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AWS CodeBuild vs GitLab CI: What are the differences?

Introduction

In this article, we will compare AWS CodeBuild and GitLab CI to understand their key differences. Both services are popular choices for implementing continuous integration and delivery (CI/CD) pipelines, but they have distinct features and capabilities.

  1. Pricing: AWS CodeBuild has a pay-per-use pricing model, where you are billed based on the number of minutes your build executes and the compute resources used. GitLab CI, on the other hand, is part of the GitLab platform and is typically priced as part of a subscription bundle. The pricing structure of these services differs significantly, and it is important to consider your specific requirements and budget when choosing between them.

  2. Hosting: AWS CodeBuild is a fully managed service offered by Amazon Web Services (AWS), meaning that you don't have to worry about infrastructure management. It provides a scalable, reliable, and secure environment to build and test your code. On the other hand, GitLab CI can be self-hosted on your infrastructure or used as a SaaS offering provided by GitLab. This gives you more control over the environment and allows for customization, but it also requires additional effort for setup and maintenance.

  3. Integration with other AWS Services: AWS CodeBuild seamlessly integrates with other AWS services like AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy. This integration enables you to easily build and deploy applications within the AWS ecosystem. GitLab CI, on the other hand, provides integrations with a wide range of tools and platforms, including AWS, but it does not have the same level of native integration with AWS services as CodeBuild.

  4. Extensibility and Customization: GitLab CI allows you to define complex pipelines using a declarative YAML configuration file, providing a lot of flexibility and customization options. You can define stages, jobs, and workflows tailored to your specific needs. AWS CodeBuild also supports custom buildspec files to define your build process, but it may not offer the same level of extensibility and customization as GitLab CI.

  5. Community and Ecosystem: GitLab CI benefits from a vibrant and active open-source community, with many contributors regularly adding new features, fixing bugs, and providing support. This community-driven aspect of GitLab CI results in a rich ecosystem of plugins, extensions, and integrations that can enhance your CI/CD workflow. While AWS CodeBuild has its own community and ecosystem, it may not have the same level of third-party contributions as GitLab CI.

  6. Ease of Use and Learning Curve: AWS CodeBuild provides a simple and intuitive interface that makes it easy to set up and configure builds. It integrates well with other AWS services and follows AWS best practices. GitLab CI, on the other hand, requires some familiarity with YAML configuration files and the GitLab platform. While it offers powerful features, it may have a steeper learning curve for beginners.

In summary, AWS CodeBuild and GitLab CI differ in terms of pricing, hosting options, integration with other services, extensibility, community support, and ease of use. Choosing between them depends on your specific requirements, budget, infrastructure preferences, and familiarity with the platform.

Advice on AWS CodeBuild and GitLab CI
Needs advice
on
CircleCICircleCIGitLab CIGitLab CI
and
Jenkins XJenkins X

We are a mid-size startup running Scala apps. Moving from Jenkins/EC2 to Spinnaker/EKS and looking for a tool to cover our CI/CD needs. Our code lives on GitHub, artifacts in nexus, images in ECR.

Drone is out, GitHub actions are being considered along with Circle CI and GitLab CI.

We primarily need:

  • Fast SBT builds (caching)
  • Low maintenance overhead (ideally serverless)
  • Everything as code
  • Ease of use
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Replies (3)
Glenn Gillen
Recommends
on
BuildkiteBuildkite

I think I've tried most of the CI tools out there at some point. It took me a while to get around to Buildkite because at first I didn't see much point given it seemed like you had to run the agent yourself. Eventually it dawned on me why this approach was more ingenious than I realised:

Running my app in a production (or production-like) environment was already a solved problem, because everything was already in some form of "everything as code". Having a test environment where the only difference was adding the Buildkite agent was a trivial addition.

It means that dev/test/prod parity is simple to achieve and maintain. It's also proven to be much easier to support than trying to deal with the problems that come with trying to force an app to fit into the nuances and constraints that are imposed by the containers/runtime of a CI service. When you completely control all of the environment the tests are running in you define those constraints too. It's been a great balance between a managed service and the flexibility of running it yourself.

And while none of my needs have hit the scale of Shopify (I saw one of their engineers speak about it at a conference once, I can't find the video now though 😞) it's good to know I can scale out my worker nodes to hundreds of thousands of workers to reduce the time it takes for my tests to run.

See more
Recommends
on
jFrogjFrog

I would recommend you to consider the JFrog Platform that includes JFrog Pipelines - it will allow you to manage the full artifact life cycle for your sbt, docker and other technologies, and automate all of your CI and CD using cloud native declarative yaml pipelines. Will integrate smoothly with all your other toolset.

See more
Estu Fardani
Recommends
on
GitLab CIGitLab CI

more configurable to setup ci/cd: * It can provide caching when build sbt, just add this section to yml file * Easy to use, many documentation

Weakness: * Need use gitlab as repository to bring more powerful configuration

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Decisions about AWS CodeBuild and GitLab CI

Buddy is one of the most easy-to-use tools for CI I ever met. When I needed to set up the pipeline I was really impressed with how easy it is to create it with Buddy with only a few moments. It's literally like: 1. Add repo 2. Click - Click - Click 3. You're done and your app is on prod :D The top feature that I've found is a simple integration with different notification channels - not only Slack (which is the one by default), but Telegram and Discord. The support is also neat - guys respond pretty quickly on even a small issue.

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Pros of AWS CodeBuild
Pros of GitLab CI
  • 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
  • 22
    Robust CI with awesome Docker support
  • 13
    Simple configuration
  • 9
    All in one solution
  • 7
    Source Control and CI in one place
  • 5
    Integrated with VCS on commit
  • 5
    Free and open source
  • 5
    Easy to configure own build server i.e. GitLab-Runner
  • 2
    Hosted internally
  • 1
    Built-in Docker Registry
  • 1
    Built-in support of Review Apps
  • 1
    Pipeline could be started manually
  • 1
    Enable or disable pipeline by using env variables
  • 1
    Gitlab templates could be shared across logical group
  • 1
    Easy to setup the dedicated runner to particular job
  • 1
    Built-in support of Kubernetes

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Cons of AWS CodeBuild
Cons of GitLab CI
  • 2
    Poor branch support
  • 2
    Works best with GitLab repositories

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 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.

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What are some alternatives to AWS CodeBuild and GitLab CI?
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.
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.
AWS CodeStar
Start new software projects on AWS in minutes using templates for web applications, web services and more.
See all alternatives