![]() ![]() Some DMVs return the current value of a metric or setting (e.g., the current size of the transaction log in megabytes). Because DMVs are displayed as virtual tables, they lend themselves to both ad-hoc and automated querying. SQL Server tracks data about its own health and performance, and makes this information available through dynamic management views (DMVs). In this section, we’ll show how T-SQL queries can be a powerful tool for SQL Server monitoring, whether you’re using dynamic management views, built-in functions, stored procedures, or system data collection sets. And since they are executed and return data just like any other database query, you can easily incorporate them into a homegrown automated monitoring solution. You can run them with a graphical management tool like SSMS or a command line utility like sqlcmd. You can monitor SQL Server by using its own query language, T-SQL, to gather metrics. In this post, we’ll explain how to use SQL Server monitoring tools to gain a comprehensive view of your database infrastructure. You might opt for the real-time graphs of the former versus the ability to script the latter. For example, you can use either the Performance Monitor or T-SQL queries to obtain metrics from SQL Server’s performance counters. Some of these tools report the same metrics, and you may prefer one interface over the other. ![]() SQL Server monitoring tools can help you access the metrics we discussed in Part 1. ![]() Performance Monitor: Correlate metrics from SQL Server with data from your Windows hosts.SQL Server Management Studio (SSMS): Get real-time views into your system, diagrams of T-SQL queries, and on-demand reports.T-SQL queries: Use SQL Server’s query language to gather internally collected data.Here we’ll survey SQL Server monitoring tools within built-in features and commonly used applications, including: Making the most of these features requires that you get real-time insights into the health and performance of SQL Server. You can, for example, adjust the way your query batches are compiled, configure your buffer cache to flush at different intervals, and create memory-optimized tables. In Part 1 of this series, we covered a number of features that SQL Server provides for optimizing its resource usage. ![]()
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