Abstract: Agile practices teach us how to deal with evolving applications but so often the data store is overlooked as a component of your application lifecycle. Database servers are monolothic, resource intensive and mostly viewed as set in stone. Encapsulating your database server in a container and your database in a storage container can dramatically lighten the load and make your database as agile as your model and other processes. And you can even use a serious enterprise class database like SQL Server this way. This session will show how to benefit from using a containerized version of SQL Server for Linux during development and testing. We'll also address concerns about data that needs to be persisted. You'll also get a peek at the DevOps side of this, including using images in your CI/CD process.
Learning Outcomes: - Running SQL Server for Linux in docker in development environment
- Script tests to spin up a running instance of SQL Server for test and then eliminate from memory
- Comprehend life cycle of moving database/data into production and then back to dev/test for realistic testing
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