After we successfully introduced a database development strategy in my previous blog post series, Getting Started With Database Projects & Azure DevOps , we can look at how to introduce a database deployment automation strategy using Database Projects and Azure DevOps Pipelines.

As a starter, we will first be implementing a build automation process and in future blog posts, we will go through the different ways of deployment to different environments. On top of that, we will also discuss the differences between SQL Server and AzureSQL database deployments.

Quick Overview

Prerequisite

Step-by-step Example

Build Pipeline First Execution

Trigger Build pipeline when a new change is identified

Help: I can’t run my Build pipeline

Help: Classic Editor option not available

What’s Next?

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Automate your Database Builds - Using Azure DevOps Pipelines - Olivier Van Steenlandt

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Automate your Database Builds – Using Azure DevOps Pipelines is a process for automating the building of a database using Azure DevOps Pipelines. This process can be used to quickly deploy a database to any environment, such as a test, development, or production environment. The process starts with creating a pipeline in Azure DevOps that will define the steps for the database build.

This could include tasks such as creating the database, adding tables, inserting data, and running any required scripts. Once the pipeline is created, it can then be run on demand or triggered automatically by certain events, such as a code commit or a version release. By automating the database build process, it ensures consistency and accuracy, while also saving time and resources.