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Git Developer Guide
About
  • Overview
  • Scope of this book
  • Table of Content
  • 🐢Introduction to Version Control
    • What is Version Control?
    • Overview of git and it's benefits
    • Setting up Git on Different Platforms
  • 🍼Git Fundamentals
    • Initialising a new Git repository
    • Understanding the Git Workflow
    • Committing Changes and Writing Good Commit Messages
    • Viewing and Navigating Commit History
    • Git Basics - Practice Scenarios
      • Initialising a Git Repository
      • Committing Changes
      • Exploring Commit History
      • Amending and Undoing Commits
  • 🦕Working With Git
    • What is Git Branch?
    • Creating and Switching Between Branches
    • Merging Branches and Resolving Conflicts
    • Best Practices for Branch Management
    • Git Workflows
    • Git Log
    • Git Stash
    • Working with Git - Practice Scenarios
      • Creating and Switching Between Branches
      • Merging Branches and Resolving Conflicts
      • Branching Strategies in a Team Project
      • Rolling Back to a Previous Version
      • Experimenting with Feature Branches
      • Working with Stash
  • 🤝Working with Remote Repositories
    • Cloning a Repository from Remote
    • Pushing and Pulling Changes to and from Remote Repositories
    • Collaborative Workflows - Forking, Branching, and Pull Requests
    • Resolving Conflicts in a Collaborative Environment
    • Collaborating with Git - Practice Scenarios
      • Cloning a Remote Repository
      • Pushing and Pulling Changes
      • Collaborative Workflow with Forking and Pull Requests
      • Resolving Conflicts in a Pull Request
  • 🏆Advanced Git Features
    • Aliases and Custom Configurations
    • Working with Tags and Releases
    • Rewriting Commit History with Interactive Rebase
    • Utilising Git Hooks for Automation
    • Advanced Git Features - Practice Scenarios
      • Creating Custom Git Aliases
      • Working with Tags and Releases
      • Rewriting Commit History with Interactive Rebase
      • Using Git Hooks for Automated Testing
  • 😎Git in Real-World
    • Managing a Project with Multiple Contributors
    • Integrating Git with Continuous Integration, Continuous Deployment (CI, CD)
    • Versioning Assets with Git LFS (Large File Storage)
    • Deploying a Web Application using Git
    • Git In Real World - Practice Scenarios
      • Managing a Project with Multiple Contributors
      • Integrating Git with CICD Pipelines
      • Versioning Assets with Git LFS
      • Deploying a Web Application using Git
  • Git Troubleshooting
    • Common Mistakes and Pitfalls When Using Git
    • Undoing Changes with Git - Reverting and Resetting
    • Recovering Lost Commits or Branches
    • Dealing with Repository Corruption or Other Issues
  • Git Best Practices and Tips
    • Creating efficient git workflows: writing clean code for faster reviews
    • The importance of clean code in collaborative development
    • Significance of consistent naming conventions & coding Standards
    • Good code documentation for better git workflows
    • Writing meaningful git commit messages
    • Atomic commits in git & it's benefits for software teams
    • Structuring code & managing dependencies for better git workflows
    • Git branching strategies for software teams
  • Conclusion & Next Steps
    • Recap of Key Concepts and Commands
    • Further Resources for Expanding Git Knowledge
    • Encouragement and Tips for Continued Learning and Practice
  • License Considerations
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  • Demonstrating the integration of Git with Jenkins CI/CD
  • Exploring the configuration and setup of CI/CD pipelines to trigger builds and deployments on Git events on Gitlab

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  1. Git in Real-World
  2. Git In Real World - Practice Scenarios

Integrating Git with CICD Pipelines

Scenario

Imagine a software development team working on a web application project called "MyWebApp." The team follows the best practices of version control and collaboration by using Git for source code management. They want to streamline their development process by integrating Git with a CI/CD pipeline.

To achieve this, the team decides to leverage a popular CI/CD tool called Jenkins. Jenkins is an open-source automation server that supports building, testing, and deploying software projects. It offers extensive capabilities for integrating with Git and automating the development lifecycle.

NB: These steps provide a high-level overview of integrating Git with popular CI/CD tools like Jenkins and GitLab CI/CD. The specific configurations and setup may vary depending on your project's requirements and the CI/CD tool of your choice.


Demonstrating the integration of Git with Jenkins CI/CD

Now let's dive into the steps involved in integrating Git with Jenkins CI/CD.

Step 1: Set up Jenkins

To get started, you need to install Jenkins on a server or a local machine. You can follow the official Jenkins installation guide for your operating system (e.g., Linux, macOS, or Windows). Once Jenkins is up and running, access the Jenkins web interface.

Step 2: Install the Git plugin

Jenkins provides a Git plugin that enables integration with Git repositories. Install the Git plugin by navigating to the "Manage Jenkins" section, selecting "Manage Plugins," and then searching for the "Git Plugin" in the available plugins. Install it and restart Jenkins to apply the changes.

Step 3: Create a new Jenkins job

To create a new Jenkins job, click on the "New Item" link on the Jenkins dashboard. Give your job a name, select the appropriate job type (e.g., Freestyle project or Pipeline), and click "OK" to proceed.

Step 4: Configure Git integration

In the job configuration page, scroll down to the "Source Code Management" section. Select "Git" as the source code management option. Provide the Git repository URL where your project is hosted. You may need to provide credentials if the repository requires authentication.

Step 5: Configure build triggers

In the job configuration page, under the "Build Triggers" section, you can define when Jenkins should trigger a build. For example, you can choose to build whenever changes are pushed to the Git repository or on a specific schedule. You can also configure Jenkins to perform a build only if certain conditions, such as specific branches or file patterns, are met.

Step 6: Define build steps

Next, specify the build steps that Jenkins should execute when a build is triggered. This could include compiling the source code, running tests, generating build artifacts, or any other required tasks. You can define build steps using shell commands, batch scripts, or using Jenkins plugins specific to your project requirements.

Step 7: Save and run the Jenkins job

Once you have configured all the necessary settings for your Jenkins job, save the configuration. You can then manually trigger a build by clicking the "Build Now" button on the job's dashboard. Jenkins will pull the latest code from the Git repository, perform the defined build steps, and provide feedback on the build status.


Exploring the configuration and setup of CI/CD pipelines to trigger builds and deployments on Git events on Gitlab

Let's explore how to configure CI/CD pipelines to trigger builds and deployments based on Git events using GitLab CI/CD as an example.

Step 1: Set up a GitLab repository

First, create a GitLab repository for your project and push your source code to it. You can follow the official GitLab documentation for creating a new repository and pushing code.

Step 2: Define a CI/CD pipeline configuration

In the root directory of your GitLab repository, create a file named .gitlab-ci.yml. This file defines the CI/CD pipeline configuration using YAML syntax. Inside the .gitlab-ci.yml file, you can specify the stages, jobs, and scripts to be executed for each job.

Step 3: Configure GitLab CI/CD triggers

To configure GitLab CI/CD triggers, navigate to your project's settings in GitLab. Under the "CI/CD" section, you can define triggers based on Git events, such as commits, tags, or branch updates. For example, you can configure a pipeline to trigger on every push to the master branch or on the creation of a new Git tag.

Step 4: Define pipeline stages and jobs

Inside the .gitlab-ci.yml file, you can define multiple stages and jobs. Each stage represents a phase in the pipeline, and jobs define the specific tasks to be executed within each stage. You can use predefined or custom scripts to perform actions like building, testing, deploying, and more.

Step 5: Save and commit changes

Save the .gitlab-ci.yml file and commit the changes to your GitLab repository. GitLab will automatically detect the presence of the .gitlab-ci.yml file and start executing the defined pipeline whenever the configured Git events occur.

Step 6: Monitor pipeline execution

You can monitor the execution of your CI/CD pipeline in the GitLab web interface. GitLab provides detailed logs and feedback on each job's status, including any errors or warnings that occur during the pipeline execution.

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Last updated 1 year ago

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