[[["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)：2024-11-26。"],[],[],null,["# GKE editions\n\n*** ** * ** ***\n\nGoogle Kubernetes Engine (GKE) is Google's managed [Kubernetes](https://kubernetes.io/) service that you\ncan use to deploy and operate containerized applications using Google's\ninfrastructure. It provides the operational power of Kubernetes while managing\nmany of the underlying components, such as the control plane and nodes, for\nyou.\n\nGKE features are available in two tiers, or editions: a\n[standard tier of core functionality](/kubernetes-engine/docs/concepts/kubernetes-engine-overview)\navailable to all GKE users, and an enterprise tier with powerful features for governing, managing, and operating containerized\nworkloads at enterprise scale.\n\nWhy GKE Enterprise?\n-------------------\n\nTypically, as organizations embrace cloud-native technologies like containers,\ncontainer orchestration, and service meshes, they reach a point where running a\nsingle cluster is no longer sufficient. There are a variety of reasons why\norganizations choose to deploy multiple clusters to achieve their technical and\nbusiness objectives. Some examples include separating production from non-production\nenvironments, complying with varying regulatory restrictions, or organizing services across\ntiers, locales, or teams. However, using multiple clusters has its own\ndifficulties and overhead in terms of consistent configuration, security, and\nmanagement - for example, manually configuring one cluster at a time is\nerror-prone, and it can be challenging to see exactly where these errors are\nhappening. Large enterprises are also often organizationally complex, with\nmultiple teams needing to run, observe, and manage their workloads across\nmultiple clusters.\n\nGoogle Cloud has already helped organizations solve problems like this with\n**Anthos** - a container platform that provides a range of features for working\nat enterprise scale. This platform is built around the idea of the *fleet*, a\nlogical grouping of Kubernetes clusters that can be managed together and\nbenefit from sameness of namespaces, services, and/or identity across\nthe clusters.\n\nThe principles of trust and sameness that are assumed within the fleet enable\nyou to use a whole range of fleet-enabled features, including:\n\n- Configuration and policy management tools that help you work more easily at scale, automatically adding and updating the same configuration, features, and security policies consistently across your fleet.\n- Fleet-wide networking features that help you manage traffic across your entire fleet, including Multi Cluster Ingress for applications that span multiple clusters, and service mesh traffic management features.\n- Identity management features that help you consistently configure authentication for fleet workloads and users.\n- Observability features that let you monitor and troubleshoot your fleet clusters and applications, including their health, resource utilization, and security posture.\n- For microservice-based applications running in your fleet, Service Mesh provides powerful tools for application security, networking, and observability across your mesh.\n\n**GKE Enterprise brings these capabilities fully into\nGKE**, creating an integrated container platform that makes it\neven easier for organizations to adopt best practices and principles that we've\nlearned from running services at Google.\n\nGKE Enterprise also brings powerful new team management features.\nIt's now simpler for platform admins to provision fleet resources for multiple\nteams, and give application teams their own dashboards and metrics, all scoped\nto their own resources and workloads.\n\nEven if you're not ready to fully adopt fleets, GKE Enterprise also\nincludes helpful features for your organization that you can use with individual clusters. These include advanced\nsecurity and compliance insights, Binary Authorization, and richer networking features.\n\nFor a full description of the features that power\nGKE Enterprise, and to find out more about whether\nGKE Enterprise is for you, see the [GKE Enterprise technical overview](/kubernetes-engine/enterprise/docs/concepts/overview).\n\nEdition features\n----------------\n\nThe following table provides an overview of the features included in each GKE tier. Not all enterprise features are supported on clusters outside Google Cloud. For full details of available GKE Enterprise features, including enterprise features that can also be purchased without a full upgrade to GKE Enterprise and features that can be used without fleet registration, see [Deployment options](/kubernetes-engine/enterprise/docs/deployment-options).\n\nWhat's next\n-----------\n\n- Find out how to enable GKE Enterprise for your project in [Enable GKE Enterprise](/kubernetes-engine/docs/how-to/enable-gkee)."]]
