I’m excited for Redgate’s new SQL Change Automation plugin for SQL Server Management Studio (SSMS).
SQL Change Automation lets DBAs and developers use a migrations-first approach to create precise scripts to apply changes to your database. If you’re curious about what I mean by “migrations-first”, read more about this approach, and how it compares to a state-first approach here.
The Accelerate: State of DevOps Report 2019 has just been published. This report is the latest in six years of research. With more than 31,000 survey responses, Accelerate is the longest running study of DevOps in academia or industry.
In the 2019 edition, research continues to show that DevOps drives business value: high performers at DevOps are “twice as likely to meet or exceed their organizational goals.” While this isn’t a new finding, it’s very important that this continues to be true: why invest in improving at DevOps if it doesn’t drive business value?
This is the first in a series of posts about simple things that I had a hard time figuring out in Azure DevOps services.
It can be very useful to enable Continuous Integration for multiple folders in your DevOps pipeline: say, for every branch created under releases/ or features/. But configuring this can be strangely confusing!
Sometimes you keep a classic around.
Like a lot of developers and database administrators, I do a fair amount of short-term problem solving during the course of my normal work week.
Building your database code is an essential practice to ensure that it compiles from source and that dependencies are met. But things can get tricky when you have objects in some databases which is dependent upon objects in other databases: or even circular dependencies.
You’re a DBA, and your development team is all-in on doing DevOps, and they want to include the database. Should your DBA team limit the permissions or options for automation? Or should you instead re-think how your two teams work together?
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