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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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  1. Git in Real-World

Integrating Git with Continuous Integration, Continuous Deployment (CI, CD)

In today's software development landscape, Continuous Integration (CI) and Continuous Deployment (CD) have become essential practices for ensuring the quality and timely delivery of software projects. Git, as a distributed version control system, plays a crucial role in enabling seamless integration with CI/CD pipelines.

In this section, we will explore the benefits of integrating Git with CI/CD, discuss how Git can be used in automated build, test, and deployment processes, and demonstrate the setup of CI/CD pipelines with popular tools and Git platforms.

Benefits of integrating Git with CI/CD pipelines: Integrating Git with CI/CD pipelines offers several advantages, including:

  1. Automated Builds: CI allows for automated building and compiling of code whenever changes are committed to the Git repository, ensuring that the codebase is always in a buildable state.

  2. Continuous Testing: CI/CD pipelines facilitate automated testing, ensuring that code changes are thoroughly tested before deployment. Git's branch-based development workflow integrates seamlessly with various testing frameworks.

  3. Rapid Feedback: CI/CD pipelines provide quick feedback on the quality and stability of code changes, allowing developers to identify and resolve issues early in the development cycle.

  4. Deployment Automation: Continuous deployments enables the automation of deployment processes, ensuring consistent and reliable deployments of software applications. Git's integration with CI/CD pipelines allows for seamless deployment of code changes to various environments.

Using Git in automated build, test, and deployment processes

Git can be utilized at various stages of the CI/CD pipeline to automate build, test, and deployment processes. Let's explore how Git can be leveraged in each stage:

Build Stage

The build stage involves compiling the source code, generating executable artifacts, and performing other necessary build tasks. Git can be used to trigger the build process whenever changes are committed to the repository. For example, a CI server can be configured to listen for Git webhooks and initiate the build process upon receiving new commits.

Test Stage

Testing is an integral part of the CI/CD pipeline. Git can be utilized to manage test suites and test data by maintaining separate branches for testing. Developers can create feature branches, work on new features or bug fixes, and run automated tests against those branches. Git's branching and merging capabilities ensure a clean separation of testing code from the main codebase.

Deployment Stage

CD pipelines automate the deployment process, ensuring that code changes are deployed consistently across different environments. Git can be leveraged to manage deployment configurations, such as environment-specific settings and scripts. Deployment scripts can be versioned in Git, allowing for easy rollback or review of changes. Git tags can also be used to mark specific commits for production deployments.


Setting up CI/CD pipelines with popular tools and Git platforms

Several popular tools and Git platforms provide built-in support for CI/CD pipelines. Let's discuss the setup process for some of them:

  1. Jenkins: Jenkins is a widely used open-source CI/CD tool. It integrates seamlessly with Git repositories, allowing you to trigger builds and deployments based on Git events. You can configure Jenkins to listen for Git webhooks, automatically fetch the latest changes, and execute build and deployment steps. Jenkins provides a rich set of plugins for integrating with Git platforms like GitHub, GitLab, and Bitbucket.

  2. GitLab CI/CD: GitLab provides an integrated CI/CD solution within its platform. It offers native support for Git repositories and includes a built-in CI/CD configuration file called .gitlab-ci.yml. This file allows you to define the stages, jobs, and deployment steps for your CI/CD pipeline. GitLab CI/CD can be easily configured to trigger builds, tests, and deployments upon Git events or schedule.

  3. Github Action: GitHub Actions is an automation and continuous integration/continuous deployment (CI/CD) platform provided by GitHub. It allows developers to define custom workflows and automate various tasks directly within their GitHub repositories. With GitHub Actions, developers can build, test, and deploy code more efficiently, ensuring code quality and streamlining the software development process.

  4. CircleCI: CircleCI is a continuous integration and continuous deployment (CI/CD) platform that automates the software development process, helping developers build, test, and deploy code more efficiently and with greater reliability. It is designed to work with GitHub and other version control platforms, making it seamless to integrate CI/CD pipelines into existing development workflows.

  5. Travis CI: Travis CI is a cloud-based CI/CD service that integrates seamlessly with GitHub and Bitbucket. It is well-known for its ease of use and quick setup. Travis CI offers both free and paid plans and supports parallelism to speed up build times.

  6. AWS CodePipeline: Amazon Web Services (AWS) CodePipeline is a fully managed CI/CD service that automates the build, test, and deployment phases of the software release process. It integrates with other AWS services, making it suitable for cloud-native projects hosted on AWS.

  7. Semaphore: Semaphore is a cloud-based CI/CD service known for its simplicity and ease of use. It supports parallel testing and deployments and offers integrations with various cloud platforms and deployment services.

  8. Azure Pipelines: Azure Pipelines is a component of Azure DevOps, Microsoft's cloud-based collaboration and development platform. Azure Pipelines is a continuous integration and continuous deployment (CI/CD) service that automates the building, testing, and deployment of applications across different platforms and environments. It allows development teams to set up automated workflows, ensuring that changes to code are automatically built, tested, and deployed to various target environments with efficiency and reliability.

Integrating Git with CI/CD pipelines brings significant benefits to software development processes, including version control, automated builds, continuous testing, rapid feedback, and deployment automation.

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