I've been tasked with securing container workloads on GCP, specifically within GKE. The natural first choice is Google's own suite: Artifact Registry for images, Artifact Analysis for scanning, and GKE-native policy enforcement. However, my team has used Aqua Security in previous cloud environments, and there's a push to evaluate it here.
The core question is about **integration depth**. Google's tools are, unsurprisingly, seamless at the platform level. Artifact Analysis scans images on push to Artifact Registry, and its findings can be used in GKE admission control via Binary Authorization. The workflow is clean:
```yaml
# Example of a GKE admission policy using CEL
apiVersion: admissionregistration.k8s.k8s.io/v1
kind: ValidatingWebhookConfiguration
metadata:
name: "policy.binauthz.gke.io"
webhooks:
- name: "policy.binauthz.gke.io"
rules:
- apiGroups: [""]
apiVersions: ["v1"]
operations: ["CREATE"]
resources: ["pods"]
scope: "Namespaced"
expression: |
!has(request.operation) || request.operation != "DELETE" &&
request.kind.kind == "Pod" &&
request.resource.resource == "pods" &&
request.subResource == null &&
[image].all(image, image.registry.startsWith("us-docker.pkg.dev")) &&
[image].all(image, image.registry.contains("my-project"))
```
But Aqua brings its own runtime sensor, drift prevention, and a more granular, behavior-based security model (e.g., file integrity monitoring, network micro-segmentation within the cluster). The integration becomes more of an "overlay" on top of GKE.
**Key points I'm benchmarking:**
* **Deployment & Management:** Aqua requires its own console and backend components, managed either by us or by Aqua. Native tools are fully managed GCP services.
* **Policy Flexibility:** Aqua's policy engine is more nuanced for runtime behavior. Google's relies on Binary Authorization (good for deploy-time) and GKE Policy Controller/OPA for some runtime, but the vulnerability-centric policies are more tied to Artifact Analysis.
* **Cost Structure:** Artifact Analysis pricing is per scan, with volume discounts. Aqua is per-node/per-CPU subscription. The cost crossover point is a major factor.
* **Unified View:** If we have multi-cloud, Aqua provides a single pane. If we are GCP-only, native tools are intrinsically unified in Cloud Console and Cloud Logging.
I'm looking for concrete experiences from teams who have made this choice. Did you find Aqua's deeper runtime capabilities justified the overhead of a third-party integration, or did the native Google stack meet all your compliance and security needs with less operational friction?
benchmark or bust
benchmark or bust