Migrate from Linux to Windows with Availability Groups
This article describes the process to create a read-scale cross-platform SQL Server Availability Group where the primary is Linux and the secondary is Windows.
2025-07-23
446 reads
This article describes the process to create a read-scale cross-platform SQL Server Availability Group where the primary is Linux and the secondary is Windows.
2025-07-23
446 reads
This article shows the final step of an availability group creation, specifically for a distributed clusterless one.
2025-07-14
5,302 reads
2025-05-05
467 reads
2025-02-10
474 reads
2025-01-27
460 reads
2025-01-13
1,995 reads
Once Windows Server Failover Clusters have been set up, we can set up Availability Groups in SQL Server. This article will focus on setting up Basic Always-On Availability Groups in SQL Server Standard Edition.
This facilitates High Availability in SQL Server Standard, with three levels of availability and failover:
Asynchronous commit with manual or forced failover,
Synchronous commit with manual or forced failover,
Synchronous commit with automatic failover.
2024-06-05
16,758 reads
We experienced several unplanned outages and failovers on our SQL Server Always On Availability Groups. We want to know the root cause to prevent them from happening in the future. How do we identify the root causes of unplanned Availability Group outages and failovers?
2024-05-22
2024-04-19
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2024-04-03
751 reads
By Steve Jones
I caught this interesting item over on Pinal Dave’s blog: Eleven Interview Questions that...
By Hemantgiri
I use color-coded connections in SSMS to distinguish Production, Pre-Production, UAT, and Development. But...
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I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:
CustomerID CustomerName PreferredName 1 Steve Steve 2 Andy Andy 3 Brian Brian 4 Allan Allan 5 Devin Devin 6 Steve Steve 7 Sally SallyI want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT
CustomerID,
CustomerName,
PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName); See possible answers