新しいクラスタを作成する前に、スケーラビリティに影響するディメンションを理解する必要があります。クラスタ内の Pod 用に予約できる IP アドレスの数(clusterNetwork.pods.cidrBlocks)など、一部のディメンションは変更できないため、クラスタの作成時に計画する必要があります。スケーラビリティのディメンションとクラスタをスケールアップする方法の詳細については、Google Distributed Cloud クラスタをスケールアップするをご覧ください。クラスタの上限設定に関する制限と推奨事項の一部については、割り当てと上限をご覧ください。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-07-31 UTC。"],[],[],null,["# Cluster creation overview\n\nWhen you have finished setting up cluster node machines,\n[your network](/kubernetes-engine/distributed-cloud/bare-metal/docs/how-to/plan-ip-addresses), and\nthe other [prerequisites](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/install-prereq), you're\nalmost ready to install Google Distributed Cloud. The next step is to decide what\nkinds of clusters to create and choose which tool to use.\n\nChoose a cluster type\n---------------------\n\nYou can create different kinds of clusters in Google Distributed Cloud, including\n**admin** clusters (to control the resources of your clusters) and **user**\nclusters (to run workloads). We recommend admin and user cluster deployments\nif you have multiple clusters in the same data center that you want to manage\nfrom a centralized place, and for larger deployments that need isolation between\ndifferent teams or between development and production workloads.\n\nYou can also run Google Distributed Cloud as a single **standalone** cluster,\nwhich serves as a user cluster and as an admin cluster. A standalone cluster\nsupports the edge profile, which has significantly reduced system resource\nrequirements and is recommended for edge devices with high resource constraints.\nIn addition, Google Distributed Cloud lets you create **hybrid** clusters that\ncombine administration tasks and workloads, as well as controlling other user\nclusters.\n\nEach of these configurations has their own advantages and benefits. For more\ninformation on deciding which configuration to develop, see\n[Choose a deployment model](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/install-prep).\n\nChoose a tool to create clusters\n--------------------------------\n\nYou have your choice of tools for creating clusters and managing\ncluster lifecycle:\n\n- The command-line tool `bmctl`, which you run on your admin workstation in your on-premises data center.\n- The Google Cloud console, Google Cloud CLI, or [Terraform](https://www.terraform.io/). These standard tools use the GKE On-Prem API, which runs on Google Cloud infrastructure, and collectively they are referred to as the *GKE On-Prem API clients*.\n\nFor information on deciding which tool best suits your needs, see\n[Choose a tool to create clusters](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/cluster-lifecycle-management-tools).\n\nMore information\n----------------\n\nFor more information on creating and configuring clusters, see the\nfollowing:\n\n- Admin clusters:\n\n - [Create admin clusters using GKE On-Prem API clients](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/creating-clusters/create-admin-cluster-api)\n - [Create admin clusters using `bmctl`](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/creating-clusters/admin-cluster-creation)\n- User clusters\n\n - [Create user clusters using GKE On-Prem API clients](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/creating-clusters/create-user-cluster-api)\n - [Create user clusters using `bmctl`](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/creating-clusters/user-cluster-creation)\n- [Create standalone clusters](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/creating-clusters/standalone-cluster-creation)\n\n- [Create hybrid clusters](/kubernetes-engine/distributed-cloud/bare-metal/docs/installing/creating-clusters/hybrid-cluster-creation)\n\nAbout the creation process\n--------------------------\n\nThe cluster creation process includes preflight checks and machine\ninitialization. If cluster creation fails after the machine initialization phase\n(even if preflight checks passed without errors), you must\n[delete the cluster](/kubernetes-engine/distributed-cloud/bare-metal/docs/how-to/reset-nodes). This returns the node to\na clean state. After deleting the cluster, you can re-attempt to create the\ncluster after making any needed configuration changes.\n\nThe cluster creation process runs health checks when the cluster has been\ncreated. This last step verifies that the cluster is in good operating\ncondition. If the cluster doesn't pass all health checks, the create operation\nfails. When all health checks pass, the create operation finishes successfully.\n\nPlan for scalability\n--------------------\n\nBefore you create a new cluster, you need to understand the dimensions that\naffect scalability. Some dimensions, such as the number of IP addresses that you\ncan reserve for Pods in your cluster (`clusterNetwork.pods.cidrBlocks`), are\nimmutable, so you need to plan for them when you create a cluster. For more\ninformation about scalability dimensions and how to scale up a cluster, see\n[Scale up Google Distributed Cloud\nclusters](/kubernetes-engine/distributed-cloud/bare-metal/docs/how-to/scale). For information about some of the\nrestrictions and recommendations for maximum settings for your cluster, see\n[Quotas and limits](/kubernetes-engine/distributed-cloud/bare-metal/docs/limits)."]]