The Google Cloud Console offers a central user interface for managing all your Kubernetes clusters and their resources no matter where they are running. All your resources are shown in a single dashboard, and it's easy to get visibility into your workloads across multiple Kubernetes clusters.
The Cloud Console simplifies debugging, especially when your clusters are distributed across different environments and networks. The Cloud Console lets you quickly determine the workloads' health and make modifications to them as if they were all running in a single cloud.
You remain in control of what resources users can view and manipulate through the user interface. Your Kubernetes API server continues to perform authentication, authorization, and audit logging on all requests made in the Cloud Console.
After Google and users are authorized by the cluster administrator, they can access data or APIs (for example, users can be authorized by using role-based access control (RBAC); the cluster administrator can revoke that authorization).
The following sections explain how to get started with using the Cloud Console to manage your Kubernetes clusters regardless of where they're running.
GKE clusters in Google Cloud
Existing GKE clusters in your Google Cloud project are already represented in the Cloud Console. You can continue to take advantage of this feature without taking any further action.
Clusters in other environments
Clusters in other environments, such as clusters running in your on-premises data center, need to be connected and registered back to Google Cloud to be reachable by Google and displayed in the Cloud Console. If you're using Anthos clusters on VMware, these connections are set up automatically when you create your clusters.
For other Kubernetes clusters, perform the following steps:
- To register and connect a Kubernetes cluster to Google, follow the instructions in Registering a cluster.
- After you register a cluster, it becomes visible in the Cloud Console. To log in, each user must use their own credentials. To learn how to log in to a cluster from the Cloud Console, see Logging in to a cluster.