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. Continue reading “Using Liquibase to manage and deploy changes on SQL Server”
For most of the Organizations, it is almost unthinkable to work in a software project without some kind of version control. The benefits of tracking and retaining an incremental history of the code are well understood and documented. However most of the time this has been limited to the application code and not the accompanying databases. This has remain a concern due to the many complexities and cultural issues associated with how the databases operates and their various versions. However, it is not just limited to keep database schema and data changes as part of the version control. Continue reading “Include Databases in CI/CD pipeline using Liquibase”
There are times when you would need to do an offline installation of the Jenkins. This may be to meet certain requirements of the workplace that you are operating in. I came across this issue some time back and internet is woefully out of articles for proper steps on this one. In this blog post, we’ll learn how to do an offline installation of Jenkins.
Install OpenJDK Java
First, we need to check what version of java is installed on the machine using:
Continue reading “Install Jenkins in offline mode on CentOS / RHEL”
In some organizations, its a common practice to put everything related to one project in one single git repository. Over the time, as the project goes on, more and more files keep getting added and it may reach a large size over the time. In such a case, you would like to check only a particular path, so that you can reduce the checkout time. It also make sense to checkout only selected paths, when you are running a continuous integration build, so that you can reduce overall build time. Even though git is very fast, but small improvements can really add up to be significant.
Continue reading “Checkout only selected Paths from Git Repository”
Since in last post, we discussed on how to run Azure Pipelines agents as docker containers and configure them accordingly, the next step would be to run them on the Kubernetes platform. This kubernetes cluster can be on-premise and/or cloud and could be self managed or managed by the cloud service provider itself.
One of the reasons you may want to run them on Kubernetes is because you want better utilization of your kubernetes cluster. Another reason might be to leverage your existing knowledge of the kubernetes platform and work on it. Another reason would be to not use Microsoft hosted agents, as by default you would get only 1800 minutes of agent time to utilize, for free accounts.
Continue reading “Run Azure DevOps Private Agents in Kubernetes Clusters”