In the last few posts on the managing database changes, we discussed how it is useful and what are the various benefits available. One of the core philosophies of the Database as a Source Code involves treating code for Database changes as source code. This is not limited to using a version control system like Git / Subversion / Mercury etc. but it also expands to other areas like designing the proper directory structure, making it scale ready for future changes, minimizing merge conflicts etc. In this blog post, we are going to discuss some of the practices used for organizing database changes when using Liquibase.
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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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With the arrival of the Sprint 154 updates, auditing has been introduced in the Azure DevOps. This has been a long standing demand from various enterprises (including Ours !). We wanted to observe activities and monitor changes that have occurred in the Azure DevOps across the Organization. It is in the preview phase as of this writing of this blog post, but it is very useful in the preview phase as well. In this blog post, we are going to see what is recorded in the Azure DevOps as part of the auditing, how we can access it and what we can do with the same.
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Over the last few years, adoption of Docker and Kubernetes has grown in leaps and bounds. Vast majority of developers is developing microservices and deploying them into containers. One of the most important aspect that people do not realize is that, the containers needs to be lightweight in nature. Also, while building containers, one needs to account for certain aspects like reducing build time while doing incremental builds, produce images in consistent ways, performing clean builds, maintain them properly, etc. To achieve all this, one needs to follow certain practices while writing Dockerfiles.
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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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