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Table of contents
1.
Introduction
2.
Understanding AWS CodeCommit
3.
Differences and Similarities Between Git and CodeCommit
4.
Functionalities of CodeCommit
5.
Advantages of AWS CodeCommit
6.
Creating a Repository in CodeCommit
7.
Adding Files to the CodeCommit Repository
8.
Exploring the Repository Content
9.
Making Pull Requests and Collaborating on them
10.
Working with Approval Rule Templates
11.
AWS CodeCommit Security
12.
AWS CodeCommit Monitoring
13.
AWS CodeCommit Troubleshooting
13.1.
Turn on debugging
13.2.
Troubleshooting AWS CodeCommit Git credentials and HTTPS connections
14.
Frequently Asked Questions
14.1.
What is AWS CodeCommit?
14.2.
What is the difference between AWS CodeCommit and a versioned S3 bucket?
14.3.
Who should use Amazon Web Services CodeCommit?
14.4.
What is ‘Git’?
14.5.
How can I start building a repository?
15.
Conclusion
Last Updated: Mar 27, 2024

AWS CodeCommit

Author Aditya kumar
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Introduction

AWS(Amazon Web Services) CodeCommit is a managed source control service that hosts private Git repositories and is safe and highly scalable. It allows teams to collaborate on code safely, with contributions encrypted in transit and at rest. 

You won't have to run your source control system or worry about scaling its infrastructure using CodeCommit. CodeCommit can be used to store anything from code to binaries. It works with your existing Git-based tools because it supports Git's basic capabilities.

Understanding AWS CodeCommit

You can use CodeCommit to:

  • Use AWS's fully managed service: CodeCommit ensures high service availability and reliability while also removing the administrative burden of managing your hardware and software. There is no server software to install, configure, or update and no hardware to provision and scale.
  • Securely store your code: CodeCommit repositories are encrypted in transit and at rest.
  • Collaborate on code: CodeCommit repositories offer to pull requests, which allow users to review and comment on each other's code changes before merging them to branches, as well as alerts, which send emails to users about pull requests and comments.
  • Scale your version control projects with ease: CodeCommit repositories can grow to suit your development requirements. The service can manage huge repositories with many files or branches, large file sizes, and long revision histories.
  • Anything, at any time: There are no limits to the size of your repositories or the file types you can save with CodeCommit.
  • Integrate with other Amazon Web Services (AWS) and third-party services: CodeCommit maintains your repositories on the AWS Cloud close to your other production resources, making your development lifecycle faster and more frequent. It integrates with IAM and can be used with other AWS services and repositories. See AWS CodeCommit product and service integrations for further information.
  • Move files from other remote repositories with ease: Any Git-based repository can be converted to CodeCommit.
  • Use the Git tools you're currently familiar with: CodeCommit has its AWS CLI commands and APIs in addition to Git commands.
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Differences and Similarities Between Git and CodeCommit

Differences  
Git CodeCommit
Less Secure than CodeCommit. More Secure than Git because AWS uses IAM (Identity and Access Management) roles for securing approaches, allowing users to share their repositories with a limited number of people in a highly safe environment.
The Git interface is more engaging than the AWS CodeCommit interface. Its interface is less engaging than Git.
Git is linked to GitHub AWS CodeCommit is controlled and hosted by AWS, making it a more trustworthy platform.
Similarities  
Git CodeCommit
It can integrate with AWS cloud build, which can import your GitHub. It also can integrate with AWS cloudbuild, which can import your GitHub and other Google cloud storage and construct containers according to your needs.
It uses Git repositories. It also uses Git repositories.
It advocates for code review. It also advocates for code review.

 

Functionalities of CodeCommit

Users of Git-based repositories are familiar with CodeCommit, but even those who aren't should find the shift to CodeCommit simple. 

CodeCommit has a terminal that allows you to quickly create repositories and see a list of existing repositories and branches. Users may locate information on a repository and clone it to their computer in a few simple steps, resulting in a local repo where they can make changes before pushing them to the CodeCommit repository. Users can use a GUI-based editor or operate from the command line on their home workstations.

