借助 GKE Multi-cloud,您可以在 AWS 和 Azure 云环境中创建 Kubernetes 集群。GKE 集群与云服务提供商的特定资源(例如负载均衡器和永久性存储)相集成。
在单云平台设计中,您必须使用高度集成的云专用工具。这会为每个云环境创建一个孤岛。借助 GKE 集群,您可以使用统一的管理、信令和配置控制平面,将工作负载部署到多个云。
您可以通过 Google Cloud 控制台管理 AWS 和 Azure 上的 Kubernetes 集群。借助 Connect 网关,您可以使用 Google Cloud 身份进行身份验证,连接到任何云中的集群。
在此页面上,您可以查看 GKE on AWS、GKE on Azure 和 GKE Multi-Cloud API 的相关文档。如需详细了解其他 GKE Enterprise 集群环境,请参阅 GKE Enterprise 集群选项。
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如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2025-09-03。
[[["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):2025-09-03。"],[],[],null,["GKE Multi-Cloud documentation\nWith GKE Multi-Cloud, you can create Kubernetes clusters in both AWS and Azure\ncloud environments.\nGKE clusters integrate with cloud provider specific resources such as load balancers and\npersistent storage.\n\n\nWith a single-cloud platform design, you are forced into using highly-integrated\ncloud-specific tools. This creates one silo for each cloud environment. With\nGKE clusters, you can deploy workloads to multiple clouds with a unified management,\nsignaling, and configuration control plane.\n\n\nYou can manage your Kubernetes clusters on AWS and Azure from the Google Cloud console. With [Connect\ngateway](/anthos/multicluster-management/gateway#why_use_the_connect_gateway), you can connect to your clusters in any cloud with your Google Cloud identity for\nauthentication.\n\n\nFrom this page, you can view documentation for GKE on AWS, GKE on Azure, and\nthe GKE Multi-Cloud API. For more information about other GKE cluster\nenvironments, see [GKE cluster\noptions](/anthos/clusters/docs).\n[Get started for free](https://console.cloud.google.com/freetrial) \n\nStart your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\nKeep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources \nFind quickstarts and guides, review key references, and get help with common issues. \nformat_list_numbered\n\nGuides\n\n-\n\n [GKE on AWS](/kubernetes-engine/multi-cloud/docs/aws)\n\n-\n\n [GKE on Azure](/kubernetes-engine/multi-cloud/docs/azure)\n\n-\n\n [GKE Attached clusters (Any CNCF-conformant cluster)](/kubernetes-engine/multi-cloud/docs/attached)\n\nfind_in_page\n\nReference\n\n-\n\n [Multi-Cloud API reference](/kubernetes-engine/multi-cloud/docs/reference/rest)\n\nRelated videos"]]