go run ./cmd/kcp start
This will build and run your kcp server, and generate a kubeconfig in .kcp/data/admin.kubeconfig
you can use to connect to it:
export KUBECONFIG=.kcp/data/admin.kubeconfig
kubectl api-resources
First, be sure to define the Cluster CRD type:
kubectl apply -f config/cluster.example.dev_clusters.yaml
The Cluster Controller requires a --syncer_image
to install on new clusters.
To build this image and pass it to the Cluster Controller, you can use ko
:
go run ./cmd/cluster-controller \
--syncer_image=$(ko publish ./cmd/syncer) \
--kubeconfig=.kcp/data/admin.kubeconfig
ko publish
requires the KO_DOCKER_REPO
env var to be set to the container image registry to push the image to (e.g., KO_DOCKER_REPO=quay.io/my-user
).
Registering a physical cluster can be done by simply creating a cluster resource
that embeds a kubeconfig file.
For example, in order to register the default cluster of your default kubeconfig file, you can use the following command:
sed -e 's/^/ /' ${HOME}/.kube/config | cat contrib/examples/cluster.yaml - | kubectl apply -f -
A configured VSCode workspace is available in contrib/kcp.code-workspace
You can use the Launch kcp
configuration to start the KCP lightweight API Server in debug mode inside VSCode.
If you're using KinD, as the physical cluster you want to register inside KCP,
then you can use the Launch cluster controller
configuration to debug the cluster controller against a started KCP instance.