This is the 5th post in the series of blog posts on managing Azure DevOps using the Terraform. You can find the series index here. In this blog post, we’ll learn to define variables and variable groups within the Azure DevOps as well as creating a Build pipeline, both using Terraform. We’ll be building onto our previous code where we ended up creating a git repository in the Azure DevOps Project. Although going through previous posts is not required to understand the concepts explained here, but its good to have a look because we’ll be referring parts of code from previous posts.Read More »
In most of the Organizations, One would need certain approvals before a build can be promoted to one of the release environments. In Azure DevOps, it has always been easy to configure the approvers by configuring the pre-deployment settings in the stage. However, it was not possible to do it for the YAML based pipelines up until now. As we discussed in our previous blog post on how to write multi stage pipelines, we also discussed about the environments. Environments are a very new feature and Read More »
In our previous series of blog posts, we discussed what is Liquibase and how we can leverage Liquibase to manage database changes and associated functionality. We have seen and discussed various commands and attributes available. However we have not discussed putting everything together and creating a multi stage pipeline using some sort of CI/CD tool like Azure DevOps, Jenkins, TeamCity etc. The focus of this blog post will be to create a multi stage yaml pipeline for deploying database changes using Maven, Liquibase and Azure DevOps. The target environment will be Azure PostgreSQL for this post’s purposes, but it can be any target database in accordance with your needs.
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Until recently, Azure DevOps had offered separate build and release views for its users. This was a little different from pipeline features in other CI/CD tools like Jenkins, where if you build a pipeline, it is a single unified experience. With recent update, they have released unified experience for the Multi Stage Pipelines. Now one can use a unified YAML experience and configure Azure DevOps pipelines to do CI, CD, or CI and CD together. This not only allows to control the build configuration as part of the source code but releases as well. In this blog post, we are going to create and work with the same.
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One of the new exciting features introduced in Azure DevOps updates is the introduction of ‘az pipelines’ command group. Microsoft has been putting some efforts in writing YAML based pipelines over the last few months and has also recently introduced the ability to do Continuous Integration or Release or define both in one single pipeline. Since Azure Pipelines can now be managed at the command line, you can use it to further introduce the automation that you have created for your organization. In this blog post, we’ll learn how to use ‘az pipelines’ commands to define, initiate and manage Azure pipelines at the command line.
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Azure DevOps has always provided the facility of defining Scheduled pipelines using UI Editor. With the push of Sprint 137, this functionality is now moved to the Cron Syntax. (And not Cron-like Syntax :)) Not only the cron syntax is more prominent in the Software world, it also provides more granularity than the UI editor. Also, you can define multiple schedules simultaneously for a single pipelines, allowing you even more flexibility. Not to mention, you can also manage and track build schedules as part of the code. In this blog post, we’ll learn about the same.
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While debugging the CI builds, sometimes it becomes necessary to take a peek at the values of the variables that are being passed to the environment used. It helps in understanding what is going on and why some steps are not working as desired in the build pipeline. There are different commands to check the environment variables in different types of agents, mostly based on the underlying Operating System. However, if you happen to use the Microsoft Hosted agents for your build pipelines, we can use one single line of code to print all environmental variables across all agents.
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In previous post, we saw how we can install and configure Liquibase. In this blog post, we’ll see how we can leverage Liquibase to deploy changes on the Microsoft SQL Server.
Download JDBC driver for SQL Server
For this, we first need to download the JDBC driver for the SQL Server. This can be downloaded from the Microsoft using this link. The download is available in both .exe format for Windows and .tar.gz format for Mac OS X or Linux. Read More »