![]() ![]() In a Database Continuous Integration (CI) process, we establish a working version of the database quickly, integrate subsequent changes as frequently as possible, and run tests each time to prove that the database still works. Step 3: Automating your build using Azure DevOps. ![]() Step 2.1 (optional): Writing a build script using SCA and PowerShell.Step 2: Linking a database to source control.Step 1: Create a new Azure DevOps project and clone the repository.This article explains how to set up a SQL Server source control and database continuous integration (CI) process from scratch, using Azure DevOps, Git, PowerShell and Redgate tools, in three steps: Originally for Redgate, later for DLM Consultants, Alex has worked with clients on every continent except Antarctica – so he’s keen to meet anyone who researches penguins.Ī keen community member, he co-organises SQL Relay, is the founder of Speaking Mentors and has been recognised as a Microsoft Data Platform MVP since 2017. He’s most proud of helping Skyscanner develop the ability to deploy 95 times a day. Alex Yates has been helping organisations to apply DevOps principles to relational database development and deployment since 2010. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |