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

Pull requests

Each pull request builds and publishes docker image for easier code review and testing. Check relevant GitHub actions.

On existing cluster enrolled to CAST AI

Deploy cluster-controller to already connected remote cluster.

NOTE: Make sure your kubectl context is pointing to your remote cluster.

Have a configured gcloud. Make sure to docker login with

gcloud auth configure-docker gcr.io

Clone https://github.com/castai/castai-helm-charts adjacent to repo root folder. It will be used by our scripts

cd <cluster-controller-parent-directory>
git clone https://github.com/castai/castai-helm-charts gh-helm-charts

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 with

  helm 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

• Twitter
• Discord

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.