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  1. Stackups
  2. DevOps
  3. Code Collaboration
  4. Code Collaboration Version Control
  5. AWS CodeCommit vs AWS CodeStar

AWS CodeCommit vs AWS CodeStar

OverviewComparisonAlternatives

Overview

AWS CodeCommit
AWS CodeCommit
Stacks324
Followers826
Votes193
AWS CodeStar
AWS CodeStar
Stacks24
Followers171
Votes8

AWS CodeCommit vs AWS CodeStar: What are the differences?

AWS CodeCommit vs AWS CodeStar

AWS CodeCommit and AWS CodeStar are two services offered by Amazon Web Services (AWS) that assist in the development and deployment of software applications. Although they have some similarities, there are key differences between the two.

  1. Integration with Other Tools: AWS CodeCommit is a fully managed source control service that allows developers to collaborate on code using Git. It provides integration with other AWS services such as AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. On the other hand, AWS CodeStar is a fully integrated development environment (IDE) that not only provides source control management with AWS CodeCommit but also integrates seamlessly with other development tools like Amazon EC2, AWS CloudFormation, and AWS Lambda.

  2. Built-in Project Templates: AWS CodeCommit does not provide any built-in project templates, and developers need to create repositories manually. In contrast, AWS CodeStar offers a variety of pre-configured project templates that can be used as a starting point for different types of applications. These templates include sample code, configurations, and resources, saving developers time and effort in setting up a new project.

  3. Team Collaboration: AWS CodeCommit is primarily focused on providing a secure and scalable source control service for teams working on code. It offers features such as pull requests, code reviews, and permissions management to facilitate collaboration. On the other hand, AWS CodeStar goes beyond code collaboration and provides a platform for teams to collaborate on the entire development lifecycle, including project planning, issue tracking, and continuous integration/continuous delivery (CI/CD).

  4. Deployment Options: With AWS CodeCommit, developers can choose to deploy their code using AWS CodePipeline, which provides a flexible and customizable process for building, testing, and deploying applications. In contrast, AWS CodeStar provides an integrated CI/CD pipeline that automates the entire deployment process. It simplifies the setup and management of the pipeline, making it easier for developers to release their applications quickly and reliably.

  5. Visibility and Monitoring: AWS CodeCommit provides basic visibility and monitoring capabilities such as audit logs, notifications, and code search. Additionally, it integrates with AWS CloudTrail and AWS CloudWatch for enhanced monitoring and logging. On the other hand, AWS CodeStar offers a centralized dashboard that provides visibility into the project status, including deployment logs, build and test results, and metrics. This allows developers to track the progress of their projects and identify any issues more effectively.

  6. Managed Service vs Full Development Platform: AWS CodeCommit focuses solely on providing a managed source control service, allowing developers to maintain full control over other aspects of application development. In contrast, AWS CodeStar is a full development platform that combines several services and tools to streamline the development process. It provides a unified interface and manages the underlying infrastructure, reducing the operational overhead for development teams.

In summary, while AWS CodeCommit is a managed source control service that integrates with other AWS services, AWS CodeStar is a fully integrated development platform that provides a complete development lifecycle environment.

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Detailed Comparison

AWS CodeCommit
AWS CodeCommit
AWS CodeStar
AWS CodeStar

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

Start new software projects on AWS in minutes using templates for web applications, web services and more.

Collaboration;Encryption;Access Control;High Availability and Durability;Unlimited Repositories;Easy Access and Integration
Start developing on AWS in minutes;Manage software delivery in one place;Work across your team securely;Choose from a variety of project templates
Statistics
Stacks
324
Stacks
24
Followers
826
Followers
171
Votes
193
Votes
8
Pros & Cons
Pros
  • 44
    Free private repos
  • 26
    IAM integration
  • 24
    Pay-As-You-Go Pricing
  • 20
    Amazon feels the most Secure
  • 19
    Repo data encrypted at rest
Cons
  • 12
    UI sucks
  • 4
    SLOW
  • 3
    No Issue Tracker
  • 2
    No fork
  • 2
    NO LFS support
Pros
  • 3
    Simple to set up
  • 2
    Manual Steps Available
  • 1
    Flexible
  • 1
    Integrations
  • 1
    GitHub integration
Integrations
Git
Git
Jenkins
Jenkins
Amazon EC2
Amazon EC2
AWS Lambda
AWS Lambda
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Jira
Jira

What are some alternatives to AWS CodeCommit, AWS CodeStar?

GitHub

GitHub

GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Bitbucket

Bitbucket

Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.

GitLab

GitLab

GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

RhodeCode

RhodeCode

RhodeCode provides centralized control over distributed code repositories. Developers get code review tools and custom APIs that work in Mercurial, Git & SVN. Firms get unified security and user control so that their CTOs can sleep at night

Gogs

Gogs

The goal of this project is to make the easiest, fastest and most painless way to set up a self-hosted Git service. With Go, this can be done in independent binary distribution across ALL platforms that Go supports, including Linux, Mac OS X, and Windows.

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