Sign in to your Google Cloud account. If you're new to
Google Cloud,
create an account to evaluate how our products perform in
real-world scenarios. New customers also get $300 in free credits to
run, test, and deploy workloads.
In the Google Cloud console, on the project selector page,
select or create a Google Cloud project.
在「Workloads and licenses」(工作負載與授權) 頁面的「Oracle and SAP workloads」(Oracle 和 SAP 的工作負載) 專區中，選取「Oracle」與「SAP」。
在出現的其他「Oracle vCPU」和「SAP vCPU」欄位中，輸入以下的值：
% of total vCPUs running Oracle Database (執行 Oracle 資料庫的 vCPU 總數百分比)：32
% of total vCPUs running Oracle Exadata (執行 Oracle Exadata 的 vCPU 總數百分比)：0
% of total total vCPUs running Oracle Data Warehouse Database (執行 Oracle 資料倉儲資料庫的 vCPU 總數百分比)：0
Storage for Oracle database (GB) (Oracle 資料庫的儲存空間 (GB))：50
% of total SAP Application vCPUs (SAP 應用程式 vCPU 總數百分比)：38
% of total SAP Database vCPUs (SAP 資料庫 vCPU 總數百分比)：12
在「Licenses for other Workloads」(所有其他工作負載的授權) 專區中，選取「Windows Server」。
依序選取「Linux OS」，以及「Free Linux OS options (Ubuntu, CentOS, Debian, AlmaLinux, openSUSE, etc)」(免費 Linux OS 選項 (Ubuntu、CentOS、Debian、AlmaLinux、openSUSE 等))。
在「% of vCPUs running Windows Server」(執行 Windows Server 的 vCPU 百分比) 欄位中，輸入 30。
在「% of vCPUs running free Linux OS」(執行免費 Linux OS 的 vCPU 百分比) 欄位中，輸入 70。
如要設定遷移時程，請按「Next」(下一步)。
設定遷移時程
保留「Migration timeline, pricing, and discounts」(遷移時程、定價和折扣) 頁面上的預設值。
如要查看及匯出結果，請按一下「Submit」(提交)。
查看和匯出估算結果
這個頁面會顯示以下內容：
您的 5 年雲端支出預估範圍。
在這個範例中，範圍為 $5,750 萬美元到 $7,030 萬美元。
所選環境的預估價格。
在此範例中，如要查看將 on-premises 基礎架構遷移至 Google Cloud 的年度費用明細，以及每項產品的年度費用明細，請按一下「On-premises」結果資訊卡中的「View details」(查看詳細資料)。
[[["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：2025-09-04 (世界標準時間)。"],[],[],null,["# Quickstart: Generate a rapid cost estimate\n==========================================\n\nLearn how to generate a rapid cost estimate for running your infrastructure on\nGoogle Cloud with Migration Center.\n\nThe estimates are generated based on Google Cloud best practices. Your\nactual cost can be higher or lower than the generated estimate.\n\nIn this example, you will estimate the cost of migrating an on-premises\nenvironment that has the following specifications:\n\n- Contains x86 vCPUs only\n- Includes SAP and Oracle vCPUs\n- Includes both Linux and Windows vCPUs\n- Has a migration timeline of 5 years\n\n*** ** * ** ***\n\nTo follow step-by-step guidance for this task directly in the\nGoogle Cloud console, click **Guide me**:\n\n[Guide me](https://console.cloud.google.com/?walkthrough_id=migration-center--estimate--generate-estimate)\n\n*** ** * ** ***\n\nBefore you begin\n----------------\n\n- Sign in to your Google Cloud account. If you're new to Google Cloud, [create an account](https://console.cloud.google.com/freetrial) to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\nStart estimation\n----------------\n\n1. In the Google Cloud console, go to the **Migration Center Estimate cost** page.\n\n [Go to Estimate cost](https://console.cloud.google.com/migration/spend)\n2. In the **Estimate name** field, enter `demo_estimate`.\n\n3. In the **On-premises** calculator card, click **Add to estimate**.\n\n4. Click **Start estimate**.\n\n5. On the **Start your estimate** page, in the **On-premises** card, click **Start**.\n\nSpecify infrastructure details\n------------------------------\n\n1. On the **Estimate basics** page, leave the default location as is\n and click **Next**.\n\n2. On the **Infrastructure** page, in the **Total vCPUs to be migrated**\n section, in the **Number of vCPUs** field, enter `78250`.\n\n Based on the default storage to compute ratio, which is `4:1`, the\n **Data center memory required** field is automatically updated to `313000`.\n3. Leave the **Include non-x86 infrastructure** checkbox blank.\n\n4. In the **Storage currently in use in your data center(s)** section, specify\n the following details:\n\n 1. In the **Total storage (TB)** field, enter `110`.\n\n 2. Leave the default values for **% File Storage** , **% Block Storage** ,\n and **% Object Storage** as is.\n\n5. To specify the workload and license details, click **Next**.