Overview

GitLab

Stacks63.6K

Followers54.5K

Votes2.5K

GitHub Stars0

Forks0

AWS CodeStar

Stacks25

Followers171

Votes8

AWS CodeStar vs GitLab: What are the differences?

AWS CodeStar vs GitLab

AWS CodeStar and GitLab are two popular platforms used by developers for code hosting, collaboration, and continuous integration/continuous deployment (CI/CD) purposes. While both platforms offer similar functionalities, there are several key differences between AWS CodeStar and GitLab that developers should consider when choosing a platform for their development needs.

Integration with AWS Services: One major difference between AWS CodeStar and GitLab is the deep integration with other AWS services offered by CodeStar. AWS CodeStar provides seamless integration with various AWS services such as AWS Lambda, AWS Elastic Beanstalk, AWS CodeCommit, and AWS CodePipeline. This integration allows developers to easily leverage these services to build, test, and deploy applications directly from the CodeStar platform. On the other hand, GitLab is more agnostic and can be used with various cloud providers, but it doesn't have the same level of AWS-specific integrations.
Hosted vs Self-hosted: Another key difference between AWS CodeStar and GitLab is the hosting aspect. AWS CodeStar is a fully-managed service provided by AWS, which means that AWS takes care of the underlying infrastructure and maintenance tasks. This can be beneficial for developers who prefer a fully-managed solution and don't want to worry about infrastructure management. On the contrary, GitLab can be self-hosted, allowing developers to have more control over the infrastructure and customization options. This self-hosted feature can be advantageous for companies that require on-premises hosting or have specific security or compliance requirements.
Pricing Model: AWS CodeStar has a pricing model based on the usage of AWS services and resources used within its platform. This means that the cost of using AWS CodeStar is directly tied to the usage of underlying AWS services like compute instances, storage, and data transfer. In contrast, GitLab provides a flexible pricing model, allowing users to choose between a self-managed version (Community Edition) or a hosted version (GitLab.com) with subscription plans based on the number of users. This flexibility provides more options for developers based on their budget and specific needs.
Development Ecosystem: AWS CodeStar is part of the larger AWS ecosystem, providing developers with access to a wide range of AWS tools and services. This ecosystem includes services like AWS CloudFormation for infrastructure management, AWS CodeCommit for version control, and AWS CodePipeline for CI/CD pipelines. These integrations can streamline the development process for AWS-based projects. In contrast, GitLab has its own ecosystem, with features such as GitLab CI/CD, issue tracking, and project management tools integrated into a single platform. GitLab also has a large community of developers and a marketplace for additional integrations and extensions.
Scalability and Performance: AWS CodeStar is built on top of AWS's global infrastructure, which offers high availability, scalability, and performance. AWS CodeStar leverages AWS services like Amazon EC2 for compute resources, Amazon S3 for storage, and Amazon RDS for database management. This infrastructure allows developers to scale their applications and handle high traffic loads effectively. GitLab, on the other hand, relies on the infrastructure chosen by the user, whether it's self-hosted or a cloud provider. While it can be scaled to handle large projects, the performance and scalability of GitLab can depend on the choice of infrastructure and its resources.
Community and Support: GitLab has a large and active community of developers, with many open-source projects and resources available. The GitLab community provides support, documentation, and continuous improvement of the GitLab platform. Additionally, GitLab offers various support options for enterprise users, including priority support services, and access to GitLab's professional services team. AWS CodeStar also benefits from the larger AWS community and support network, with extensive documentation, online forums, and access to AWS support services.

In summary, AWS CodeStar offers deep integration with AWS services, is a fully-managed solution, has a usage-based pricing model, and is part of the larger AWS ecosystem. On the other hand, GitLab provides more hosting flexibility, has a customizable pricing model, has its own ecosystem, relies on the infrastructure chosen by the user, and has an active community of developers.

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Advice on GitLab, AWS CodeStar

Anonymous

May 25, 2020

Decided

Gitlab as A LOT of features that GitHub and Azure DevOps are missing. Even if both GH and Azure are backed by Microsoft, GitLab being open source has a faster upgrade rate and the hosted by gitlab.com solution seems more appealing than anything else! Quick win: the UI is way better and the Pipeline is way easier to setup on GitLab!

623k views623k

Comments

Weverton

CTO at SourceLevel

Jul 28, 2020

Review

Using an inclusive language is crucial for fostering a diverse culture. Git has changed the naming conventions to be more language-inclusive, and so you should change. Our development tools, like GitHub and GitLab, already supports the change.

SourceLevel deals very nicely with repositories that changed the master branch to a more appropriate word. Besides, you can use the grep linter the look for exclusive terms contained in the source code.

As the inclusive language gap may happen in other aspects of our lives, have you already thought about them?

944k views944k

Comments

Weverton

CTO at SourceLevel

Aug 3, 2020

Review

Do you review your Pull/Merge Request before assigning Reviewers?

If you work in a team opening a Pull Request (or Merge Request) looks appropriate. However, have you ever thought about opening a Pull/Merge Request when working by yourself? Here's a checklist of things you can review in your own:

Pick the correct target branch
Make Drafts explicit
Name things properly
Ask help for tools
Remove the noise
Fetch necessary data
Understand Mergeability
Pass the message
Add screenshots
Be found in the future
Comment inline in your changes

Read the blog post for more detailed explanation for each item :D

What else do you review before asking for code review?

1.18M views1.18M

Comments

Detailed Comparison

GitLab	AWS CodeStar
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.	Start new software projects on AWS in minutes using templates for web applications, web services and more.
Manage git repositories with fine grained access controls that keep your code secure;Perform code reviews and enhance collaboration with merge requests;Each project can also have an issue tracker and a wiki;Used by more than 100,000 organizations, GitLab is the most popular solution to manage git repositories on-premises;Completely free and open source (MIT Expat license);Powered by Ruby on Rails	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
GitHub Stars 0	GitHub Stars -
GitHub Forks 0	GitHub Forks -
Stacks 63.6K	Stacks 25
Followers 54.5K	Followers 171
Votes 2.5K	Votes 8
Pros & Cons
Pros 508 Self hosted 431 Free 339 Has community edition 242 Easy setup 240 Familiar interface Cons 28 Slow ui performance 9 Introduce breaking bugs every release 6 Insecure (no published IP list for whitelisting) 2 Built-in Docker Registry 1 Review Apps feature	Pros 3 Simple to set up 2 Manual Steps Available 1 GitHub integration 1 Flexible 1 Integrations
Integrations
No integrations available	Amazon EC2 AWS Lambda AWS Elastic Beanstalk Jira

What are some alternatives to GitLab, AWS CodeStar?

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 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 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.

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 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

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

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 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

AWS CodeCommit

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.

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.