The diagram below explains how to establish and maintain repositories using your development machine, the AWS CLI (Command Line Interface) or CodeCommit console, and the CodeCommit service:

                                                               Source: Functionality of CodeCommit 

  1. To create a CodeCommit repository, use the AWS CLI or the CodeCommit console.
  2. Run git clone from your development machine, specifying the name of the CodeCommit repository. This establishes a local repository that is linked to the CodeCommit repository.
  3. Modify (add, edit, and delete) files in the local repo on your development machine, then run git add to stage the changes locally. To commit the files locally, use git commit and git push to send them to the CodeCommit repository.
  4. Other users' changes can be downloaded. To synchronise the files in the CodeCommit repository with your local repo, use git pull. This ensures you're working with the most recent file version.

To track and manage your repositories, you can use the AWS CLI or the CodeCommit console.

Advantages of AWS CodeCommit

  • Highly Scalable: It scales up or down depending on your data and can easily manage huge repositories and branch counts.
  • Fully Manageable: As a developer, one should concentrate on developing rather than managing or maintaining hardware or software. This solution allows you to focus more on production while managing all of the underlying requirements and ensuring high availability and durability.
  • Collaboration: It enables several users to collaborate on the same source code at various sections simultaneously. After that, the changes and updates are merged and pushed into the repository.
  • Security: It offers a secure environment for storing source code, documents, binary files, and other items. It secures your data by employing encryption techniques. AWS secures your data via IAM roles, which allow you to share it with certain persons.
  • Migration: Its most attractive feature allows users to transition their git repositories to CodeCommit simply.

Creating a Repository in CodeCommit

Create a repository in CodeCommit by following these steps:

Step 1

Go to the Amazon Management Console after logging into your AWS account. Look for AWS CodeCommit in the search field. A window for the CodeCommit service will appear.

Step 2

In AWS CodeCommit, click ‘Create Repository’ to create a repository. Then click ‘Create’ after giving it a name and a description.

Step 3

A success message will appear on the screen, indicating that the repository was successfully created.

Step 4

You can join your repository using HTTP or SSH. We're utilising HTTP for this. To add a file, click ‘Create File’.

Step 5

This is where we type a text file. You can save your source code or any other binary files in this folder.

Step 6

Click ‘Commit Changes’ after entering the filename, author name, email address, and commit message.

Step 7

You can now quickly create your repository with only a few clicks.

Adding Files to the CodeCommit Repository

The CodeCommit console can be used to upload files from a local computer.

It can also be uploaded via a Git client, allowing users to clone a repository to their local computer. Git must first be installed on the local computer, then cloning the CodeCommit repository. Changes to the files on the local computer can be made, and these changes can then be pushed to the repository. The terminal can be used to view files that have been added to the repository.

  • Click the 'Code' button in the repository's navigation bar.
  • Select or create the file to be uploaded by clicking on the 'Add file' button.
  • Select the file from the drop-down list if you want to add a file from a different branch. The user's default branch is chosen automatically.
    • Fill in the 'Author name' and 'Email address' fields.
    • 'Commit message' is an optional field.
    • Select the file you want to upload by clicking on it.
    • Fill in a 'Filename'.

Exploring the Repository Content

  • The contents of the files can be immediately accessed, or the files can be studied from the console.
  • This aids the user in determining which branch of the repository gas should be verified or a local copy made.

Making Pull Requests and Collaborating on them

The user may want to collaborate on code and review changes while working with other repository users. Other users can examine and comment on the user's code by creating a pull request. If the repository's notifications are enabled, the repository's user will receive emails about events concerning the repository.

A branch containing the code changes that need to be reviewed should be created before submitting a pull request.

Working with Approval Rule Templates

For pull requests, you can set approval rules. Use approval rule templates to apply approval rules to some or all of the pull requests made in repositories. Approval rule templates allow you to adapt your development workflows across repositories so that various branches have appropriate approval and control levels. Different rules might be set for the production and development branches. When a pull request meets the rule conditions, those rules are implemented.