\n\nSpecify workload and license details\n------------------------------------\n\n1. On the **Workloads and licenses** page, in the **Oracle and SAP workloads**\n section, select **Oracle** and **SAP**.\n\n2. In the additional **Oracle vCPUs** and **SAP vCPUs** fields that appear,\n enter the following values:\n\n - **% of total vCPUs running Oracle Database** : `32`\n - **% of total vCPUs running Oracle Exadata** : `0`\n - **% of total total vCPUs running Oracle Data Warehouse Database** : `0`\n - **Storage for Oracle database (GB)** : `50`\n - **% of total SAP Application vCPUs** : `38`\n - **% of total SAP Database vCPUs** : `12`\n3. In the **Licenses for all other workloads** section, select **Windows Server**.\n\n4. Select **Linux OS**\n and then select **Free Linux OS options (Ubuntu, CentOS, Debian, AlmaLinux, openSUSE, etc)**.\n\n5. In the **% of vCPUs running Windows Server** field, enter `30`.\n\n6. In the **% of vCPUs running free Linux OS** field, enter `70`.\n\n7. To set up the migration timeline, click **Next**.\n\nSet up the migration timeline\n-----------------------------\n\n1. On the **Migration timeline, pricing, and discounts** page, leave the\n default values as is.\n\n2. To review and export the results, click **Submit**.\n\n\u003cbr /\u003e\n\nReview and export estimation results\n------------------------------------\n\nThis page displays the following:\n\n- Your 5-year cloud spend estimate range.\n\n For this example, the range is **$57.5M - $70.3M**.\n- Estimated pricing for your selected environment.\n\n In this example, to view the breakdown of the annual cost for migrating your\n on-premises infrastructure to Google Cloud and the breakdown of\n the annual cost for each product, click **View details** in\n the **On-premises** results card.\n\n To view the breakdown of the annual cost for each product, click the product\n name. For example, to view the annual cost breakdown for Compute Engine,\n click **Compute**.\n The annual list price and percentage of the total estimate is\n displayed for each Compute Engine component.\n\n Further, to see the details of how this cost is calculated for any\n Google Cloud component, click the component name. For example, click\n **Compute for Hot cores (N2)** .\n The details about how the sizing and price is calculated is displayed. These\n calculations are based on your inputs and the [default assumptions](/migration-center/docs/estimate/review-defaults)\n that you can edit if needed.\n\nTo export the estimation results, on the top of the results page,\nclick **Export** and select the appropriate option.\n\nClean up\n--------\n\n\nTo avoid incurring charges to your Google Cloud account for\nthe resources used on this page, follow these steps.\n\n### Delete the project\n\n\nThe easiest way to eliminate billing is to delete the project that you\ncreated for the tutorial.\n\nTo delete the project:\n\n| **Caution** : Deleting a project has the following effects:\n|\n| - **Everything in the project is deleted.** If you used an existing project for the tasks in this document, when you delete it, you also delete any other work you've done in the project.\n| - **Custom project IDs are lost.** When you created this project, you might have created a custom project ID that you want to use in the future. To preserve the URLs that use the project ID, such as an `appspot.com` URL, delete selected resources inside the project instead of deleting the whole project.\n|\n|\n| If you plan to explore multiple architectures, tutorials, or quickstarts, reusing projects\n| can help you avoid exceeding project quota limits.\n1. In the Google Cloud console, go to the **Manage resources** page.\n\n [Go to Manage resources](https://console.cloud.google.com/iam-admin/projects)\n2. In the project list, select the project that you want to delete, and then click **Delete**.\n3. In the dialog, type the project ID, and then click **Shut down** to delete the project.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\nWhat's next\n-----------\n\n- Learn more about [cost estimation](/migration-center/docs/estimate/overview)."]]
