Maximizing Isolation for Customers' Pods in Google Kubernetes Engine (GKE)

Achieving Maximum Isolation for Customers' Pods in GKE

Question

You are building a product on top of Google Kubernetes Engine (GKE)

You have a single GKE cluster.

For each of your customers, a Pod is running in that cluster, and your customers can run arbitrary code inside their Pod.

You want to maximize the isolation between your customers' Pods.

What should you do?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

C.

https://cloud.google.com/kubernetes-engine/sandbox/

The best way to maximize isolation between your customers' Pods on a single GKE cluster is to use a sandbox type and/or container image that offers strong isolation guarantees. Of the options presented, option C - creating a GKE node pool with a sandbox type configured to gvisor and adding the parameter runtimeClassName: gvisor to the specification of your customers' Pods - is the best choice.

Here's a more detailed explanation of each of the options:

A. Use Binary Authorization and whitelist only the container images used by your customers' Pods. This option could help prevent malicious or unapproved container images from being used in your GKE cluster. However, it does not provide any additional isolation between your customers' Pods beyond what is already provided by Kubernetes.

B. Use the Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods. This option could help you detect security vulnerabilities in the container images used by your customers' Pods, but it does not provide any additional isolation between the Pods themselves.

C. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods. This option provides strong isolation between your customers' Pods by using gvisor, a container sandbox technology developed by Google. When you create a node pool with gvisor enabled, each node in the pool will run a gvisor runtime that isolates the containers running on that node. By adding the runtimeClassName: gvisor parameter to the specification of your customers' Pods, you ensure that each Pod runs in a gvisor sandbox.

D. Use the cos_containerd image for your GKE nodes. Add a nodeSelector with the value cloud.google.com/gke-os-distribution: cos_containerd to the specification of your customers' Pods. This option uses Container-Optimized OS (COS) as the base image for the GKE nodes. COS is a lightweight operating system optimized for running containers. By adding a nodeSelector to your customers' Pods, you can ensure that they are scheduled on nodes running COS. While this option does provide some isolation between your customers' Pods, it is not as strong as gvisor, which provides a full container sandbox.

In summary, the best option for maximizing isolation between your customers' Pods on a single GKE cluster is to create a GKE node pool with a sandbox type configured to gvisor and add the parameter runtimeClassName: gvisor to the specification of your customers' Pods. This option provides strong isolation between the Pods by using a container sandbox technology specifically designed for this purpose.