implementation
to determine if any additional steps need to be taken to completely clean up your cluster.
Contributing
If you are interested in adding to this project, see the contributing guide for information on how you can get involved.