An approval rule template can be associated with one or more repositories in the AWS Region where it was established. When a template is linked to a repository, it creates approval rules for pull requests in that repository as part of the pull request creation process. Like a single approval rule, an approval rule template outlines the structure of an approval rule, including the number of needed approvals and an optional pool of users from which approvals must come. You can also define destination references (the branch or branches), also known as branch filters, in addition to approval rules. Only pull requests whose destination branch names match the given branch names (destination references) in the template will have rules defined for them if you define destination references. If you give refs/heads/main as a destination reference, the template's approval rule will only be applied to pull requests if the target branch is main.

AWS CodeCommit Security

At AWS, cloud security is a top focus. As an AWS customer, you have access to a data centre and network architecture designed to fulfil the needs of the most security-conscious businesses.

AWS and you both share responsibility for security. This is referred to as cloud security and cloud security under the shared responsibility model:

  • Security of the Cloud: AWS is in charge of safeguarding the infrastructure that runs AWS services on the AWS Cloud. AWS also supplies you with services that are safe to utilise. As part of the AWS Compliance Programs, third-party auditors examine and certify the effectiveness of our security.
  • Security in the Cloud: The AWS service that you utilise determines your obligation. Other considerations, such as the sensitivity of your data, your company's requirements, and applicable laws and regulations, are also your responsibility.

When using CodeCommit, this blog will assist you to understand how to implement the shared responsibility paradigm. Other AWS services that help you monitor and secure your CodeCommit resources are also covered.

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AWS CodeCommit Monitoring

Monitoring is a vital component of keeping CodeCommit and your other AWS solutions reliable, available, and performant. AWS provides the following monitoring tools to keep an eye on CodeCommit, flag issues, and take automatic measures when necessary:

  • Amazon EventBridge can be used to automate your AWS services and respond to system events like application availability concerns or resource changes automatically. EventBridge receives events from AWS services in near real-time. Simple rules can be written to specify which events are of interest to you and which automated actions should be taken when an event matches one of the criteria.
  • Amazon CloudWatch Events provides a near-real-time stream of system events that indicate AWS resource changes. Because you can design rules that watch for specific events and trigger automated actions in other AWS services when they occur, CloudWatch Events enables automated event-driven computing.
  • CloudTrail and other log files can be monitored, stored, and accessed via Amazon CloudWatch Logs. CloudWatch Logs can monitor data in log files and provide you notifications when specified thresholds are reached. You can also store your log data in long-term storage.
  • AWS CloudTrail logs API calls and related events made by or on behalf of your Amazon Web Services account to an Amazon S3 bucket you specify. You can see which users and accounts phoned AWS, as well as the source IP address from which the calls were made and when they were made.

AWS CodeCommit Troubleshooting

The following information may assist you in troubleshooting typical AWS CodeCommit difficulties.

Turn on debugging

Problem: I'd like to enable debugging in order to learn more about my repository and how Git executes commands.

Possible solutions include: Consider the following:

1. Before using Git commands, run the following commands at the terminal or command line on your local machine:

On Unix, Linux, or macOS:

export GIT_TRACE_PACKET=1
export GIT_TRACE=1
export GIT_CURL_VERBOSE=1

On Windows:

set GIT_TRACE_PACKET = 1
set GIT_TRACE = 1
set GIT_CURL_VERBOSE = 1

2. Create a shell script similar to the following and run it to gather more information about your Git repository:

#!/bin/sh

gc_output=`script -q -c 'git gc' | grep Total`
object_count=$(echo $gc_output | awk -F ' |\(|\)' '{print $2}')
delta_count=$(echo $gc_output | awk -F ' |\(|\)' '{print $5}')

verify_pack_output=`git verify-pack -v objects/pack/pack-*.pack .git/objects/pack/pack-*.pack 2>/dev/null`
largest_object=$(echo "$verify_pack_output" | grep blob | sort -k3nr | head -n 1 | awk '{print $3/1024" KiB"}')
largest_commit=$(echo "$verify_pack_output" | grep 'tree\|commit\|tag' | sort -k3nr | head -n 1 | awk '{print $3/1024" KiB"}')
longest_delta_chain=$(echo "$verify_pack_output" | grep chain | tail -n 1 | awk -F ' |:' '{print $4}')

branch_count=`git branch -a | grep remotes/origin | grep -v HEAD | wc -l`
if [ $branch_count -eq 0 ]; then
    branch_count=`git branch -l | wc -l`
fi

echo "Size: `git count-objects -v | grep size-pack | awk '{print $2}'` KiB"
echo "Branches: $branch_count"
echo "Tags: `git show-ref --tags | wc -l`"
echo "Commits: `git rev-list --all | wc -l`"
echo "Objects: $object_count"
echo "Delta objects: $delta_count"
echo "Largest blob: $largest_object"
echo "Largest commit/tag/tree: $largest_commit"
echo "Longest delta chain: $longest_delta_chain"

