Moving to public cloud such as Azure, AWS or even private cloud services you need to be tracking costs and seeing if you are “effective”. What is the best way of doing this with Microsoft Azure?
Tracking Costs in Microsoft Azure via Tags
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Author Archives: blobeater
Installing SQL Server 2019 on Azure VM
Unfortunately, this is not an on-premises SQL Server install because I do not have the right operating system available for SQL Server 2019, which includes the below:
- Windows 2016 +
- Red Hat 7.3-7.6
- SUSE v12 SP2+
- Ubuntu 1.8
So, I am going to use my clicking skills and spin a Machine up in Azure utilizing the market place, so I can get an image of SQL Server installed on the VM already.
Azure SQL Database – Error Logs?
Ok, so Azure SQL doesn’t really have its own error log based somewhere on a machine within \\MSSQL\Log directory but the closest thing you will get is a system catalog view called sys.event_log which is very useful. It will get you information about all sort of event types such as:
- Successful connections
- Failed connections
- Throttling issues
- Blocked by firewall attempts
- Connection termination
Azure SQL DB – An instance-specific error occurred while establishing a connection to SQL Server.
The full message when connecting to your Azure SQL Database is:
Reason: An instance-specific error occurred while establishing a connection to SQL Server. The public data endpoint on this server is not accessible. To connect to this server, use the Private Endpoint from inside your virtual network. (.Net SqlClient Data Provider)
SQL Server Agent for Azure SQL DB?
I always wanted a way to schedule commands within Azure SQL Database. Personally, for me, the go to standard is the functionality of SQL Server Agent. Obviously, this is not possible out of the box but I have been using an on-premises SQL Server instance (within a specific vnet that is mapped to the logical Azure SQL server) with a linked server connection setup (with dedicated logins) to Azure SQL Database to run some code at a specific time to scale up (and down) my database dependent on peak hours.
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