Experimenting with ClusterNetworkPolicy in GKE
Standard Network Policies limit you to applying policies at the namespace level, but ClusterNetworkPolicy (CNP) lets you apply granular networking policies across an entire cluster. When you use CNP, you can easily scale security and governance policies. Recently, I experimented with this functionality in Google Kubernetes Engine (GKE) and saw the benefits for myself.
In this post, we'll explore using CNP to control traffic to an LLM and cluster. If you want to jump right into a hands-on lab, check out this Codelab: Secure AI Inference Workloads with GKE ClusterNetworkPolicy.
How CNP works
CNP follows a three-tier flow with a precedence match:
- Admin tier (top precedence): Cluster administrator enforces mandatory security rules that can't be bypassed (for example, blocking metadata access).
- Network policy tier (middle precedence): Standard namespace-scoped policies that are managed by application teams to control ingress and egress for their microservices.
- Baseline tier (bottom precedence)...
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