Azure SQL Analytics solution – Public Preview


Microsoft Azure SQL Database is a scalable relational database service that provides capabilities that are familiar to SQL Server to applications that run in Azure. Azure SQL Analytics, which part of OMS Insight and Analytics, collects and visualizes the important SQL Azure performance metrics that enable users to easily create custom monitoring rules and alert on these rules under defined scenarios. The solution, now in public preview, enables you to monitor across multiple Azure subscriptions, resources and elastic pools. More importantly, you can identify issues at each layer of your application stack.

By using the Azure SQL Analytics solution, you can capture metrics (across subscriptions and elastic pools) from Azure SQL Database and elastic pools and visualize them in Operations Management Suite (Log Analytics). This solution takes advantage of Azure Diagnostic metrics and Log Analytics views to present data about all your instances of Azure SQL Database and elastic pools in a single log analytics workspace.

Azure SQL Database and elastic pools in a single log analytics workspace

Prerequisites

  • Azure subscription

If you don’t have one, you can get a free Azure account.

How do I get started?

  1. In the Azure portal, click the Marketplace tile, click Monitoring + Management, and search for Azure SQL Analytics, and then click Azure SQL Analytics in the search results.
  2. Click the Create button to start the configuration wizard in the Azure portal and configure the solution.

The Create button

  1. Follow the steps in the UI to start the installation and configuration of this solution.

Support for more than  one Azure subscription (Advanced scenario)

To support multiple subscriptions, use the PowerShell script in the Enable Azure resource metrics logging using PowerShell blog post. Simply provide the workspace resource ID as a parameter when you execute the script to send diagnostic data from resources in one Azure subscription to an OMS workspace in another Azure subscription.

Example

PS C:\> $WSID = "/subscriptions/<subID>/resourcegroups/oms/providers/microsoft.operationalinsights/workspaces/omsws"

PS C:\> .\Enable-AzureRMDiagnostics.ps1 -WSID $WSID

Analyze data and create alerts

The solution ships with a handful of useful queries to get started analyzing data that you find when you go to the solution view and scrolling to the far right.

Queries in the solution view

We’ve provided a few alert-based queries in the list that you can use to alert on specific thresholds for both Azure SQL Database and elastic pools. To configure an alert for your OMS workspace:

  1. Go to http://mms.microsoft.com.
  2. Authenticate to the OMS workspace that you have configured for this solution.
  3. Open the solution view for Azure SQL Analytics in your OMS workspace.
  4. Scroll to the far right, and select the query on which you want to create an alert.

Selecting a query

  1. Select alert from the list of options.

Selecting alert from the list of options

  1. Configure the appropriate properties and the specific thresholds.

Example

Configuring properties and thresholds

One of the most useful queries that you can perform is to compare the DTU utilization across all Azure SQL Elastic Pools across all your subscriptions. Database Throughput Unit (DTU) provides a way to describe the relative capacity of a performance level of Basic, Standard, and Premium databases and pools. DTUs are based on a blended measure of CPU, memory, reads, and writes. As DTUs increase, the power offered by the performance level increases. For example, a performance level with 5 DTUs has five times more power than a performance level with 1 DTU. A maximum DTU quota applies to each server and elastic pool.

By running the following query, you can easily tell if you are underutilizing or over utilizing your SQL Azure elastic pools.

Type=AzureMetrics ResourceId=*"/ELASTICPOOLS/"* MetricName=dtu_consumption_percent | measure avg(Average) by Resource | display LineChart

In the following example, we can clearly see one elastic pool has a heavy spike near 100% DTU.  We can then use this information to troubleshoot potential recent changes in our environment by using Azure Activity logs.

Example of an elastic pool that has a heavy spike near 100% DTU

Thank you!

We hope you find this solution useful to help you to gain more insights into your Azure SQL environments. Your feedback helps drive innovation in our solutions.

Jim Britt
Senior Program Manager

 

 

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