您可以使用 GKE Multi-cloud，在 AWS 和 Azure 雲端環境建立 Kubernetes 叢集。GKE 叢集整合了雲端服務供應商的特定資源，例如負載平衡器和永久儲存空間。
單一雲端平台設計會迫使您使用高度整合的雲端專屬工具。這樣一來，每個雲端環境都會建立一個孤島。透過 GKE 叢集，您可以將工作負載部署至多個雲端，並使用統一的管理、信號和設定控制層。
您可以在 Google Cloud 控制台中管理 AWS 和 Azure 上的 Kubernetes 叢集。透過 Connect 閘道，您可以使用 Google Cloud 身分識別資訊進行驗證，並連線至任何雲端中的叢集。
您可以在這個頁面中查看 GKE on AWS、GKE on Azure 和 GKE Multi-Cloud API 的說明文件。如要進一步瞭解其他 GKE Enterprise 叢集環境，請參閱 GKE Enterprise 叢集選項。
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上次更新時間：2025-07-22 (世界標準時間)。
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-07-22 (世界標準時間)。"],[],[],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"]]
