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The multi-cluster gateway controller, leverages the gateway API standard and Open Cluster Management to provide multi-cluster connectivity and global load balancing

Key Features:

  • Central Gateway Definition that can then be distributed to multiple clusters
  • Automatic TLS and cert distribution for HTTPS based listeners
  • DNSPolicy to decide how North-South based traffic should be balanced and reach the gateways
  • Health checks to detect and take remedial action against unhealthy endpoints
  • Cloud DNS provider integrations (AWS route 53) with new ones being added (google DNS)

When deploying the multicluster gateway controller using the make targets, the following will be created: * Kind cluster(s) * Gateway API CRDs in the control plane cluster * Ingress controller * Cert manager * ArgoCD instance * K8s Dashboard * LetsEncrypt certs


  • AWS or GCP
  • Various dependencies installed into $(pwd)/bin e.g. kind, yq etc.
  • Run make dependencies
  • openssl>=3
    • On macOS a later version is available with brew install openssl. You'll need to update your PATH as macOS provides an older version via libressl as well
    • On Fedora use dnf install openssl
  • go >= 1.20

1. Running the controller in the cluster:

  1. Set up your DNS Provider by following these steps

  2. Setup your local environment


  3. Build the controller image and load it into the control plane sh kubectl config use-context kind-mgc-control-plane make kind-load-controller

  4. Deploy the controller to the control plane cluster

    make deploy-controller

  5. (Optional) View the logs of the deployed controller

    kubectl logs -f $(kubectl get pods -n multi-cluster-gateways | grep "mgc-" | awk '{print $1}') -n multi-cluster-gateways

2. Running the controller locally:

  1. Set up your DNS Provider by following these steps

  2. Setup your local environment

  3. Run the controller locally:

    kubectl config use-context kind-mgc-control-plane 
    make build-controller install run-controller

3. Running the agent in the cluster:

  1. Build the agent image and load it into the workload cluster

    kubectl config use-context kind-mgc-workload-1 
    make kind-load-agent

  2. Deploy the agent to the workload cluster

    make deploy-agent

4. Running the agent locally

  1. Target the workload cluster you wish to run on:
    export KUBECONFIG=./tmp/kubeconfigs/mgc-workload-1.kubeconfig
  2. Run the agent locally:
    make build-agent run-agent

5. Clean up local environment

In any terminal window target control plane cluster by:

kubectl config use-context kind-mgc-control-plane 
If you want to wipe everything clean consider using:
make local-cleanup # Remove kind clusters created locally and cleanup any generated local files.
If the intention is to cleanup kind cluster and prepare them for re-installation consider using:
make local-cleanup-mgc MGC_WORKLOAD_CLUSTERS_COUNT=<NUMBER_WORKLOAD_CLUSTER> # prepares clusters for make local-setup-mgc


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