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AWS CodeCommit is a version control system integrated directly in the cloud environment, similar to GitHub, GitLab, and other platforms. It offers every single benefit of using any other version control system.

AWS CodeCommit was used as a version control system in an AWS environment. The IAM integration was utilized to set the correct permissions for users in order to edit the repository, write on the repository, and view the repository. It is a really good product where you can easily create your repository and integrate it with other tools such as IAM to handle the user and management aspects of the repository.

You can easily set branch strategies and define branch rules without much difficulty or errors. You can also limit pushes and merges by setting rules to define who can approve and handle all approval-related tasks. AWS CodeCommit is really integrated with IAM, allowing you to use IAM rules and IAM policies to set specific requirements and policies for groups, including policies for committing, editing code, and viewing code.

Encryption capability was potentially used to store secrets and values that were in use with the pipeline and the code that triggered pipelines, though the specific details of this usage are not entirely certain. AWS CodeCommit is a good product for handling all tasks related to version control systems and managing the branch strategy of your repository. Compared to other tools outside AWS such as GitHub, GitLab, or Bitbucket, you can customize the policies of your users better with IAM policies in AWS CodeCommit.

AWS CodeCommit is a good product to use when you also have to use CodePipeline because it is all integrated in the same system, which is beneficial. However, the integration with other code pipeline tools outside the AWS world is uncertain, as there has been no experience with that integration.

The number of users for AWS CodeCommit is generally less compared to other version control systems. To improve the adoption of AWS CodeCommit with respect to others that are more used in the market, something would need to be done to increase market share, as people are often more educated to use GitLab or GitHub. AWS CodeCommit is quite easy to learn in general, but competitors have a bigger market share in this particular area for many reasons.

AWS CodeCommit has been used for approximately one year.

AWS CodeCommit is stable.

The scalability of AWS CodeCommit is uncertain due to not having a chance to test it, though it appears to be quite scalable.

Support for AWS CodeCommit has never been reached, so there is no information about customer service.

Positive

No previous solutions were used before AWS CodeCommit.

AWS CodeCommit was not installed through AWS Marketplace. It was already installed and provided as part of the existing infrastructure by the team.

Automated notification within the AWS CodeCommit pipeline or repository was never used. Notifications were not sent to users, as accounts were simply created. Notifications might be used when you do a pull request to notify the other reviewer to review the pull request, or when you have to approve something, to send notification to the approval team. The overall review rating for this product is seven out of ten.

I use GitHub for its repository, and I have also used it for GitHub CI/CD pipeline or GitHub Actions.

I have integrated GitHub with AWS Elastic Beanstalk service for code purposes and also in Azure App Service. After implementation, it is very easy to get code, and we do not need to use any cloud-related repository tools for code storage. So it is very easy.

I only used GitHub enterprise; otherwise, I mostly use the open-source version.

The best feature of GitHub is its branch techniques, and it is very useful for how the branches are managed. This is the best feature I prefer.

Applying GitHub Actions saves so much time for the team because it automates the developer's work to the server.

When working with the CI/CD pipeline and somebody is writing the workflow file, it would be best to include the AI feature so if they write incorrect code, it will notify me about it in the same dashboard, eliminating the need to use third-party tools to review the file.

I use GitHub as it is easy to get code, and we do not need any cloud-related repository tools for code storage.

When working with the CI/CD pipeline and somebody is writing the workflow file, it would be best to include the AI feature so if they write incorrect code, it will notify me about it in the same dashboard, eliminating the need to use third-party tools to review the file. I would like to implement the AI feature, especially in the workflow file.

I have extensively been working on GitHub for the past two years, and my total experience is about five years.

The initial setup of GitHub is very easy and not complicated at all. Especially when we apply it to the CI/CD pipeline as an open-source solution, it is very easy to implement.

GitHub is very stable for me with no performance issues.

GitHub is very scalable.

I have not used customer support for GitHub.

Positive

I was first introduced to GitHub, so I did not use any other solutions for coding purposes because GitHub was my first encounter.

The initial setup of GitHub is very easy and not complicated at all. Especially when we apply it to the CI/CD pipeline as an open-source solution, it is very easy to implement.

If you are new, especially for developers, it is very easy for the first implementation and pushing the code.

I would rate GitHub nine out of ten because if we have complex branch strategies, it becomes very complicated to manage all those branches.

GitHub is very stable for me with no performance issues.

I have not used customer support for GitHub.

I only use GitHub; I have not worked with any other version control systems or products of the same kind.

I have not used GitHub security alerts.

I also have not used GitHub API for automating workflows in my projects.

I am not utilizing code review capabilities in GitHub.

I rate GitHub 9 out of 10.