Manage Passwords in Linux Ecosystem with Pass Utility

Password based authentications are very common. However storing and securing passwords is an hassle. There are already too many offline and online only services, which does this work for you. Others are more feature-rich and offer lot of other features. If you work in an offline (or air-gap, disconnected from internet, etc) environment, you can use a simple open source utility called pass. It can be used to store each password as a separate file with gpg encryption. It is CLI based, but there are GUI extensions available and has a lot of support in the community.

Also with git, you can choose to sync the encrypted passwords with internal source repos as well, so that you can get all benefits of gitops as well.

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Storing and Managing Terraform files as Git Repository

This is the 7th part in the series of blog posts on managing the Azure DevOps using Terraform. You can find the series index here. Although this is the one of the part in the series, this can also be a completely independent post in itself. In this post, we’ll be using a Git repository to store the Terraform code files and discuss the best practices around it. This aligns with one of the practices in the Infrastructure as Code (IaC) framework and somewhat aligns with what is now a days known as GitOps framework. We’ll not go into details of if GitOps is suitable for Terraform or not into this post.

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Version Control Practices for Managing Database Changes for Liquibase

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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Scale your Git workflow with Git hooks – 2

In our previous post, we discussed what are git hooks, how to install git hooks ,few of the local git hooks and custom hooks. This post is continuation of the same and we are going to discuss more types of git hooks and their customization.

Post-Checkout git hook

The post-checkout hook works a lot like the post-commit hook, but it is called whenever you successfully check out a reference with git checkout.
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Scale your Git workflow with Git Hooks

Git hooks are a very useful feature in the git. Git hooks are scripts that you can place in a hooks directory. They are triggered every time an specific event occurs in a Git repository. They let you customize Git’s internal behavior and trigger customizable actions at key points in your CI/CD and git workflow.

Some of the common use cases include to encourage a commit policy, altering the project environment depending on the state of the repository, to trigger continuous integration workflows before and after commits, etc. However since scripts can be written as per the requirements at hand, you can use Git hooks to automate or optimize virtually any aspect of your development workflow.
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Personalize Git Configuration for Better Productivity

In one of the previous posts at here, we discussed how we can use git aliases to improve the git experience. However, the personalization is not limited to setup of few command aliases. In this post, we’ll discuss how we can modify git configuration for better productivity and experience further. You will mostly need to do these changes per machine only once and they’ll stick around between upgrades. However, you can modify them later at any point, in case you want to.
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Checkout only selected Paths from Git Repository

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.
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Prevent the Continuous Integration build in Azure Pipelines after pushing commit

When configuring your Build Definitions on Azure Pipelines or on Azure DevOps server, you canĀ configure a Continuous Integration (CI) build. A CI build runs for every checkin or commit that you make to source control. This allows you to start an automated process that for example compiles and deploys your build. This is a very useful process and it should be ideally setup in the above way. However there are times when you do not want the check-in to trigger a build at all. Read More »