From 7375281b7e1b5472250c5f4f9fe298327f0a40e6 Mon Sep 17 00:00:00 2001 From: Helder Pinto Date: Mon, 8 Jul 2024 10:18:41 +0100 Subject: [PATCH] Fixed paths to images --- .../configuring-workspaces.md | 2 +- docs/_optimize/optimization-engine/reports.md | 34 +++++++++---------- .../suppressing-recommendations.md | 2 +- 3 files changed, 19 insertions(+), 19 deletions(-) diff --git a/docs/_optimize/optimization-engine/configuring-workspaces.md b/docs/_optimize/optimization-engine/configuring-workspaces.md index 5822ecd48..f74df62ac 100644 --- a/docs/_optimize/optimization-engine/configuring-workspaces.md +++ b/docs/_optimize/optimization-engine/configuring-workspaces.md @@ -108,4 +108,4 @@ In summary, a Windows VM generates, in average, 245 bytes per performance counte If you have VMs onboarded to multiple Log Analytics workspaces and you want them to be fully included in the VM right-size recommendations report, you can add those workspaces to the solution just by adding a new variable to the AOE Azure Automation account. In the Automation Account _Shared Resources - Variables_ menu option, click on the _Add a variable button_ and enter `AzureOptimization_RightSizeAdditionalPerfWorkspaces` as the variable name and fill in the comma-separated list of workspace IDs (see example below). Finally, click on _Create_. -![Adding an Automation Account variable with a list of additional workspace IDs for the VM right-size recommendations](../../assets/images/aoe/loganalytics-additionalperfworkspaces.jpg "Additional workspace IDs variable creation") \ No newline at end of file +![Adding an Automation Account variable with a list of additional workspace IDs for the VM right-size recommendations](../assets/images/aoe/loganalytics-additionalperfworkspaces.jpg "Additional workspace IDs variable creation") \ No newline at end of file diff --git a/docs/_optimize/optimization-engine/reports.md b/docs/_optimize/optimization-engine/reports.md index e0565a2b2..9d3fd6ed6 100644 --- a/docs/_optimize/optimization-engine/reports.md +++ b/docs/_optimize/optimization-engine/reports.md @@ -32,15 +32,15 @@ Visualize the Azure Optimization Engine rich recommendations and insights. AOE includes a [Power BI report](http://aka.ms/AzureOptimizationEngine/powerbi) for visualizing recommendations. To use it, you have first to change the data source connection to the SQL Database you deployed with the AOE. In the Power BI top menu, choose Transform Data > Data source settings. -![Open the Transform Data > Data source settings menu item](../../assets/images/aoe/powerbi-transformdatamenu.jpg "Transform Data menu options") +![Open the Transform Data > Data source settings menu item](../assets/images/aoe/powerbi-transformdatamenu.jpg "Transform Data menu options") Then click on "Change source" and change to your SQL database server URL (don't forget to ensure your SQL Firewall rules allow for the connection). -![Click on Change source and update SQL Server URL](../../assets/images/aoe/powerbi-datasourcesettings.jpg "Update data source settings") +![Click on Change source and update SQL Server URL](../assets/images/aoe/powerbi-datasourcesettings.jpg "Update data source settings") The report was built for a scenario where you have an "environment" tag applied to your resources. If you want to change this or add new tags, open the Transform Data menu again, but now choose the Transform data sub-option. A new window will open. If you click next in "Advanced editor" option, you can edit the data transformation logic and update the tag processing instructions. -![Open the Transform Data > Transform data menu item, click on Advanced editor and edit accordingly](../../assets/images/aoe/powerbi-transformdata.jpg "Update data transformation logic") +![Open the Transform Data > Transform data menu item, click on Advanced editor and edit accordingly](../assets/images/aoe/powerbi-transformdata.jpg "Update data transformation logic") The report contains several pages described in the sections below. @@ -48,19 +48,19 @@ The report contains several pages described in the sections below. The initial page shows a summary of the latest recommendations available, filterable by multiple perspectives. If this page shows empty, you must refresh it to get last week's recommendations. If it still shows empty after refresh, then there might be some upstream issue with the AOE Automation runbooks. -![An overview of all your optimization recommendations](../../assets/images/aoe/powerbi-dashboard-overview.jpg "An overview of all your optimization recommendations") +![An overview of all your optimization recommendations](../assets/images/aoe/powerbi-dashboard-overview.jpg "An overview of all your optimization recommendations") ### Cost - Cost recommendations overview The **Cost** page displays the latest Cost recommendations generated by AOE (together with Azure