This metric measures the percentage of time spent waiting for CPU resources to service a thread. A high signal wait time for all wait types may indicate that CPUs are being overused, forcing tasks to wait for SQL Server processes. Read more
This is a general indicator of performance problems. Index fragmentation can affect the rate of return for moderate to large tables. If multiple indexes are fragmented throughout the database, then an index maintenance strategy needs to be evaluated. Read more
This is a general indicator of performance problems. High stall times indicate I/O problems, which can be attributed to busy physical disks or queries that return large data sets to the client. Read more
This metric measures the amount of memory used in the buffer cache by the largest object (based on the number of pages). It checks the sys.dm_os_buffer_descriptors to identify the object, and returns the relative percentage used. Read more
What are custom metrics?
The SQL Monitor custom metric feature lets you run T-SQL queries against your SQL Servers to collect specific data. You can analyze and receive alerts about your custom data just like everything else SQL Monitor collects.
But what if you don’t want to write your own queries? No problem. Redgate has brought together a range of quality custom metrics for you to use in SQL Monitor, which are all are free, tried and tested. You can install straight away, and use the resources on this site to help you write your own.
This custom metric measures the total database file size (data files and log file combined). An increase in this metric signals that a database was grown. When not done by the DBA, this is an autogrow. Excessive autogrow events should be prevented as this can result to file fragmentation. Try to manually grow files before […] Read more
This metric will display the total number of active backups and restores on a server. This can be used to correlate with other metrics to explain why disk IO and CPU usage could have changed. Read more