Restrict permissions to selected namespaces on Kubernetes

By default, Kong Mesh deployed on Kubernetes has permissions to observe and react to events from resources across the entire cluster. While this behavior simplifies initial setup and testing, it might be too permissive for production environments. Limiting Kong Mesh’s access to only necessary namespaces helps enhance security and prevents potential impact on unrelated applications.

This guide explains how to limit Kong Mesh to specific namespaces, giving you greater control over security and resource management.

Prerequisites

Before you begin, make sure you have the following tools installed:

• Helm – used to install and manage Kubernetes applications
• minikube – used to run a local Kubernetes cluster for testing

Start a Kubernetes cluster

Start a local Kubernetes cluster using minikube. The -p flag creates a new profile named mesh-zone:

minikube start -p mesh-zone

If you already have a running Kubernetes cluster, either locally or in the cloud (for example, EKS, GKE, or AKS), you can skip this step.

Restrict Kong Mesh to selected namespaces

This section walks through configuring Kong Mesh to limit its access to specific namespaces. You’ll deploy test workloads, verify control plane behavior, and then expand access to additional namespaces.

Install Kong Mesh which manages a single namespace

Create and label the namespace

kubectl create namespace first-namespace
kubectl label namespace first-namespace kuma.io/sidecar-injection=enabled

Install Kong Mesh restricted to the first namespace

helm upgrade \
  --install \
  --create-namespace \
  --namespace kong-mesh-system \
  --set "kuma.namespaceAllowList={first-namespace}" \
  kong-mesh kong-mesh/kong-mesh

Deploy a test workload

kubectl run nginx --image=nginx --port=80 --namespace first-namespace

Verify the first namespace is working

Check that the control plane is managing the workload:

kubectl get dataplanes --namespace first-namespace

Expected:

NAME    KUMA.IO/SERVICE             KUMA.IO/SERVICE
nginx   nginx_first-namespace_svc

Then check that the pod has the sidecar injected:

kubectl get pods --namespace first-namespace

Expected:

NAME    READY   STATUS    RESTARTS   AGE
nginx   2/2     Running   0          2m5s

Then verify the required RoleBinding:

kubectl get rolebindings --namespace first-namespace

Expected:

NAME                                ROLE                                            AGE
kong-mesh-control-plane-workloads   ClusterRole/kong-mesh-control-plane-workloads   3m46s

This confirms that:

• A Dataplane was created
• The pod includes the kuma-sidecar
• A RoleBinding named kong-mesh-control-plane-workloads grants elevated access to the control plane

Create a second namespace and check Kong Mesh doesn’t run in it

Create and label the second namespace

kubectl create namespace second-namespace
kubectl label namespace second-namespace kuma.io/sidecar-injection=enabled

Deploy the same workload in the second namespace

kubectl run nginx --image=nginx --port=80 --namespace second-namespace

Verify the second namespace is not working

Check that the control plane is not managing resources in second-namespace.

Run the following commands:

kubectl get dataplanes --namespace second-namespace

Expected output:

No resources found in second-namespace namespace.

This means no Dataplane was created.

kubectl get pods --namespace second-namespace

Expected output:

NAME    READY   STATUS    RESTARTS   AGE
nginx   1/1     Running   0          42s

This indicates the pod is running without the kuma-sidecar.

kubectl get rolebindings --namespace second-namespace

Expected output:

No resources found in second-namespace namespace.

This confirms that:

• The control plane does not have permission to manage this namespace
• The pod was started without sidecar injection
• No RoleBinding was created to grant control plane access

Update Kong Mesh to also manage the second namespace

Update Kong Mesh to include second-namespace

helm upgrade \
  --install \
  --create-namespace \
  --namespace kong-mesh-system \
  --set "kuma.namespaceAllowList={first-namespace,second-namespace}" \
  kong-mesh kong-mesh/kong-mesh

Restart workloads in the second namespace

Delete the old pod and recreate it to trigger sidecar injection:

kubectl delete pod --namespace second-namespace --all
kubectl run nginx --image=nginx --port=80 --namespace second-namespace

Verify the second namespace is now working

Check that the control plane is now managing the workload in second-namespace:

kubectl get dataplanes --namespace second-namespace

You should see a Dataplane resource for the new pod, confirming it is part of the mesh.

Next, verify that the pod now includes a sidecar:

kubectl get pods --namespace second-namespace

Expected output:

NAME    READY   STATUS    RESTARTS   AGE
nginx   2/2     Running   0          30s

Finally, check that the required RoleBinding has been created:

kubectl get rolebindings --namespace second-namespace

Expected output:

NAME                                ROLE                                            AGE
kong-mesh-control-plane-workloads   ClusterRole/kong-mesh-control-plane-workloads   30s

This confirms that:

• The control plane has the correct permissions in second-namespace
• The pod was injected with the kuma-sidecar
• The namespace is now fully integrated with the mesh

Cleanup

When you’re finished, clean up your environment:

minikube delete -p mesh-zone

What you’ve learned

In this guide, you’ve learned how to:

• Restrict Kong Mesh’s control plane permissions to specific Kubernetes namespaces
• Deploy test workloads and verify if the control plane manages them
• Expand access to additional namespaces and verify updated behavior

Next steps

To learn more about managing and restricting control plane permissions, see the Manage control plane permissions on Kubernetes documentation.