With GKE Multi-Cloud, you can create Kubernetes clusters in both AWS and Azure cloud environments. GKE clusters integrate with cloud provider specific resources such as load balancers and persistent storage.

Shows a Traditional pattern of separate Plan → Develop → Operate cycles for AWS, Google Cloud, and Azure and a new Multi-Cloud pattern where Plan → Develop → Operate cycles are connected through Anthos.

With a single-cloud platform design, you are forced into using highly-integrated cloud-specific tools. This creates one silo for each cloud environment. With GKE clusters, you can deploy workloads to multiple clouds with a unified management, signaling, and configuration control plane.

You can manage your Kubernetes clusters on AWS and Azure from the Google Cloud console. With Connect gateway, you can connect to your clusters in any cloud with your Google Cloud identity for authentication.

From this page, you can view documentation for GKE on AWS, GKE on Azure, and the GKE Multi-Cloud API. For more information about other GKE Enterprise cluster environments, see GKE Enterprise cluster options.

Get started for free

Start your next project with $300 in free credit

Build and test a proof of concept with the free trial credits and free monthly usage of 20+ products.

View free product offers

Keep exploring with 20+ always-free products

Access 20+ free products for common use cases, including AI APIs, VMs, data warehouses, and more.

Documentation resources

Find quickstarts and guides, review key references, and get help with common issues.

Related videos