Advisor ones). These recommendations are sorted by potential **monthly** savings. For each recommendation, there is a link to an Azure portal page with more details and a fit score that tells you how the recommendation fits your environment characteristics. For AOE custom recommendations, the fit score is also a measure of accuracy. The closer to a score of 5, the more fit/accurate the recommendation is. -![An overview of your Cost optimization opportunities](../../assets/images/aoe/powerbi-dashboard-costoverview.jpg "An overview of your Cost optimization opportunities") +![An overview of your Cost optimization opportunities](../assets/images/aoe/powerbi-dashboard-costoverview.jpg "An overview of your Cost optimization opportunities") ### VM Right-Size overview and exploration The **VM Right-Size Overview** page gives you a high-level understanding of Azure Advisor VM right-size recommendations' relative distribution. We can quickly see how many right-size recommended target SKUs are supported by the workload characteristics. If you have VMs sending the required performance counters to Log Analytics, you get a clearer view on the supportability of each recommendation. In the example below, we have some "unknowns", since one of the VMs was not sending performance metrics to the Log Analytics workspace. -![An overview of your VM right-size recommendations](../../assets/images/aoe/powerbi-dashboard-vmrightsizeoverview.jpg "An overview of your VM right-size recommendations") +![An overview of your VM right-size recommendations](../assets/images/aoe/powerbi-dashboard-vmrightsizeoverview.jpg "An overview of your VM right-size recommendations") The **VM Right-Size Exploration** page allows you to filter and do a deeper analysis of Azure Advisor VM right-size recommendations by multiple perspectives. @@ -72,11 +72,11 @@ Similar to the **Cost** page, there are other latest recommendations pages for e When a recommendation is selected in one of the 5 Well-Architected pillars pages, you can right-click it and drill through the recommendation. There are two options available: **Recommendation Details** and **Recommendation History**. -![Drilling through a recommendation](../../assets/images/aoe/powerbi-recdetails-drillthrough.jpg "Drilling through a recommendation") +![Drilling through a recommendation](../assets/images/aoe/powerbi-recdetails-drillthrough.jpg "Drilling through a recommendation") The **Recommendation Details** option takes you to a page where you can see all the details of that specific recommendation. You can navigate back to the recommendations list by clicking on the upper left arrow (while holding the Ctrl key down). The **Recommendation History** page shows you for how long that recommendation has been raised over the past year and how its fit score has evolved. -![Fit score history for a specific recommendation](../../assets/images/aoe/powerbi-dashboard-fitscorehistory.jpg "Fit score history for a specific recommendation") +![Fit score history for a specific recommendation](../assets/images/aoe/powerbi-dashboard-fitscorehistory.jpg "Fit score history for a specific recommendation")
@@ -88,9 +88,9 @@ With AOE's Log Analytics Workbooks, you can explore many perspectives over the d The Recommendations workbook is the go-to report to start with your AOE-based Azure optimization journey. It reports on the optimization recommendations generated every week by both AOE and Azure Advisor, across the five pillars of the Well Architected Framework - Cost, Operational Excellence, Performance, Reliability, and Security. -![An overview of all your optimization recommendations](../../assets/images/aoe/workbooks-recommendations-overview.jpg "An overview of all your optimization recommendations") +![An overview of all your optimization recommendations](../assets/images/aoe/workbooks-recommendations-overview.jpg "An overview of all your optimization recommendations") -![An overview of your Cost optimization opportunities](../../assets/images/aoe/workbooks-recommendations-costoverview.jpg "An overview of your Cost optimization opportunities") +![An overview of your Cost optimization opportunities](../assets/images/aoe/workbooks-recommendations-costoverview.jpg "An overview of your Cost optimization opportunities") ### 🤝 Azure Commitments Insights @@ -104,36 +104,36 @@ For a complete Azure Reservations and Savings Plans performance analysis and pur Check [this blog post](https://aka.ms/AzureOptimizationEngine/commitmentsblog) for a complete description of each Workbook. -![Azure Benefits usage analysis with a comparison between Reservations and On-Demand/Savings Plan prices](../../assets/images/aoe/workbooks-benefitsusage-reservations.jpg "Azure Benefits usage analysis with a comparison between Reservations and On-Demand/Savings Plan prices") +![Azure Benefits usage analysis with a comparison between