This post is part of TSQLTuesday #140, “What have you been up to with containers?”
Disposable databases are indispensable for software developers, both for initial development work and in automation pipelines. Containers pair exceptionally well with temporary databases and provide a lightweight mechanism to spin up an environment on demand.
I believe that language matters, and that it is worth our effort to move away from language associated with slavery and racism whenever possible.
I used to make fun of YAML because I was scared of it. I still make fun of YAML, but I’m not scared of it anymore now that Rob Sewell showed me how to avoid having to write it myself.
When implementing any kind of automation for database deployments, it’s important to implement safeguards for your production environment. This is needed even in the best conditions when team members collaborate well and there is a high level of trust, for a very simple reason: accidents happen easily!
In this 70 minute livestream recording, I kick the tires of a fresh new Azure DevOps demo environment showing Redgate’s Hybrid Model for SQL Source Control and SQL Change Automation.
One of most the fun things about working as an Advocate at Redgate is getting to help clients determine their preferred workflow for database DevOps.
Teams often have unique requirements and are using different combinations of tooling, so figuring out the best way to accomplish what they need typically involves leveraging what I already know, collaborating with my coworkers and the client to generate ideas, researching and prototyping solutions, and then getting feedback from everyone.
When people begin applying DevOps principles to database development using Redgate tooling, often one of the first steps in the process involves getting database code into version control. Questions naturally come up about how to manage the flow of changes to database objects from development into production once changes begin occurring.
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