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title FinOps best practices for general resource management
description This article outlines proven FinOps practices for Microsoft Cloud services, focusing on cost optimization, efficiency improvements, and resource insights.
author flanakin
ms.author micflan
ms.date 04/02/2025
ms.topic concept-article
ms.service finops
ms.subservice finops-learning-resources
ms.reviewer arclares

FinOps best practices for general resource management

This article outlines a collection of general FinOps best practices that can be applied to various Microsoft Cloud services. It includes strategies for optimizing costs, improving efficiency, and using Azure Resource Graph (ARG) queries to gain insights into your resources. By following these practices, you can ensure that your cloud services are cost-effective and aligned with your organization's financial goals.


Carbon Optimization

The following section provides an ARG query for carbon optimization. It helps you gain insights into your Azure resources and identify opportunities to reduce carbon emissions. By analyzing recommendations from Azure Advisor, you can optimize your cloud infrastructure for sustainability and environmental impact.

Query: Carbon emissions

This ARG query identifies resources within your Azure environment that have recommendations for reducing carbon emissions, based on Azure Advisor recommendations.

Description

This query surfaces Azure resources with recommendations from Azure Advisor for optimizing carbon emissions. It highlights potential carbon savings and provides insights into how these recommendations can be implemented to reduce the carbon footprint of your cloud infrastructure.

Category

Sustainability

Query

advisorresources
| where tolower(type) == "microsoft.advisor/recommendations"
| extend RecommendationTypeId = tostring(properties.recommendationTypeId)
| where RecommendationTypeId in ("94aea435-ef39-493f-a547-8408092c22a7", "e10b1381-5f0a-47ff-8c7b-37bd13d7c974")
| extend properties = parse_json(properties)
| project
    subscriptionId,
    resourceGroup,
    ResourceId = properties.resourceMetadata.resourceId,
    ResourceType = tostring(properties.impactedField),
    shortDescription = properties.shortDescription.problem,
    recommendationType = properties.extendedProperties.recommendationType,
    recommendationMessage = properties.extendedProperties.recommendationMessage,
    PotentialMonthlyCarbonEmissions = properties.extendedProperties.PotentialMonthlyCarbonEmissions,
    PotentialMonthlyCarbonSavings = toreal(properties.extendedProperties.PotentialMonthlyCarbonSavings),
    properties

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