Reservations and On-Demand/Savings Plan prices](../assets/images/aoe/workbooks-benefitsusage-reservations.jpg "Azure Benefits usage analysis with a comparison between Reservations and On-Demand/Savings Plan prices") ### 📈 Costs Growing The **Costs Growing** Workbook reports on usage growth anomalies detected across multiple perspectives: subscription, meter category, meter sub-category, meter name, resource group, or individual resources. -![Costs growing anomalies](../../assets/images/aoe/workbooks-costsgrowing-anomalies.jpg "Costs growing anomalies") +![Costs growing anomalies](../assets/images/aoe/workbooks-costsgrowing-anomalies.jpg "Costs growing anomalies") ### 📖 Resources Inventory The **Resources Inventory** Workbook reports on the distribution of the most relevant Azure resource types (mostly IaaS) across different perspectives, including its historical evolution. -![Virtual Machines perspectives over time](../../assets/images/aoe/workbooks-resourcesinventory-vms.jpg "Virtual Machines perspectives over time") +![Virtual Machines perspectives over time](../assets/images/aoe/workbooks-resourcesinventory-vms.jpg "Virtual Machines perspectives over time") ### 🕵 Identities and Roles The **Identities and Roles** Workbook reports on Microsoft Entra ID objects (users, groups and applications) and their respective roles across the Entra ID tenant and Azure resources. For a more detailed analysis of this Workbook, check [this blog post](https://aka.ms/AzureOptimizationEngine/identitygovblog). -![Microsoft Entra ID/Azure Resource Manager principals and roles summary, with service principal credentials expiration](../../assets/images/aoe/workbooks-identitiesroles-summary.jpg "Microsoft Entra ID/Azure Resource Manager principals and roles summary, with service principal credentials expiration") +![Microsoft Entra ID/Azure Resource Manager principals and roles summary, with service principal credentials expiration](../assets/images/aoe/workbooks-identitiesroles-summary.jpg "Microsoft Entra ID/Azure Resource Manager principals and roles summary, with service principal credentials expiration") -![Privileged Microsoft Entra ID roles and assignment history](../../assets/images/aoe/workbooks-identitiesroles-rolehistory.jpg "Priviliged Microsoft Entra ID roles and assignment history") +![Privileged Microsoft Entra ID roles and assignment history](../assets/images/aoe/workbooks-identitiesroles-rolehistory.jpg "Priviliged Microsoft Entra ID roles and assignment history") ### 📚 Block Blob Storage Usage The **Block Blob Storage Usage** Workbook reports on the distribution of Block Blob Storage usage across different types of Storage Accounts, file structure, replication options, and tiering; allows for simulations of hot to cool tiering savings. -![Block Blob Storage usage analysis with Lifecycle Management recommendations](../../assets/images/aoe/workbooks-blockblobusage-standardv2.jpg "Block Blob Storage usage analysis with Lifecycle Management recommendations") +![Block Blob Storage usage analysis with Lifecycle Management recommendations](../assets/images/aoe/workbooks-blockblobusage-standardv2.jpg "Block Blob Storage usage analysis with Lifecycle Management recommendations") ### ✅ Policy Compliance The **Policy Compliance** Workbook reports on Azure Policy compliance across the whole tenant, with an historical perspective and also the ability to filter and group by resource tags. -![Policy Compliance state, with evolution over time](../../assets/images/aoe/workbooks-policycompliance.jpg "Policy Compliance state, with evolution over time") +![Policy Compliance state, with evolution over time](../assets/images/aoe/workbooks-policycompliance.jpg "Policy Compliance state, with evolution over time") diff --git a/docs/_optimize/optimization-engine/suppressing-recommendations.md b/docs/_optimize/optimization-engine/suppressing-recommendations.md index de9c19fee..c96d84af0 100644 --- a/docs/_optimize/optimization-engine/suppressing-recommendations.md +++ b/docs/_optimize/optimization-engine/suppressing-recommendations.md @@ -30,7 +30,7 @@ When working on the recommendations provided by AOE, you may find some cases whe In the Power BI report, if you drill through the details of a recommendation (Rec. Details page), you will find the Recommendation Id in the header. Copy this Id, by using the "Copy value" right-click menu option. You'll need this ID to call the Supress-Recommendation.ps1 script. -![Copying the Recommendation Id value from the Recommendation Details page in the Power BI report](../../assets/images/aoe/powerbi-recdetails-recommendationid.jpg "Copy the Recommendation Id value") +![Copying the Recommendation Id value from the Recommendation Details page in the Power BI report](../assets/images/aoe/powerbi-recdetails-recommendationid.jpg "Copy the Recommendation Id value") ## 🔕 Supressing the recommendation