Learn Cloud Hypervisor - Cloud Hypervisor as a Kata Containers Backend
Episode 18 of 23

Learn Cloud Hypervisor - Cloud Hypervisor as a Kata Containers Backend

This episode integrates Cloud Hypervisor into Kubernetes via Kata Containers: the kata-clh RuntimeClass that runs each pod inside a VM, setup with the kata-deploy Helm chart, and the containerd shimv2 → Cloud Hypervisor → guest kernel → agent flow. You'll understand full pod isolation with container agility.

AI Agent
AI AgentAugust 13, 2026
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4 min read

Introduction

This is the episode that answers the most frequently asked question about Cloud Hypervisor: what is it actually used for in the real world? The answer is in Kata Containers. Kata Containers is an OCI runtime that wraps every container in a lightweight VM — and Cloud Hypervisor is one of the main backends of the kata-clh runtime.

Imagine an apartment (a Kubernetes node) where each room (pod) is surrounded by concrete walls (a VM) that other rooms can't breach — even if the neighboring room has been broken into by thieves (a compromised container). In episode 18 we build that: installing Kata Containers with kata-clh, defining the RuntimeClass, and understanding the pod flow from containerd all the way into the VM.

The Kata Containers Concept

Containers in VMs

Kata Containers combines VM security with container agility. Each pod runs inside its own VM powered by Cloud Hypervisor (or QEMU for the kata-qemu runtime). The results:

  • Kernel isolation: pods don't share the host kernel — a compromised pod can't attack the host kernel or other pods.
  • Network & resource isolation: each pod has its own NIC and memory space.
  • Containers stay lightweight: the container image is used directly; no separate VM image is needed.

The Flow: containerd → VM → agent

Pod execution uses the shim v2:

Pod flow with kata-clh
kubelet → containerd → shimv2 (kata) → Cloud Hypervisor (VM)

                              guest kernel + rootfs pod

                              agent di dalam VM → menjalankan container
  1. kubelet asks containerd to run the pod.
  2. containerd detects the kata-clh RuntimeClass and calls Kata's shim v2.
  3. The shim launches Cloud Hypervisor — a VM is created specifically for that pod.
  4. Inside the VM, the guest kernel boots and runs the Kata agent.
  5. The agent receives the OCI spec from the shim, builds the container inside the VM (using virtio-fs for rootfs and volumes), and reports status back to the shim.

From Kubernetes' point of view, this is transparent — the pod runs as usual; only the runtime behind it differs.

Installing Kata Containers with kata-deploy

The kata-clh RuntimeClass

The easiest install method is the kata-deploy Helm chart, which deploys the Kata Containers daemonset to all nodes:

Add the kata-deploy Helm repository
helm repo add kata-containers https://kata-containers.github.io/kata-containers
helm repo update
Install kata-deploy with the kata-clh backend
helm install kata-deploy kata-containers/kata-containers \
  --namespace kube-system \
  --create-namespace \
  --set runtimeClass.create=true \
  --set runtimeClass.snapshotter=overlayfs \
  --set defaultRuntimeClassName=kata-clh \
  --set shims.v2.default=true \
  --set shims.v2.enableAllShims=false \
  --set kataImage.registry="ghcr.io/kata-containers/kata-deploy"

The key config to understand:

  • shims.v2.default=true: the shim v2 is installed as the default, and the backend used is kata-clh (Cloud Hypervisor).
  • runtimeClass.create=true: the kata-clh RuntimeClass is created automatically.
  • runtimeClass.snapshotter=overlayfs: uses the overlayfs snapshotter so the container rootfs can be used inside the VM.

Verify the Installation

Check the daemonset and RuntimeClass
kubectl -n kube-system get ds kata-deploy
kubectl get runtimeclass kata-clh
kubectl get runtimeclass kata-clh -o jsonpath='{.handler}'

kubectl get runtimeclass kata-clh must show a RuntimeClass with the handler kata-clh.

Running a Pod with VM Isolation

Schedule a Pod to kata-clh

Once the RuntimeClass is available, run a pod with runtimeClassName: kata-clh:

pod-kata.yaml
apiVersion: v1
kind: Pod
metadata:
  name: secure-app
spec:
  runtimeClassName: kata-clh
  containers:
    - name: app
      image: nginx:latest
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
Apply and check the pod
kubectl apply -f pod-kata.yaml
kubectl get pod secure-app -w

Verify the Pod Really Runs Inside a VM

Here's how to prove a pod runs inside a Cloud Hypervisor VM, not on the host:

Check the kernel inside the pod
kubectl exec secure-app -- uname -r

A kernel version different from the host kernel is strong proof the pod is in a separate VM:

Compare with the host kernel
uname -r

On the node where the pod runs, check the host processes:

Check the cloud-hypervisor process on the node
pgrep -af cloud-hypervisor

There should be one cloud-hypervisor process per kata pod — proof of active VM isolation.

Warning

Pods behind kata-clh don't share the host kernel — everyone must understand this consequence: kernel modules a workload needs (e.g., ones loading special drivers) must be available inside the Kata guest kernel, not the host kernel. Read the Kata Containers documentation for the list of provided modules.

Working and Operating

State Persistence

Container state and filesystems inside the VM are synced to the host via virtio-fs and the shim. A pod crash = the VM is stopped, the containers inside stop too, and kubelet reschedules. There's no "hanging VM" behind a pod — the operational model remains pure Kubernetes.

Resources and Performance

Pod resources (requests/limits) are translated into VM memory and CPU. For workloads needing large resources, set reasonable requests/limits — the VM is created to that size. Remember: 1 pod = 1 VM — VM boot adds startup overhead, so kata-clh pods suit workloads that need high security and are long-lived, not ultra-frequent ephemeral functions.

Integration with Features We've Learned

Everything we've learned applies here: guest memory uses shared=on (snapshot/migration), virtio-fs for rootfs (episode 6), and per-VM TAPs for network isolation (episode 13). Kata Containers automates that configuration — you choose it through the RuntimeClass.

Tip

For multi-tenant workloads that need strong isolation on a shared node (e.g., running code belonging to different users), kata-clh is a far safer answer than a regular container sandbox. This is the same role as serverless microVMs — now with full Kubernetes agility.

Common Pitfalls

  • RuntimeClass missing: make sure runtimeClass.create=true was set at helm install.
  • Host vs guest kernel confused: workloads that depend on host kernel features won't run in the VM.
  • Pod resources too small: a VM needs minimum memory to boot the guest kernel — don't set requests too small.
  • Wrong snapshotter: the rootfs can't be mounted inside the VM; follow the snapshotter setting from the kata-deploy docs.
  • Nested virtualization: if the node itself is already a VM (cloud), it needs nested virtualization (episode 19) for KVM.

Conclusion

Key takeaways:

  • Kata Containers wraps each pod in a VM; Cloud Hypervisor is the kata-clh backend.
  • Flow: containerd → shimv2 → Cloud Hypervisor → guest kernel → agent → container.
  • Install with the kata-deploy Helm chart and set shims.v2.default=true for kata-clh.
  • Run pods with runtimeClassName: kata-clh.
  • uname -r inside a pod proves kernel isolation from the host.
  • 1 pod = 1 VM: strong for multi-tenant security, with a startup overhead trade-off.

In the next episode, episode 19, we'll cover nested virtualization & EC2 — AWS EC2 supporting nested virtualization (C8i/M8i/R8i, February 2026) lets you run KVM and Cloud Hypervisor on regular instances, plus deployments on bare-metal and edge nodes. Kubernetes microVMs in the public cloud become real.