How to Assign vCluster to Specific Nodes Using Node Selectors
When deploying a vCluster, you might need to ensure it runs on specific nodes, such as GPU-enabled nodes or production-specific nodes. This can be achieved using node selectors, which limit the scheduling of the vCluster control plane pods to nodes with specific labels. Example Configuration To schedule your vCluster control plane on nodes labeled environment=GPU, use the following configuration in your Helm chart: controlPlane: statefulSet: scheduling: nodeSelector: environment: GPU This ensures that the vCluster control plane only runs on nodes labeled with environment=GPU. Why Use Node Selectors? Resource Optimization: Assign vCluster workloads to nodes with specific resources (e.g., GPUs). Isolation: Keep vCluster workloads separate from other applications. Environment Control: Deploy to specific environments, such as production or staging. Let’s see this in Action Step 1: Open Killercoda playground You can go to the Killercoda Kubernetes playground Step 2: Install the Vcluster CLI Command: curl -L -o vcluster "https://github.com/loft-sh/vcluster/releases/latest/download/vcluster-linux-amd64" && sudo install -c -m 0755 vcluster /usr/local/bin && rm -f vcluster Step 3: Create the demo.yaml configuration file Command: cat
When deploying a vCluster, you might need to ensure it runs on specific nodes, such as GPU-enabled nodes or production-specific nodes. This can be achieved using node selectors, which limit the scheduling of the vCluster control plane pods to nodes with specific labels.
Example Configuration
To schedule your vCluster control plane on nodes labeled environment=GPU, use the following configuration in your Helm chart:
controlPlane:
statefulSet:
scheduling:
nodeSelector:
environment: GPU
This ensures that the vCluster control plane only runs on nodes labeled with environment=GPU
.
Why Use Node Selectors?
- Resource Optimization: Assign vCluster workloads to nodes with specific resources (e.g., GPUs).
- Isolation: Keep vCluster workloads separate from other applications.
- Environment Control: Deploy to specific environments, such as production or staging.
Let’s see this in Action
Step 1: Open Killercoda playground
You can go to the Killercoda Kubernetes playground
Step 2: Install the Vcluster CLI
Command:
curl -L -o vcluster "https://github.com/loft-sh/vcluster/releases/latest/download/vcluster-linux-amd64" && sudo install -c -m 0755 vcluster /usr/local/bin && rm -f vcluster
Step 3: Create the demo.yaml configuration file
Command:
cat < demo.yaml
controlPlane:
statefulSet:
scheduling:
nodeSelector:
environment: GPU
EOF
Step 4: Label the controlplane node for Killercoda
Let’s Label the node
Command:
kubectl label node controlplane environment=GPU
Output:
Step 5: Create vCluster
Command:
vcluster create demo -f demo.yaml
Output:
Let’s Verify
Command:
kubectl config use-context kubernetes-admin@kubernetes
kubectl get pods -n vcluster-demo -owide
Output:
As you can see above, the stateful set for the vCluster created landed on the node names controlplane and this was the node where we set up the label. This is how you can assign vCluster to a specific node and if you want to do that for the pods within the vCluster too, you can follow the documentation here.