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Gke Service Networking

ASecurity

**Trigger**: Use when working with GKE Service Networking — Google Kubernetes Engine configuration and management. This skill provides workflows for exposing applications running on GKE securely to the internet or internal networks.

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  • Added September 10, 2026
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Scanned September 10, 2026

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SKILL.md
---

name: gke-service-networking
description: >-
source: google/skills
tags: [gcp, gke, kubernetes, google-cloud, container]
metadata: 
hermes: 

---

**Trigger**: Use when working with GKE Service Networking — Google Kubernetes Engine configuration and management.

# GKE Service Networking Skill

This skill provides workflows for exposing applications running on GKE securely
to the internet or internal networks.

## Workflows

### 1. Configure Gateway API (Recommended)

The Gateway API is the modern way to manage routing in Kubernetes.

**Prerequisites**: Gateway API must be enabled on the cluster (enabled by
default in GKE 1.24+).

**Example Gateway Manifest:**

```yaml
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: {gateway_name}
  namespace: {namespace}
spec:
  gatewayClassName: gke-l7-global-external-managed # GKE managed external L7 load balancer
  listeners:
    - name: http
      protocol: HTTP
      port: 80
```

**Example HTTPRoute Manifest:**

```yaml
apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: {route_name}
  namespace: {namespace}
spec:
  parentRefs:
    - name: {gateway_name}
  rules:
    - matches:
        - path:
            type: PathPrefix
            value: /
      backendRefs:
        - name: {service_name}
          port: 80
```

### 2. Configure Standard GKE Ingress

Use standard Ingress for simpler use cases or legacy setups.

**Example Ingress Manifest:**

```yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: {ingress_name}
  namespace: {namespace}
  annotations:
    kubernetes.io/ingress.class: "gce"
spec:
  rules:
    - http:
        paths:
          - path: /
            pathType: Prefix
            backend:
              service:
                name: {service_name}
                port:
                  number: 80
```

### 3. Secure with Cloud Armor

Cloud Armor provides WAF and DDoS protection.

**Enable Cloud Armor via BackendConfig:**

1.  Create a Security Policy in Cloud Armor (usually via gcloud or Terraform).
2.  Reference it in a `BackendConfig` in GKE.

**Example BackendConfig:**

```yaml
apiVersion: cloud.google.com/v1
kind: BackendConfig
metadata:
  name: {backend_config_name}
  namespace: {namespace}
spec:
  securityPolicy:
    name: {security_policy_name}
```

1.  Associate `BackendConfig` with your `Service` via annotations:

    ```yaml
    # In your Kubernetes Service manifest metadata.annotations:
    cloud.google.com/backend-config: '{"default": "{backend_config_name}"}'
    # Or for specific port mappings:
    cloud.google.com/backend-config: '{"ports": {"80": "{backend_config_name}"}}'
    ```

### 4. Configure Google-Managed SSL Certificates

Automatically provision and renew SSL certificates.

**Example ManagedCertificate (Legacy Ingress):**

```yaml
apiVersion: networking.gke.io/v1
kind: ManagedCertificate
metadata:
  name: {certificate_name}
spec:
  domains:
    - {domain_name}
```

Reference it in Ingress annotations: `networking.gke.io/managed-certificates:
{certificate_name}`.

**Gateway API Approach:** For standard Certificate Manager integration, create a
`CertificateMap` and reference it directly in the Gateway metadata annotations
using `networking.gke.io/cert-map: {certificate_map_name}`, or reference a
Kubernetes Secret in the HTTPS listener:

```yaml
apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: {gateway_name}
  namespace: {namespace}
  annotations:
    networking.gke.io/cert-map: {certificate_map_name} # For Certificate Manager maps
spec:
  gatewayClassName: gke-l7-global-external-managed
  listeners:
    - name: https
      protocol: HTTPS
      port: 443
      tls:
        mode: Terminate
        certificateRefs:
          - kind: Secret
            name: {secret_name} # Or directly reference a Kubernetes Secret
```

### 5. Enable Container-Native Load Balancing (Recommended)

Container-native load balancing allows load balancers to target Kubernetes Pods
directly, rather than targeting nodes. This improves latency and distribution.

**Prerequisites**: Cluster must be VPC-native.

**How it works**:

-   For GKE Ingress and Gateway API, container-native load balancing is enabled
    by default via Network Endpoint Groups (NEGs).
-   To verify or explicitly enable it for a Service, use the
    `cloud.google.com/neg` annotation.

**Example Service Manifest:**

```yaml
apiVersion: v1
kind: Service
metadata:
  name: {service_name}
  annotations:
    cloud.google.com/neg: '{"ingress": true}' # Enabled for Ingress
spec:
  ports:
    - protocol: TCP
      port: 80
      targetPort: 8080
  selector:
    app: {app_name}
  type: ClusterIP
```

### 6. Configure Private Service Connect (PSC)

Private Service Connect allows you to expose services in one VPC to consumers in
another VPC securely, without VPC peering.

**Steps:**

1.  Create an internal load balancer for your service.
2.  Create a `ServiceAttachment` referencing the load balancer.

**Example ServiceAttachment Manifest:**

```yaml
apiVersion: networking.gke.io/v1
kind: ServiceAttachment
metadata:
  name: {attachment_name}
  namespace: {namespace}
spec:
  connectionPreference: ACCEPT_AUTOMATIC
  natSubnets:
    - {nat_subnet_name} # Subnet dedicated for PSC NAT
  resourceRef:
    kind: Service
    name: {service_name}
```

Share the `ServiceAttachment` URI with consumers to create a PSC endpoint in
their VPC.

## Best Practices

1.  **Prefer Gateway API**: It offers more flexibility and role separation than
    Ingress.
2.  **Enable Cloud Armor**: Always protect public-facing endpoints with Cloud
    Armor.
3.  **Use Managed Certificates**: Avoid managing certificate renewals manually.
4.  **Use Container-Native Load Balancing**: Always use NEGs for HTTP(S) load
    balancing to reduce latency and improve traffic distribution.

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