Phil Factor demonstrates the performance problems that overuse of ad-hoc queries can cause and then how SQL Monitor can warn us when they are the cause of these problems on your SQL Servers, using built-in metrics such as SQL Compilations/sec metric and Batch Requests/sec. Read more
This article uses the Spectre/Meltdown bugs as means to demonstrate how you can use a tool like SQL Monitor to assess the impact of patching on the throughput and performance of your SQL Servers. Read more
Jon Hayman shows you how to set up SQL Monitor to monitor Azure-based clustered SQL Server instances right alongside your on-premise clusters. Read more
The SQL Monitor team are hard at work, improving how you manage your alerts. We’re currently researching whether the ability to see similar alerts grouped together (akin to the threaded email view you see in Gmail or Outlook) might address the common problems we hear on research calls, and on the SQL Monitor UserVoice page. Read more
This quick tip illustrates SQL Monitor's built-in set of Performance Rules for static code analysis. These rules are designed to highlight SQL syntax that could potential cause performance problems, and so indicate ways to improve the overall quality and performance of the workload, over time. Read more
Sudden performance issues in SQL Server can have many causes, ranging all the way from malfunctioning hardware, through to simple misconfiguration, or perhaps just end users doing things they shouldn't. But one particularly common culprit is when deployments go wrong: I don't know a single DBA who hasn't been burned by a bad release. Read more
Jon Hayman reviews how the metrics available in SQL Monitor can help you diagnose problems that might come from SQL Server running in a virtual environment. Read more
How to monitor any SQL job that runs on the SQL Server Agent so that you're alerted quickly if SQL Agent goes offline, or if a job fails, or fails to start, or is running slow. Read more
How to use SQL Monitor to identify an unusual set of behaviors on the server, then narrow down the cause of the behaviors to a particular query. Within that query we have the starting point for tuning the query to get better performance. Read more