Ark Setup Cluster

CRITICAL: Always check before creating or modifying clusters.

kubectl cluster-info 2>/dev/null
kubectl get pods -n default 2>/dev/null | head -10
kind get clusters 2>/dev/null

If a cluster is already running

Never silently destroy an existing cluster. It may have user data, demos, or in-progress work. Present options:

• Option A: Reuse existing cluster — deploy Ark into it. Fastest, but overwrites current Ark state.
• Option B: Create isolated cluster (recommended for e2e testing) — kind create cluster --name ark-e2e-test. Fully isolated, preserves existing cluster.
• Option C: Replace existing cluster — delete and recreate. Only if user explicitly confirms.

Wait for user to choose, or if called by the build manager for e2e testing, default to Option B.

Step 1: Create cluster

Default mode (existing cluster or new ark-cluster)

kind create cluster --name ark-cluster

Isolated e2e testing mode

kind create cluster --name ark-e2e-test
kubectl config use-context kind-ark-e2e-test

Configure kubeconfig (if running inside Docker/DinD)

CONTROL_PLANE_IP=$(docker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' <cluster-name>-control-plane)
kind get kubeconfig --name <cluster-name> --internal | sed "s/<cluster-name>-control-plane/$CONTROL_PLANE_IP/g" > ~/.kube/config
kubectl cluster-info

On Mac with Docker Desktop, the default kubeconfig works without IP replacement.

Step 2: Build ark-cli from source

cd agents-at-scale-ark
npm install
cd tools/ark-cli
npm install
npm run build

Step 3: Install Ark

node tools/ark-cli/dist/index.js install --yes --wait-for-ready 5m

If specific chart versions aren't published yet (e.g., on a feature branch), install components individually:

helm install ark-controller oci://mckinsey-ark-helm.jfrog.io/ark-helm/ark-controller --version <version>
helm install ark-tenant oci://mckinsey-ark-helm.jfrog.io/ark-helm/ark-tenant --version <version>
helm install ark-api oci://mckinsey-ark-helm.jfrog.io/ark-helm/ark-api --version <version>
helm install ark-dashboard oci://mckinsey-ark-helm.jfrog.io/ark-helm/ark-dashboard --version <version>

Step 4: Verify installation

kubectl get pods -n default
kubectl get services -n default

Wait until all pods show Running and Ready.

Step 5: Cleanup (e2e testing mode)

After testing is complete:

kind delete cluster --name ark-e2e-test

Restore original kubectl context if needed:

kubectl config use-context <original-context>

Troubleshooting

Docker not available

If docker info fails, Kind cannot create clusters. Report to user.

Check pod status

kubectl get pods -A -o wide | grep -E '(ark|cert-manager)'
kubectl describe pod <pod-name>

View logs

kubectl logs deployment/ark-api
kubectl logs -n ark-system deployment/ark-controller

Important

• DO NOT use scripts/quickstart.sh — deprecated. Use ark-cli.
• DO NOT use npm install -g @agents-at-scale/ark — build from source to match the branch being tested.
• CI uses K3s (Linux-only). Local Mac testing uses Kind. Generally compatible but minor differences possible.