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
Trying to determine if you have pressure in your buffer allocations can be difficult. Buffer cache hit ratio is an almost useless metric, so you need a mechanism to let you know if there’s a problem in that area. Read more
During a transaction, data is written to the log cache so that it’s ready to be written to the log file on commit, or can be rolled back if necessary. When the log cache is being flushed to disk, the SQL Server session will wait on the WriteLog wait type. Read more
What are custom metrics?
The Redgate 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 Redgate 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 Redgate 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.
Redgate Monitor is a SQL Server performance monitoring tool that gives you real-time and historical SQL Server performance data with alerts and diagnostics.
With its embedded expertise from SQL Server experts and MVPs, it gives you the information and advice you need to find and fix issues before users are even aware.
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
by Redgate Monitor Team | 6,311 views | Performance
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