3. If these methods don't give you enough information to solve the problem on your own, turn to the AWS CodeCommit forum for assistance. 

Troubleshooting AWS CodeCommit Git credentials and HTTPS connections

The following information may assist you in troubleshooting typical issues while connecting to AWS CodeCommit repositories using Git credentials and HTTPS.

AWS CodeCommit git credentials: When I connect to my CodeCommit repository using the terminal or command line, I keep getting a prompt for credentials.

Problem: When using the terminal or command line to push, pull, or otherwise interact with a CodeCommit repository, you are prompted for a user name and password, as well as the Git credentials for your IAM(Identity and Access Management) user.

Possible solutions include: The most common causes of this error are that your local computer is running an operating system that doesn't support credential management, that it doesn't have a credential management utility installed, or that your IAM user's Git credentials haven't been saved to one of these credential management systems. You may need to install a credential manager, configure the credential manager that comes with your operating system, or tailor your local environment to use credential storage, depending on your operating system and local environment. If your computer runs macOS, for example, you can store your credentials in the Keychain Access program. You can use the Git Credential Manager that comes with Git for Windows if your machine runs Windows.

AWS CodeCommit Git credentials: I put up Git credentials, but my system isn't using them.

Problem: When using CodeCommit with a Git client, the client does not appear to use your IAM user's Git credentials.

Possible solutions: The most likely cause of this problem is that you previously configured your machine to use the AWS CLI's credential helper. Remove any configuration lines similar to the ones below from your.gitconfig file:

[credential "https://git-codecommit.*.amazonaws.com"]
    helper = !aws codecommit credential-helper $@ 
    UseHttpPath = true

Before attempting to connect again, save the file and then create a new command line or terminal session.

You may also have numerous credential helpers or managers installed on your computer, and your system may be set to a different configuration by default. When using the git config command, instead of --global or --local, use the --system option to change the default credential helper.

Check out most important Git Interview Questions here.

Frequently Asked Questions

What is AWS CodeCommit?

AWS CodeCommit is a managed source control service that makes it easier for teams to collaborate on code. It is safe, highly scalable, and easy to use. You won't have to manage your own source control system or worry about scaling its infrastructure using AWS CodeCommit. AWS CodeCommit allows you to store everything from code to binaries and integrates with your existing Git tools.

What is the difference between AWS CodeCommit and a versioned S3 bucket?

AWS CodeCommit is a collaborative software development platform. It allows you to handle changes in batches across several files, branch in parallel, and compare versions ("diffing"). Amazon S3 versioning, on the other hand, allows you to recover previous versions of individual files but not batch changes across several files or other features required for collaborative software development.

Who should use Amazon Web Services CodeCommit?

AWS CodeCommit is a source control system for software developers who need a secure, dependable, and scalable way to store and version their code. Additionally, anyone searching for an easy-to-use, fully managed, version-controlled data repository can use AWS CodeCommit. IT administrators, for example, can use AWS CodeCommit to store scripts and configurations. AWS CodeCommit allows web designers to save HTML pages and images.

What is ‘Git’?

Git is a distributed version management system that is open-source. You can use the Git command-line interface (CLI) or any of the available Git clients to work with AWS CodeCommit repositories.

How can I start building a repository?

The AWS Management Console, the AWS Command Line Interface (AWS CLI), the AWS SDKs, and the AWS CodeCommit APIs can all be used to build a repository.

Conclusion

In this article, we have discussed AWS CodeCommit. We have also discussed its benefits and its usage. So basically, AWS CodeCommit is a managed source control service that makes it easier for teams to collaborate on code. It is safe, highly scalable, and easy to use. 

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