
k8s-config-connector
GCP Config Connector, a Kubernetes add-on for managing GCP resources
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated May 2026
k8s-config-connector is Google's official Kubernetes controller for managing GCP resources, Cloud SQL, GCS buckets, Spanner, IAM, as Kubernetes manifests. Write YAML, kubectl apply, and a controller in your cluster keeps the GCP-side resources synced. Apache 2.0 and free.
This is the GCP-native answer to 'I'd rather declare infrastructure than click through a console or maintain a separate Terraform repo.' Install the controller, give it a service account, and your CI pipeline can manage cloud resources the same way it manages workloads. It uses the standard CRD pattern, so kubectl, kustomize, and GitOps tools work out of the box.
For teams already running everything through Kubernetes manifests on GCP, this collapses two infrastructure systems into one. Solo developers running a small GCP project: trivial to add. Larger teams get unified RBAC, GitOps workflows, and a single deployment surface for app and cloud resources. The closest comparison is Crossplane, but Config Connector is single-cloud and Google-maintained.
The catch: it only manages GCP, so any multi-cloud story still needs Terraform or Crossplane on the side. The controller is one more critical thing to run in your cluster, and resource drift between the cluster's view and the GCP console is a real category of bug you'll occasionally chase. A complex Terraform setup that works is not automatically worth replacing.
Free vs Self-Hosted vs Paid
fully freeFree: The full controller, Apache 2.0, Google-maintained.
Self-hosted: Install as a Kubernetes controller in your cluster, give it a GCP service account, apply CRD manifests for the GCP resources you want.
Paid: None directly. The cloud resources you provision (Cloud SQL, GCS, and so on) bill at GCP standard rates.
Free and open source under Apache 2.0. The GCP resources it provisions still bill at standard Google Cloud rates.
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License: Apache License 2.0
Use freely. Patent grant included.
Commercial use: ✓ Yes
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