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Git Branching Strategy for AWS Codecommit

Hello There!!!
Called Sarvar, I am an Enterprise Architect, Currently working at Deloitte. With years of experience working on cutting-edge technologies, I have honed my expertise in Cloud Operations (Azure and AWS), Data Operations, Data Analytics, and DevOps. Throughout my career, I’ve worked with clients from all around the world, delivering excellent results, and going above and beyond expectations. I am passionate about learning the latest and treading technologies.

Today, we’re looking into the AWS CodeCommit branching strategy. Recently, I worked with a client who wanted to launch their brand-new application on the AWS cloud and wanted all of the native services. I offered an AWS cloud solution that addressed all of these concerns, including security, cost optimization, performance, and best practices for AWS devops. While working on this project, I discovered the AWS codecommit branching strategy. I’ll explain how we designed this strategy for real-time production environments. Additionally, In the upcoming article, we’ll look at how to restrict user access to a particular branch on the AWS code commit.

What is AWS CodeCommit:

Amazon Web Services (AWS) offers a managed source code control solution called AWS CodeCommit. It is intended to support software development teams in versioning and safely storing their source code and associated files on cloud servers. CodeCommit is an effective choice for businesses seeking to establish a full DevOps pipeline since it is a fully managed service that connects with other AWS tools and services. For companies looking for a safe, scalable, and managed version control and collaboration solution for their software development projects, AWS CodeCommit is a useful resource. Teams who now use or want to use other AWS services for their development and deployment processes will find it very helpful.

AWS CodeCommit vs GitHub:

Version control tools like GitHub and AWS CodeCommit are widely used. CodeCommit is an AWS-managed service that offers security and scalability, is well integrated with AWS services, and is perfect for businesses that are part of the AWS ecosystem. In contrast, GitHub is an independent platform that is extensively used and has a strong community. It is appropriate for open-source and multi-cloud projects and offers a wider ecosystem of third-party integrations. GitHub offers variety and cooperation in a more general development context, whereas CodeCommit emphasizes AWS integration and security. The decision between the two depends on particular needs and preferences.

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Let’s Talk About Branching Strategy for AWS Codecommit:

Git branching strategies refer to many methods for managing branches within a Git repository, each customized to meet certain development requirements. Typical some of Git branching strategies listed below:

  1. GitFlow
  2. GitHub Flow
  3. Trunk-based development
  4. Feature branching
  5. Release branching

Here, we’re talking about GitFlow since it’s a loaded with features and widely used production environment. We’ll examine its various uses and capabilities.

let’s see what are the different branches GitFlow has:

Image Source: GitFlow Atlassian

1. Main/Master Branch:
The mainline codebase is represented by the main branch. Live production will utilize the main branch. Changes can only be pushed by administrators, and it is protected. To guarantee that master contains tested and stable code, feature and hotfix branches’ code is regularly merged into master.

2. Develop Branch:
The main branch for continuous development is the development branch. To add new features or address bugs, developers branch their work into feature branches. Pull requests are used to incorporate changes from feature branches back into development.

3. Hotfix Branch:
When there are critical issues in production, the hotfix branch is formed from main as needed. Hotfix branches can only be created and merged by administrators. In order to guarantee that the hotfix is applied to the development, pre-production, and production branches, it is merged into main and live production as soon as it is completed.

4. Feature Branch:
During development, feature branches are made in order to incorporate particular features or fix bugs. While working in respective feature branches, developers submit pull requests for merging and code review. A feature is merged back into development after it has been finished and reviewed.

5. Release Branch:
Git release branches are used to plan and oversee software releases.
No new features are added to a release branch once it has been created. Tasks like bug fixes, documentation, and release-related activities become more important. The software is officially released when the release branch is complete and merges into the main branch. To guarantee that any modifications made during the release cycle are included in upcoming development, the release branch is also merged back into the develop branch.

**AWS CodeCommit Console**

Note: These are the standard branches according to the GitFlow manual; you may create additional branches, such as SIT, UTI, and PreProd branches, depending to your needs.

To get the optimum branching strategy for your code development, you can use all of the branches in the AWS CodeCommit service. All of this can be created using the AWS Codecommit console. Alternatively, you may use the AWS CLI to create this branches and push all of the branches at once.

Conclusion, this article has discussed the solid GitFlow branching strategy, which provides an organized method for branch management in AWS CodeCommit. This approach guarantees a systematic and regulated development process, which makes it very helpful in real-time production settings. Its separate branches — main, develop, hotfix, feature, and release allow teams to work together efficiently, control software releases, and preserve code stability. You can easily execute this technique with the help of AWS CodeCommit, which guarantees an effective and safe development workflow. GitFlow in CodeCommit is a great tool for DevOps success, whether you’re looking to improve version control or launch a new application on AWS.

The following are a few of the most beneficial links on this subject:
Gitflow Workflow | Atlassian Git Tutorial
Introducing GitFlow
Implementing GitFlow Using AWS CodePipeline

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Here is the End!

Thank you for taking the time to read my article. I hope you found this article informative and helpful. As I continue to explore the latest developments in technology, I look forward to sharing my insights with you. Stay tuned for more articles like this one that break down complex concepts and make them easier to understand.

Remember, learning is a lifelong journey, and it’s important to keep up with the latest trends and developments to stay ahead of the curve. Thank you again for reading, and I hope to see you in the next article!

Happy Learning!

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