AWS CodeBuild vs GitHub

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AWS CodeBuild vs GitHub: What are the differences?

Introduction: AWS CodeBuild is a fully-managed continuous integration service provided by Amazon Web Services (AWS), while GitHub is a web-based hosting service for version control using Git.

  1. Pricing Model: One key difference between AWS CodeBuild and GitHub is their pricing model. CodeBuild follows a usage-based pricing model, where you only pay for the compute resources used during the build process. On the other hand, GitHub offers both free and paid plans based on the number of collaborators and private repositories, with pricing not directly tied to build usage.

  2. Managed Service: AWS CodeBuild is a managed service offered by AWS, which means that AWS is responsible for managing the underlying infrastructure and ensuring the service's availability and scalability. GitHub, on the other hand, is primarily a code hosting platform and does not provide the same level of infrastructure management as CodeBuild.

  3. Build Environment: AWS CodeBuild provides build environments that are isolated and customizable, allowing you to define specific requirements and configurations for individual builds. GitHub, on the other hand, does not have the same level of flexibility and control over the build environment, as it relies on third-party build systems or integrations.

  4. Integration with AWS Services: AWS CodeBuild seamlessly integrates with other AWS services, such as AWS CodePipeline for continuous delivery, AWS CodeCommit for source code management, and AWS CloudFormation for infrastructure provisioning. GitHub also offers integrations with various services, but the level of integration may not be as comprehensive as what is available within the AWS ecosystem.

  5. Security and Authentication: AWS CodeBuild provides built-in security features and supports AWS Identity and Access Management (IAM) for fine-grained access control. GitHub also offers security features and supports authentication mechanisms, but the level of control and granularity may differ from what is available in AWS CodeBuild.

  6. Scalability and Availability: AWS CodeBuild is designed to be highly scalable and available, allowing you to scale builds effortlessly and ensuring the service's reliability. GitHub, being primarily a code hosting platform, may have limitations in terms of scalability and availability when it comes to continuous integration and build processes.

In Summary, AWS CodeBuild and GitHub differ in their pricing models, level of management, build environment customization, integrations with other services, security and authentication capabilities, and scalability and availability.

Advice on AWS CodeBuild and GitHub

Hi, I need advice. In my project, we are using Bitbucket hosted on-prem, Jenkins, and Jira. Also, we have restrictions not to use any plugins for code review, code quality, code security, etc., with bitbucket. Now we want to migrate to AWS CodeCommit, which would mean that we can use, let's say, Amazon CodeGuru for code reviews and move to AWS CodeBuild and AWS CodePipeline for build automation in the future rather than using Jenkins.

Now I want advice on below.

  1. Is it a good idea to migrate from Bitbucket to AWS Codecommit?
  2. If we want to integrate Jira with AWS Codecommit, then how can we do this? If a developer makes any changes in Jira, then a build should be triggered automatically in AWS and create a Jira ticket if the build fails. So, how can we achieve this?
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Replies (1)
Sinisha Mihajlovski
Design Lead | Senior Software Developer · | 1 upvotes · 306.1K views
Recommends

Hi Kavita. It would be useful to explain in a bit more detail the integration to Jira you would like to achieve. Some of the Jira plugins will work with any git repository, regardless if its github/bitbucket/gitlab.

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Decisions about AWS CodeBuild and GitHub
Elmar Wouters
CEO, Managing Director at Wouters Media · | 7 upvotes · 495.5K views

I first used BitBucket because it had private repo's, and it didn't disappoint me. Also with the smooth integration of Jira, the decision to use BitBucket as a full application maintenance service was as easy as 1, 2, 3.

I honestly love BitBucket, by the looks, by the UI, and the smooth integration with Tower.

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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 · 661.8K 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 GitHub
  • 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
  • 1.8K
    Open source friendly
  • 1.5K
    Easy source control
  • 1.3K
    Nice UI
  • 1.1K
    Great for team collaboration
  • 867
    Easy setup
  • 504
    Issue tracker
  • 486
    Great community
  • 482
    Remote team collaboration
  • 451
    Great way to share
  • 442
    Pull request and features planning
  • 147
    Just works
  • 132
    Integrated in many tools
  • 121
    Free Public Repos
  • 116
    Github Gists
  • 112
    Github pages
  • 83
    Easy to find repos
  • 62
    Open source
  • 60
    It's free
  • 60
    Easy to find projects
  • 56
    Network effect
  • 49
    Extensive API
  • 43
    Organizations
  • 42
    Branching
  • 34
    Developer Profiles
  • 32
    Git Powered Wikis
  • 30
    Great for collaboration
  • 24
    It's fun
  • 23
    Clean interface and good integrations
  • 22
    Community SDK involvement
  • 20
    Learn from others source code
  • 16
    Because: Git
  • 14
    It integrates directly with Azure
  • 10
    Newsfeed
  • 10
    Standard in Open Source collab
  • 8
    Fast
  • 8
    It integrates directly with Hipchat
  • 8
    Beautiful user experience
  • 7
    Easy to discover new code libraries
  • 6
    Smooth integration
  • 6
    Cloud SCM
  • 6
    Nice API
  • 6
    Graphs
  • 6
    Integrations
  • 6
    It's awesome
  • 5
    Quick Onboarding
  • 5
    Remarkable uptime
  • 5
    CI Integration
  • 5
    Hands down best online Git service available
  • 5
    Reliable
  • 4
    Free HTML hosting
  • 4
    Version Control
  • 4
    Simple but powerful
  • 4
    Unlimited Public Repos at no cost
  • 4
    Security options
  • 4
    Loved by developers
  • 4
    Uses GIT
  • 4
    Easy to use and collaborate with others
  • 3
    IAM
  • 3
    Nice to use
  • 3
    Ci
  • 3
    Easy deployment via SSH
  • 2
    Good tools support
  • 2
    Leads the copycats
  • 2
    Free private repos
  • 2
    Free HTML hostings
  • 2
    Easy and efficient maintainance of the projects
  • 2
    Beautiful
  • 2
    Never dethroned
  • 2
    IAM integration
  • 2
    Very Easy to Use
  • 2
    Easy to use
  • 2
    All in one development service
  • 2
    Self Hosted
  • 2
    Issues tracker
  • 2
    Easy source control and everything is backed up
  • 1
    Profound

Sign up to add or upvote prosMake informed product decisions

Cons of AWS CodeBuild
Cons of GitHub
  • 2
    Poor branch support
  • 53
    Owned by micrcosoft
  • 37
    Expensive for lone developers that want private repos
  • 15
    Relatively slow product/feature release cadence
  • 10
    API scoping could be better
  • 8
    Only 3 collaborators for private repos
  • 3
    Limited featureset for issue management
  • 2
    GitHub Packages does not support SNAPSHOT versions
  • 2
    Does not have a graph for showing history like git lens
  • 1
    No multilingual interface
  • 1
    Takes a long time to commit
  • 1
    Expensive

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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 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.

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What are some alternatives to AWS CodeBuild and GitHub?
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