Building A SQL Server Dockerfile

Andrew Pruski builds up a custom dockerfile with his SQL Server configuration and custom databases:

And there you have it. One newly built SQL container from a custom image running our databases.

Imagine being able to spin up new instances of SQL with a full set of databases ready to go in minutes. This is main advantage that container technology gives you, no more waiting to install SQL and then restore databases. Your dev or QA person can simply run one script and off they go.

I really think this could be of significant benefit to many companies and we’re only just starting to explore what this can offer.

The best part is that it’s quite easy to do, meaning you could set up a guaranteed clean QA image for each continuous integration deployment and know that some process oddity didn’t fail to clean up after itself and thereby wrecked the automated build process.

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Docker Commands For DBAs

Marek Masko has some commands which will help DBAs get familiar with Docker: Stop container To stop container: docker stop <container ID> To stop all running containers: docker stop $(docker ps -a -q) Most of the commands are straightforward but it’s nice to have a reference guide.

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Deploying SQL Server Code Using Jenkins

Chris Adkin has started a series on continuous integration of SQL Server databases with Jenkins and Docker: The mainstay of my presentation material this year has been my deck on continuous integration, Docker and Jenkins. For people who have not had the chance to see this presentation or have seen it and wanted to get […]

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