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Azure Advisor provides personalized recommendations to help you optimize your Azure resources.
Azure Advisor provides personalized recommendations to help you optimize your Azure resources.
Azure Advisor analyzes your resource configuration and usage telemetry to provide recommendations that can help you improve the availability, security, and performance of your resources.
Azure Advisor analyzes your resource configuration and usage telemetry to provide recommendations that can help you improve the availability, security, and performance of your resources.
Azure Advisor analyzes your resource configuration and usage telemetry to provide recommendations that can help you improve the availability, security, and performance of your resources.
The tool uses machine learning to analyze historical data collected by Azure Storage Queues (ASQ) and other services in order to identify patterns that indicate issues with workloads running on these resources. Once it’s identified an issue, Azure Advisor recommends actions that will resolve the issue. These recommendations may include:
Enabling or disabling features at the VM level or application level;
Changing job scheduling or batch processing parameters;
Recommendations are based on proven practices for running the most common workloads on Azure.
Azure Advisor uses telemetry data to understand usage patterns. It then recommends best practices for running the most common workloads on Azure, with a focus on running those workloads in a cost-effective manner.
The recommendations are based on proven practices for running the most common workloads on Azure: web apps and services such as SQL, SharePoint Online and Dynamics 365 Business Central; database engines such as MySQL or PostgreSQL; cloud services such as Google Cloud Platform (GCP) or AWS Elastic Compute Cloud (EC2); databases supported by Microsoft SQL Server or MySQL Connector/OData Protocol (MOSDN).
For example, a recommendation is made if a virtual machine (VM) is underutilized or is missing an important security update.
For example, a recommendation is made if a virtual machine (VM) is underutilized or is missing an important security update. This helps you improve availability, security and performance of your resources.
Recommendations are made based on proven practices for running the most common workloads on Azure. The recommendations are designed to help you make more informed decisions about how to run your VMs in the cloud so that they can be used as efficiently as possible while still providing high availability and security across your applications
You can also view recommendations for your entire subscription by selecting the Recommendations card from the subscription overview page in the Azure portal.
You can also view recommendations for your entire subscription by selecting the Recommendations card from the subscription overview page in the Azure portal.
Azure Advisor recommendations are based on best practices and lessons learned from running a large number of VMs and services across their lifecycle.
The recommendations help you improve availability, security, performance of resources by helping you set up an environment that is tuned to meet your needs without over-provisioning or under-provisioning resources.
With Azure Advisor you can easily get personalized guidance and insights based on best practices across your resources in a single subscription to help reduce deployment risk and optimize performance.
Azure Advisor provides personalized guidance and insights based on best practices across your resources in a single subscription to help reduce deployment risk and optimize performance.
Azure Advisor analyzes your resource configuration and usage telemetry to provide recommendations that can help you improve the availability, security, and performance of your resources.
Conclusion
You can also use Azure Advisor to get personalized recommendations based on the average latency of your requests. This is useful when you have applications that need to co-locate services on the same virtual machines or host instances in different geographical regions.
Azure Advisor is a service that provides personalized recommendations to optimize Azure resources for high availability, security, performance, and cost.
Azure Advisor analyzes the configuration and usage data of your Azure resources and provides personalized recommendations based on best practices and Azure services.
Azure Advisor provides recommendations for high availability, security, performance, and cost optimization.
You can access Azure Advisor through the Azure portal or by using Azure Advisor REST API or Azure Advisor PowerShell cmdlets.
Azure Advisor is available for most Azure services, including virtual machines, storage, SQL databases, and more.
Azure Advisor provides recommendations based on the analysis of the latest data for your Azure resources. However, it may take a few hours or days to provide updated recommendations based on changes made to the configuration and usage of your resources.
Yes, you can configure Azure Advisor to send you email notifications when new recommendations are available or when existing recommendations change.
Azure Advisor is available for free to all Azure customers.
You can use the Azure portal or Azure PowerShell to act on Azure Advisor recommendations. You can also integrate Azure Advisor with Azure Automation to automate the execution of certain recommendations.
Yes, you can exclude specific resources or resource groups from Azure Advisor recommendations by using the Azure portal or Azure Advisor REST API.
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