{"id":432,"date":"2020-10-07T00:00:00","date_gmt":"2020-10-07T07:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/blog\/optimize-your-azure-workloads-with-azure-advisor-score"},"modified":"2025-06-30T08:09:41","modified_gmt":"2025-06-30T15:09:41","slug":"optimize-your-azure-workloads-with-azure-advisor-score","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/optimize-your-azure-workloads-with-azure-advisor-score\/","title":{"rendered":"Optimize your Azure workloads with Azure Advisor Score"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Modern engineering practices, like Agile and DevOps, are redirecting the ownership of security, operations, and cost management from centralized teams to workload owners\u2014catalyzing innovations at a higher velocity than in traditional data centers. In this new world, workload owners are expected to build, deploy, and manage cloud workloads that are secure, reliable, performant, and cost-effective. If you\u2019re a workload owner, you want well-architected deployments, so you might be wondering, how well are you doing today? Of all the actions you can take, which ones will make the biggest difference for your Azure workloads? And how will you know if you\u2019re making progress?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That\u2019s why we created <a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/advisor\/azure-advisor-score\" target=\"_blank\" rel=\"noopener\">Azure Advisor Score<\/a>\u2014to help you understand how well your Azure workloads are following best practices, assess how much you stand to gain by remediating issues, and prioritize the most impactful recommendations you can take to optimize your deployments.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"introducing-advisor-score\">Introducing Advisor Score<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Advisor Score enables you to get the most out of your Azure investment using a centralized dashboard to monitor and work towards optimizing the cost, security, reliability, operational excellence, and performance of your Azure resources.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Advisor Score will help you:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Assess<\/strong> how well you\u2019re following the best practices defined by <a href=\"https:\/\/aka.ms\/azureadvisordocs\" target=\"_blank\" rel=\"noopener\">Azure Advisor<\/a> and the <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/introducing-the-microsoft-azure-wellarchitected-framework\/\" target=\"_blank\" rel=\"noopener\">Microsoft Azure Well-Architected Framework<\/a>.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Optimize<\/strong> your deployments by taking the most impactful actions first.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><strong>Report<\/strong> on your well-architected progress over time.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image has-custom-border\"><img decoding=\"async\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2020\/10\/60538e73-c248-46a6-8d3f-69f5c14c2770.webp\" alt=\"Screenshot of the Azure Advisor Score experience in the Azure portal.\" style=\"border-radius:0px\" title=\"\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Baselining is one great use case we\u2019ve already seen with customers. You can use Advisor Score to baseline yourself and track your progress over time toward your goals by reviewing your score\u2019s daily, weekly, or monthly trends. Then, to reach your goals, you can take action first on the individual recommendations and resources with the most impact.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-advisor-score-works\">How Advisor Score works<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Advisor Score measures how well you\u2019re adopting Azure best practices, comparing and quantifying the impact of the Advisor recommendations you\u2019re already following, and the ones you haven\u2019t implemented yet. Think of it as a gap analysis for your deployed Azure workloads.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The overall score is calculated on a scale from 0 percent to 100 percent both in aggregate and separately for cost, security (coming soon), reliability, operational excellence, and performance. A score of 100 percent means all your resources follow all the best practices recommended in Advisor. On the other end of the spectrum, a score of zero percent means that none of your resources follow the recommended best practices. Advisor Score weighs all resources, both those with and without active recommendations, by their individual cost relative to your total spend. This builds on the assumption that the resources which consume a greater share of your total investment in Azure are more critical to your workloads. Advisor Score also adds weight to resources with longstanding recommendations. The idea is that the accumulated impact of these recommendations grows the longer they go unaddressed.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"review-your-advisor-score-today\">Review your Advisor Score today<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Check your Advisor Score today by visiting <a href=\"https:\/\/aka.ms\/azureadvisor\" target=\"_blank\" rel=\"noopener\">Azure Advisor<\/a> in the Azure portal. To learn more about the model behind Advisor Score and see examples of how the score is calculated, review our <a href=\"https:\/\/aka.ms\/azureadvisorscore\" target=\"_blank\" rel=\"noopener\">Advisor Score documentation<\/a>, and this <a href=\"https:\/\/medium.com\/data-science-at-microsoft\/breaking-through-how-were-making-recommendations-actionable-in-a-world-filled-with-them-dda60603c89d?source=friends_link&amp;sk=7d33fb55555377bcff5fc1dc3e2c95b2\" target=\"_blank\" rel=\"noopener\">behind-the-scenes blog<\/a> from our data science team about the development of Advisor Score.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Modern engineering practices, like Agile and DevOps, are redirecting the ownership of security, operations, and cost management from centralized teams to workload owners\u2014catalyzing innovations at a higher velocity than in traditional data centers.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","footnotes":"","msx_community_cta_settings":[]},"categories":[1454],"tags":[1509,2658],"audience":[3054,3053],"content-type":[1465],"product":[1573],"tech-community":[],"topic":[],"coauthors":[97],"class_list":["post-432","post","type-post","status-publish","format-standard","hentry","category-ai-machine-learning","tag-customer-enablement","tag-finops","audience-business-decision-makers","audience-it-decision-makers","content-type-announcements","product-azure-ai-metrics-advisor","review-flag-new-1680286579-546","review-flag-percent"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Optimize your Azure 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