Optimize Azure SQL Performance

Monitor, analyze, and optimize Azure SQL performance

Quickly locate issues in your Azure database environment

Issues can pop up in your database environment at any time—let’s face it, none of us work in a static environment. With 24/7 Azure monitoring, SolarWinds® Database Performance Analyzer (DPA) is built to identify spikes in wait time behavior in a multi-dimensional way, making it easier to zero in on what’s causing the bottleneck and more easily understand where it’s coming from.

Powered by machine learning, DPA for Azure SQL is built to watch for anomalies in behavior patterns, allowing you to see a problem’s magnitude and receive an alert based on sensitivities you can define.

Analyze Azure SQL server performance for root causes

The Azure SQL database monitoring tool in DPA can help you find the biggest Azure SQL server performance issues in your environment—then easily drill into the analysis DPA provides to determine what’s causing the issues. Use correlated resource metrics for deeper insight into utilization issues.

The Azure SQL performance monitoring tool in DPA can offer detailed blocking and deadlock analysis to quantify the impact blocking has on end users and visualizes the blocking tree to see what sessions and queries were involved—allowing you to see what caused the issue and who the victims were. Query-level performance analysis brings available data into one view to help you answer, “Why is this query slow now?” and much more.

Use detailed data to optimize your databases

Finding and analyzing Azure SQL performance issues are often just the start. The ultimate goal of Azure SQL database monitoring is to use these performance insights to tune the database and reduce the effects of issues moving forward.

DPA is built to call attention to potential areas of improvement, pointing you in the right direction as you begin to optimize your databases. DPA can monitor real workloads to highlight queries going after more data than they need. DPA then aggregates the queries in a table, allowing you to see the best tuning and indexing opportunities at a holistic level. Often, simple changes have the biggest performance impacts, but you must know where to look.

Take advantage of table-tuning best practices

Following table-tuning best practices is an effective way to increase your Azure SQL server performance. But how do you know if your database tables are following best practices when you have many tables associated with your Azure SQL database?

You can more easily evaluate your tables and indexes against a set of SQL Server performance tuning best practices using DPA, including flagging and addressing common issues like foreign key not indexed, overlapping indexes, wide index, no defined indexes, or no primary key. DPA is also designed to help you quickly identify Azure SQL performance issues in urgent need of attention.

Correlate database performance with VM performance

Leverage the advanced and intuitive charting features in DPA to map performance issues to key virtual machine (VM) metrics and determine the impact of VM performance, including VMware vSphere performance, as it relates to your Azure SQL database. With this additional insight into Azure SQL service performance, you can resolve problems with database virtualization faster.

Get More on Azure SQL Database

Do you find yourself asking…

Efficiently maximize Azure SQL database performance

Database Performance Analyzer

  • Access query and table tuning advisors
  • Continuously monitor active sessions
  • Isolate the root cause of complex issues with multi-dimensional analysis

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