Terraform を使用して Vertex AI Workbench リソースをプロビジョニングする
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HashiCorp Terraform は、クラウド インフラストラクチャのプロビジョニングと管理に使用できる Infrastructure as Code（IaC）ツールです。Terraform には、クラウド プロバイダや他の API とやり取りできるプロバイダというプラグインが用意されています。 Google Cloud用の Terraform プロバイダを使用して、Vertex AI Workbench などの Google Cloud リソースをプロビジョニングして管理できます。
このページでは、Vertex AI Workbench で Terraform を使用する方法について説明します。Terraform の仕組みの概要と、 Google Cloudで Terraform の使用を開始するためのリソースも紹介します。また、Vertex AI Workbench の Terraform リファレンス ドキュメント、コードサンプル、Terraform を使用して Vertex AI Workbench リソースをプロビジョニングするガイドへのリンクも掲載しています。
[[["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 2025-09-04 UTC。"],[],[],null,["# Provision Vertex AI Workbench resources with Terraform\n\nHashiCorp Terraform is an infrastructure-as-code (IaC) tool that lets you\nprovision and manage cloud infrastructure. Terraform provides plugins called\n*providers* that let you interact with cloud providers and other APIs. You can\nuse the *Terraform provider for Google Cloud* to provision and manage\nGoogle Cloud resources, including Vertex AI Workbench.\n\nThis page introduces you to using Terraform with Vertex AI Workbench, including an\nintroduction to how Terraform works and some resources to help you get started using\nTerraform with Google Cloud. You'll also find links to Terraform reference docs for\nVertex AI Workbench, code examples, and guides for using Terraform to provision\nVertex AI Workbench resources.\n\nFor instructions on how to get started with Terraform for Google Cloud, see\n[Install and configure Terraform](/docs/terraform/install-configure-terraform) or the\n[Terraform for Google Cloud quickstart](/docs/terraform/create-vm-instance).\n\nHow Terraform works\n-------------------\n\nTerraform has a declarative and configuration-oriented syntax, which you can\nuse to describe the infrastructure that you want to provision in your\nGoogle Cloud project. After you author this configuration in one or more\nTerraform configuration files, you can use the Terraform CLI to apply this\nconfiguration to your Vertex AI Workbench resources.\n\nThe following steps explain how Terraform works:\n\n1. You describe the infrastructure you want to provision in a *Terraform\n configuration file*. You don't need to write code describing how to provision the infrastructure. Terraform provisions the infrastructure for you.\n2. You run the `terraform plan` command, which evaluates your configuration and generates an execution plan. You can review the plan and make changes as needed.\n3. You run the `terraform apply` command, which performs the following\n actions:\n\n 1. It provisions your infrastructure based on your execution plan by invoking the corresponding Vertex AI Workbench APIs in the background.\n 2. It creates a *Terraform state file*, which is a JSON file that maps the resources in your configuration file to the resources in the real-world infrastructure. Terraform uses this file to keep a record of the most recent state of your infrastructure, and to determine when to create, update, and destroy resources.\n 3. When you run `terraform apply`, Terraform uses the mapping in\n the state file to compare the existing infrastructure to the code, and make\n updates as necessary:\n\n - If a resource object is defined in the configuration file, but doesn't exist in the state file, Terraform creates it.\n - If a resource object exists in the state file, but has a different configuration from your configuration file, Terraform updates the resource to match your configuration file.\n - If a resource object in the state file matches your configuration file, Terraform leaves the resource unchanged.\n\nTerraform resources for Vertex AI Workbench\n-------------------------------------------\n\n*Resources* are the fundamental elements in the Terraform language. Each\nresource block describes one or more infrastructure objects, such as virtual\nnetworks or compute instances.\n\nThe following table lists the Terraform resources available for\nVertex AI Workbench:\n\n\n\u003cbr /\u003e\n\nTerraform-based guides for Vertex AI Workbench\n----------------------------------------------\n\nThe following table lists Terraform-based how-to guides and tutorials for\nVertex AI Workbench:\n\n\n\u003cbr /\u003e\n\nTerraform modules and blueprints for Vertex AI Workbench\n--------------------------------------------------------\n\nModules and blueprints help you automate provisioning and managing of\nGoogle Cloud resources at scale. A *module* is a\nreusable set of Terraform configuration files that creates a logical abstraction\nof Terraform resources. A *blueprint* is a package of deployable and reusable\nmodules, and a policy that implements and documents a specific solution.\n\nThe following table lists modules and blueprints related to\nVertex AI Workbench:\n\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- [Terraform code samples for Vertex AI Workbench](/docs/samples?language=terraform)\n- [Terraform on Google Cloud documentation](/docs/terraform)\n- [Google Cloud provider documentation in HashiCorp](https://registry.terraform.io/providers/hashicorp/google/latest/docs)\n- [Infrastructure as code for Google Cloud](/docs/terraform/iac-overview)"]]
