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AWS CodeBuild

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AWS CodeBuild vs GitLab: What are the differences?

AWS CodeBuild: Build and test code with continuous scaling. AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you don’t need to provision, manage, and scale your own build servers; GitLab: Open source self-hosted Git management software. 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.

AWS CodeBuild and GitLab are primarily classified as "Continuous Integration" and "Code Collaboration & Version Control" tools respectively.

Some of the features offered by AWS CodeBuild are:

  • Fully Managed Build Service
  • Continuous Scaling
  • Enables Continuous Integration

On the other hand, GitLab provides the following key features:

  • 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

"Pay per minute" is the primary reason why developers consider AWS CodeBuild over the competitors, whereas "Self hosted" was stated as the key factor in picking GitLab.

GitLab is an open source tool with 20.1K GitHub stars and 5.33K GitHub forks. Here's a link to GitLab's open source repository on GitHub.

Coderus, Webedia, and Ticketmaster are some of the popular companies that use GitLab, whereas AWS CodeBuild is used by Convox, Volta Industries, and ChromaDex. GitLab has a broader approval, being mentioned in 1219 company stacks & 1431 developers stacks; compared to AWS CodeBuild, which is listed in 21 company stacks and 14 developer stacks.

Decisions about AWS CodeBuild and GitLab
Weverton Timoteo

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?

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Weverton Timoteo

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?

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Weverton Timoteo

One of the magic tricks git performs is the ability to rewrite log history. You can do it in many ways, but git rebase -i is the one I most use. With this command, It’s possible to switch commits order, remove a commit, squash two or more commits, or edit, for instance.

It’s particularly useful to run it before opening a pull request. It allows developers to “clean up” the mess and organize commits before submitting to review. If you follow the practice 3 and 4, then the list of commits should look very similar to a task list. It should reveal the rationale you had, telling the story of how you end up with that final code.

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Kamaleshwar BN
Senior Software Engineer at Pulley · | 8 upvotes · 688.2K views

Out of most of the VCS solutions out there, we found Gitlab was the most feature complete with a free community edition. Their DevSecops offering is also a very robust solution. Gitlab CI/CD was quite easy to setup and the direct integration with your VCS + CI/CD is also a bonus. Out of the box integration with major cloud providers, alerting through instant messages etc. are all extremely convenient. We push our CI/CD updates to MS Teams.

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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!

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Nazar Atamaniuk
Shared insights
on
DeployPlaceDeployPlaceGitHubGitHubGitLabGitLab

At DeployPlace we use self-hosted GitLab, we have chosen GitLab as most of us are familiar with it. We are happy with all features GitLab provides, I can’t imagine our life without integrated GitLab CI. Another important feature for us is integrated code review tool, we use it every day, we use merge requests, code reviews, branching. To be honest, most of us have GitHub accounts as well, we like to contribute in open source, and we want to be a part of the tech community, but lack of solutions from GitHub in the area of CI doesn’t let us chose it for our projects.

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Pros of AWS CodeBuild
Pros of GitLab
  • 7
    Pay per minute
  • 5
    Parameter Store integration for passing secrets
  • 4
    Integrated with AWS
  • 3
    Streaming logs to Amazon CloudWatch
  • 3
    Bit bucket integration
  • 2
    GitHub Webhooks support
  • 2
    AWS Config and Config rule integration for compliance
  • 2
    VPC PrivateLinks to invoke service without internet
  • 1
    Windows/.NET support
  • 1
    Jenkins plugin integration
  • 1
    Ondemand scaling of build jobs
  • 1
    Scheduled builds with CloudWatch Events integration
  • 1
    Local build debug support
  • 1
    Native support for accessing Amazon VPC resources
  • 1
    Docker based build environment
  • 1
    Support for bringing custom Docker images
  • 1
    Fully managed (no installation/updates, servers to mai
  • 1
    PCI, SOC, ISO, HIPAA compliant
  • 1
    Full API/SDKs/CLI support
  • 1
    YAML based configuration
  • 1
    Great support (forums, premium support, SO, GitHub)
  • 1
    Perpetual free tier option (100 mins/month)
  • 1
    GitHub Enterprise support
  • 508
    Self hosted
  • 431
    Free
  • 339
    Has community edition
  • 242
    Easy setup
  • 240
    Familiar interface
  • 137
    Includes many features, including ci
  • 113
    Nice UI
  • 84
    Good integration with gitlabci
  • 57
    Simple setup
  • 35
    Has an official mobile app
  • 34
    Free private repository
  • 31
    Continuous Integration
  • 23
    Open source, great ui (like github)
  • 18
    Slack Integration
  • 15
    Full CI flow
  • 11
    Free and unlimited private git repos
  • 10
    All in one (Git, CI, Agile..)
  • 10
    User, group, and project access management is simple
  • 8
    Intuitive UI
  • 8
    Built-in CI
  • 6
    Full DevOps suite with Git
  • 6
    Both public and private Repositories
  • 5
    Integrated Docker Registry
  • 5
    So easy to use
  • 5
    CI
  • 5
    Build/pipeline definition alongside code
  • 5
    It's powerful source code management tool
  • 4
    Dockerized
  • 4
    It's fully integrated
  • 4
    On-premises
  • 4
    Security and Stable
  • 4
    Unlimited free repos & collaborators
  • 4
    Not Microsoft Owned
  • 4
    Excellent
  • 4
    Issue system
  • 4
    Mattermost Chat client
  • 3
    Great for team collaboration
  • 3
    Free private repos
  • 3
    Because is the best remote host for git repositories
  • 3
    Built-in Docker Registry
  • 3
    Opensource
  • 3
    Low maintenance cost due omnibus-deployment
  • 3
    I like the its runners and executors feature
  • 2
    Beautiful
  • 2
    Groups of groups
  • 2
    Multilingual interface
  • 2
    Powerful software planning and maintaining tools
  • 2
    Review Apps feature
  • 2
    Kubernetes integration with GitLab CI
  • 2
    One-click install through DigitalOcean
  • 2
    Powerful Continuous Integration System
  • 2
    It includes everything I need, all packaged with docker
  • 2
    The dashboard with deployed environments
  • 2
    HipChat intergration
  • 2
    Many private repo
  • 2
    Kubernetes Integration
  • 2
    Published IP list for whitelisting (gl-infra#434)
  • 2
    Wounderful
  • 2
    Native CI
  • 1
    Supports Radius/Ldap & Browser Code Edits

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Cons of AWS CodeBuild
Cons of GitLab
  • 2
    Poor branch support
  • 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

Sign up to add or upvote consMake informed product decisions

What is AWS CodeBuild?

AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you don’t need to provision, manage, and scale your own build servers.

What is 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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use AWS CodeBuild?
What companies use GitLab?
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What tools integrate with AWS CodeBuild?
What tools integrate with GitLab?

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Blog Posts

What are some alternatives to AWS CodeBuild and GitLab?
Jenkins
In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
AWS CodePipeline
CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
Apache Maven
Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.
GitLab CI
GitLab offers a continuous integration service. If you add a .gitlab-ci.yml file to the root directory of your repository, and configure your GitLab project to use a Runner, then each merge request or push triggers your CI pipeline.
AWS CodeDeploy
AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
See all alternatives