[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-08。"],[],[],null,["# GKE on AWS architecture\n\nGKE on AWS is a managed service that helps you provision,\noperate, and scale Kubernetes clusters in your AWS account.\n\nThis page is for Admins and architects and Operators who want to\ndefine IT solutions and system architecture in accordance with company strategy\nand requirements. To learn more about common roles and example tasks that we\nreference in Google Cloud content, see\n[Common GKE user roles and tasks](/kubernetes-engine/enterprise/docs/concepts/roles-tasks).\n\nResource management\n-------------------\n\nGKE on AWS uses AWS APIs to provision the resources\nneeded by your cluster, including virtual machines, managed disks,\nAuto Scaling group,\nsecurity groups, and load balancers.\n\nYou can create, describe, and delete clusters with the\n[Google Cloud CLI](/sdk/gcloud/reference/container/aws) or\n[GKE Multi-Cloud API](/kubernetes-engine/multi-cloud/docs/reference/rest).\n\n### Authenticating to AWS\n\nWhen you set up GKE on AWS, you create an AWS IAM role in your AWS account with the required permissions. You also create a service account in your Google Cloud project to establish a trust relationship for [AWS IAM identity federation](https://aws.amazon.com/identity/federation/).\n\nFor more information, see\n[Authentication overview](/kubernetes-engine/multi-cloud/docs/aws/concepts/authentication).\n\n### Resources on Google Cloud\n\nGKE on AWS uses a Google Cloud project to store cluster configuration\ninformation on Google Cloud.\n| **Warning:** Soon after you delete a Google Cloud project, any cluster resources in AWS are permanently deleted. To safeguard against the accidental deletion of a Google Cloud project, use [Project liens](/resource-manager/docs/project-liens).\n\nFleets and Connect\n------------------\n\nGKE on AWS registers each cluster with a\n[Fleet](/anthos/multicluster-management/fleets) when it is created.\n[Connect](/anthos/multicluster-management/connect/overview) enables\naccess to cluster and workload management features from Google Cloud. A\ncluster's Fleet membership name is the same as its cluster name.\n\nYou can enable features such as Config Management and\nCloud Service Mesh within your Fleet.\n\nCluster architecture\n--------------------\n\nGKE on AWS provisions clusters using private subnets inside your\nAWS Virtual Private Cloud. Each cluster consists of the following components:\n\n- **Control plane** : The Kubernetes control plane uses a high-availability\n architecture with three replicas. Each replica runs all Kubernetes components\n including `kube-apiserver`, `kube-controller-manager`, `kube-scheduler`, and\n `etcd`. Each `etcd` instance stores data in an EBS volume, and uses a\n network interface to communicate with other `etcd` instances. A standard load\n balancer is used to balance traffic to the Kubernetes API endpoint,\n `kube-apiserver`.\n\n \u003cbr /\u003e\n\n- **Node pools**: A node pool is a group of Kubernetes worker nodes\n with the same configuration, including instance type, disk configuration,\n and instance profile. All nodes in a node pool run on the same\n subnet. For high availability, you can provision multiple node pools across\n different subnets in the same AWS region.\n\nThe following diagram shows a sample VPC, node pool, and control plane\nstructure, including network address translation (NAT) gateway and load balancer.\nYou create this infrastructure with the instructions to\n[Create an AWS VPC](/kubernetes-engine/multi-cloud/docs/aws/how-to/create-aws-vpc) and\n[Quickstart](/kubernetes-engine/multi-cloud/docs/aws/quickstart).\n\nWhat's next\n-----------\n\n- Complete the [Prerequisites](/kubernetes-engine/multi-cloud/docs/aws/how-to/prerequisites)."]]
