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docs-mslearn/best-practices/compute.md

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title: FinOps best practices for compute
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description: This article provides FinOps best practices for compute services, including cost optimization, efficiency improvements, and insights into Azure resources.
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author: bandersmsft
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ms.date: 02/18/2025
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#customer intent: As a FinOps user, I want to understand what FinOps best practices I should use with compute services.
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docs-mslearn/best-practices/databases.md

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title: FinOps best practices for Databases
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description: This article outlines a collection of proven FinOps practices for database services.
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author: bandersmsft
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ms.date: 02/18/2025
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Let us know how we're doing with a quick review. We use these reviews to improve and expand FinOps tools and resources.
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docs-mslearn/best-practices/general.md

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title: FinOps best practices for general resource management
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description: This article outlines proven FinOps practices for Microsoft Cloud services, focusing on cost optimization, efficiency improvements, and resource insights.
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docs-mslearn/best-practices/library.md

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title: FinOps best practices library
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description: Discover essential FinOps best practices to optimize cost efficiency and governance for your Azure resources.
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docs-mslearn/best-practices/networking.md

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title: FinOps best practices for Networking
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description: This article outlines proven FinOps practices for networking services, focusing on cost optimization, efficiency improvements, and resource insights.
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Let us know how we're doing with a quick review. We use these reviews to improve and expand FinOps tools and resources.
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> [Give feedback](https://portal.azure.com/#view/HubsExtension/InProductFeedbackBlade/extensionName/FinOpsToolkit/cesQuestion/How%20easy%20or%20hard%20is%20it%20to%20use%20FinOps%20toolkit%20tools%20and%20resources%3F/cvaQuestion/How%20valuable%20is%20the%20FinOps%20toolkit%3F/surveyId/FTK0.8/bladeName/Guide.BestPractices/featureName/Networking)
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docs-mslearn/best-practices/storage.md

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title: FinOps best practices for Storage
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description: This article outlines proven FinOps practices for storage services, focusing on cost optimization, efficiency improvements, and resource insights.
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Let us know how we're doing with a quick review. We use these reviews to improve and expand FinOps tools and resources.
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docs-mslearn/best-practices/web.md

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title: FinOps best practices for Web
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description: This article outlines a collection of proven FinOps practices for web services, focusing on cost optimization, efficiency improvements, and resource insights.
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Let us know how we're doing with a quick review. We use these reviews to improve and expand FinOps tools and resources.
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docs-mslearn/conduct-iteration.md

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title: Tutorial - Conduct an iteration
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description: This tutorial helps you learn how to take an iterative approach to FinOps adoption.
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docs-mslearn/fabric/create-fabric-workspace-finops.md

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title: Create a Fabric workspace for FinOps
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description: This article guides you through creating and configuring a Microsoft Fabric workspace for FinOps. When completed, you can use Power BI to build reports.
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> Cost Management exports utilize managed identity. To create an export, you must be an Owner of the storage account or have access to grant permissions to the storage account. To see all required permissions, see [Prerequisites](/azure/cost-management-billing/costs/tutorial-improved-exports#prerequisites).
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If you want to automate export creation, consider using the [New-FinOpsCostExport command](https://microsoft.github.io/finops-toolkit/powershell/cost/New-FinOpsCostExport) in the FinOps toolkit PowerShell module.
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If you want to automate export creation, consider using the [New-FinOpsCostExport command](../toolkit/powershell/cost/New-FinOpsCostExport.md) in the FinOps toolkit PowerShell module.
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If you deployed [FinOps hubs](../toolkit/hubs/finops-hubs-overview.md), you can skip this step and use the processed data in hub storage.
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docs-mslearn/focus/conformance-full-report.md

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title: FOCUS conformance report
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description: Comprehensive analysis of the Microsoft Cost Management FOCUS dataset's adherence to FOCUS requirements.
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