Five SQL Server experts have brought their collective years of experience working with and maintaining SQL Server data systems to identify the four strategies required for a successful estate-wide SQL Server monitoring solution.
2019-08-26
Phil Factor creates a simple custom metric to track the number of sessions that have recently done a read or write on a database. Having established a baseline for the metric, you'll be able to spot, and investigate the cause of, any wild deviations from normal behavior.
2019-04-25
A monitoring tool must provide us with an understanding of the often-complex performance patterns that databases exhibit when under load, so that we can predict how they will cope with expansion or increase in scale. It must also helps us spot the symptoms of stress and act before they become problems that affect the service, and understand better what was happening within a database when an intermittent problem started.
2019-04-17
Kathi Kellenberger introduces the new Estate monitoring pages in SQL Monitor 9, and explains how they will help DBAs monitor and safeguard the security, stability and availability of all servers in their care.
2019-04-18 (first published: 2019-04-08)
Learn about deadlocks and how you might better troubleshoot the issues involved.
2016-04-12
5,177 reads
This metric is useful if you want to know exactly how much physical space a particular table is taking up, including the size of its indexes.
2015-07-21
2,899 reads
Anthony Nocentino, experienced Enterprise Architect and Friend of Redgate, explains the challenges presented by monitoring Availability Groups and shows you a technique for monitoring AG replication latency with Redgate SQL Monitor and its Custom Metric functionality.
2015-07-07
2,913 reads
This metric measures the amount of memory used by the total number of ad-hoc queries that are currently in the plan cache. If the value is high, it indicates memory is being wasted by storing the execution plans of queries that will never be run more than one time.
2015-06-25
2,334 reads
This metric shows Writelog wait time in ms, per elapsed second. Writelog wait types occur when the log cache is being flushed to disk. If this happens all the time, it may suggest disk bottlenecks where the transaction log is stored.
2015-06-09
2,958 reads
This is a good 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.
2015-05-26
6,171 reads
By Steve Jones
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