CAST AI cluster controller
The official CAST AI kubernetes cluster controller written in Go
Installation
Check our official helm charts repo https://github.com/castai/castai-helm-charts
Testing
Remote
Deploy cluster-controller to already connected remote cluster.
NOTE: Make sure your kubectl context is pointing to your remote cluster.
One time setup.
DOCKER_SECRET_TMPL_PATH=./secret-pull-script.sh ./hack/remote/setup.sh
Deploy.
API_KEY=your-api-key \
API_URL=your-api-url \
CLUSTER_ID=your-cluster-id \
./hack/remote/deploy.sh
Local
API_KEY=your-api-key \
API_URL=your-api-url \
CLUSTER_ID=your-cluster-id \
KUBECONFIG=path-to-kubeconfig \
go run .
Kind
The cluster-controller can be tested locally with a full e2e flow using kind
: Kubernetes in Docker.
Setup a kind
cluster with a local docker registry by running the ./hack/kind/run.sh
script.
Option 1. Deploy controller in Kind cluster.
- Build your local code and push it to the local registry with
./hack/kind/build.sh
. - Deploy the chart to the
kind
cluster withhelm repo add castai-helm https://castai.github.io/helm-charts helm repo update helm template cluster-controller castai-helm/castai-cluster-controller \ -f hack/kind/values.yaml \ --set apiKey="your-api-key" \ --set apiURL="your-api-url" \ --set clusterID="your-cluster-id" | kubectl apply -f - -n castai-agent
Community
Contributing
Please see the contribution guidelines.
License
Code is licensed under the Apache License 2.0. See NOTICE.md for complete details, including software and third-party licenses and permissions.