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AWS CodeBuild

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AWS CodeBuild vs Travis CI: What are the differences?

## Key Differences between AWS CodeBuild and Travis CI

<Write Introduction here>

1. **Pricing Model**: AWS CodeBuild charges based on the amount of time a build runs and the number of minutes used, while Travis CI provides a limited number of free build minutes and charges for additional minutes with a flat rate.
2. **Environment Flexibility**: AWS CodeBuild offers a more customizable build environment with the ability to use Docker containers, manage resources, and configure build specifications using YAML or JSON, whereas Travis CI provides predefined build environments and limited customization options.
3. **Integrations**: AWS CodeBuild seamlessly integrates with other AWS services like CodePipeline, S3, and CloudWatch for automated continuous integration and deployment workflows, while Travis CI offers integrations with a variety of third-party tools such as GitHub, Slack, and Jira.
4. **Scalability**: AWS CodeBuild can easily scale to handle large and complex build jobs through parallel execution and the ability to allocate additional resources, while Travis CI may encounter limitations in scalability with large builds or heavy workloads.
5. **Build Notifications**: AWS CodeBuild provides detailed build status notifications and logs within the AWS Management Console for easy monitoring and troubleshooting, whereas Travis CI offers notifications primarily through email or third-party integrations.
6. **Support and Documentation**: AWS CodeBuild benefits from the extensive documentation and support provided by AWS, offering a wide range of resources for troubleshooting and guidance, while Travis CI relies more on community support and documentation.

In Summary, AWS CodeBuild and Travis CI differ in their pricing models, environment flexibility, integrations, scalability, build notifications, and support channels. 
Advice on AWS CodeBuild and Travis CI
Needs advice
on
JenkinsJenkinsTravis CITravis CI
and
CircleCICircleCI

From a StackShare Community member: "Currently we use Travis CI and have optimized it as much as we can so our builds are fairly quick. Our boss is all about redundancy so we are looking for another solution to fall back on in case Travis goes down and/or jacks prices way up (they were recently acquired). Could someone recommend which CI we should go with and if they have time, an explanation of how they're different?"

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Replies (6)
Dustin Falgout
Senior Developer at Elegant Themes · | 13 upvotes · 574K views

We use CircleCI because of the better value it provides in its plans. I'm sure we could have used Travis just as easily but we found CircleCI's pricing to be more reasonable. In the two years since we signed up, the service has improved. CircleCI is always innovating and iterating on their platform. We have been very satisfied.

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Peter Thomas
Distinguished Engineer at Intuit · | 9 upvotes · 887.5K views
Recommends
on
Travis CITravis CI
at

As the maintainer of the Karate DSL open-source project - I found Travis CI very easy to integrate into the GitHub workflow and it has been steady sailing for more than 2 years now ! It works well for Java / Apache Maven projects and we were able to configure it to use the latest Oracle JDK as per our needs. Thanks to the Travis CI team for this service to the open-source community !

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Recommends
on
Google Cloud BuildGoogle Cloud Build

I use Google Cloud Build because it's my first foray into the CICD world(loving it so far), and I wanted to work with something GCP native to avoid giving permissions to other SaaS tools like CircleCI and Travis CI.

I really like it because it's free for the first 120 minutes, and it's one of the few CICD tools that enterprises are open to using since it's contained within GCP.

One of the unique things is that it has the Kaniko cache, which speeds up builds by creating intermediate layers within the docker image vs. pushing the full thing from the start. Helpful when you're installing just a few additional dependencies.

Feel free to checkout an example: Cloudbuild Example

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Recommends
on
Travis CITravis CI

I use Travis CI because of various reasons - 1. Cloud based system so no dedicated server required, and you do not need to administrate it. 2. Easy YAML configuration. 3. Supports Major Programming Languages. 4. Support of build matrix 6. Supports AWS, Azure, Docker, Heroku, Google Cloud, Github Pages, PyPi and lot more. 7. Slack Notifications.

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Oded Arbel
Recommends
on
GitLab CIGitLab CI

You are probably looking at another hosted solution: Jenkins is a good tool but it way too work intensive to be used as just a backup solution.

I have good experience with Circle-CI, Codeship, Drone.io and Travis (as well as problematic experiences with all of them), but my go-to tool is Gitlab CI: simple, powerful and if you have problems with their limitations or pricing, you can always install runners somewhere and use Gitlab just for scheduling and management. Even if you don't host your git repository at Gitlab, you can have Gitlab pull changes automatically from wherever you repo lives.

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Recommends
on
BuildkiteBuildkite

If you are considering Jenkins I would recommend at least checking out Buildkite. The agents are self-hosted (like Jenkins) but the interface is hosted for you. It meshes up some of the things I like about hosted services (pipeline definitions in YAML, managed interface and authentication) with things I like about Jenkins (local customizable agent images, secrets only on own instances, custom agent level scripts, sizing instances to your needs).

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Decisions about AWS CodeBuild and Travis CI
Kirill Mikhailov

Jenkins is a friend of mine. 😀

There are not much space for Jenkins competitors for now from my point of view. With declarative pipelines now in place, its super easy to maintain them and create new ones(altho I prefer scripted still). Self-hosted, free, huge community makes it the top choice so honestly for me it was an easy pick.

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When choosing a tool to help automate our CI/CD, the decision came down to GitHub Actions (GA) or TravisCI. Both are great, but the team has more experience with GA. Given GAs broad support of languages and workflows, it's hard to go wrong with this decision. We will also be using GitHub for version control and project management, so having everything in one place is convenient.

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My website is brand new and one of the few requirements of testings I had to implement was code coverage. Never though it was so hard to implement using a #docker container. Given my lack of experience, every attempt I tried on making a simple code coverage test using the 4 combinations of #TravisCI, #CircleCi with #Coveralls, #Codecov I failed. The main problem was I was generating the .coverage file within the docker container and couldn't access it with #TravisCi or #CircleCi, every attempt to solve this problem seems to be very hacky and this was not the kind of complexity I want to introduce to my newborn website. This problem was solved using a specific action for #GitHubActions, it was a 3 line solution I had to put in my github workflow file and I was able to access the .coverage file from my docker container and get the coverage report with #Codecov.

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We were long time users of TravisCI, but switched to CircleCI because of the better user interface and pricing. Version 2.0 has had a couple of trips and hiccups; but overall we've been very happy with the continuous integration it provides. Continuous Integration is a must-have for building software, and CircleCI continues to surprise as they roll out ideas and features. It's leading the industry in terms of innovation and new ideas, and it's exciting to see what new things they keep rolling out.

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Jenkins is a pretty flexible, complete tool. Especially I love the possibility to configure jobs as a code with Jenkins pipelines.

CircleCI is well suited for small projects where the main task is to run continuous integration as quickly as possible. Travis CI is recommended primarily for open-source projects that need to be tested in different environments.

And for something a bit larger I prefer to use Jenkins because it is possible to make serious system configuration thereby different plugins. In Jenkins, I can change almost anything. But if you want to start the CI chain as soon as possible, Jenkins may not be the right choice.

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Pros of AWS CodeBuild
Pros of Travis 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
  • 506
    Github integration
  • 388
    Free for open source
  • 271
    Easy to get started
  • 191
    Nice interface
  • 162
    Automatic deployment
  • 72
    Tutorials for each programming language
  • 40
    Friendly folks
  • 29
    Support for multiple ruby versions
  • 28
    Osx support
  • 24
    Easy handling of secret keys
  • 6
    Fast builds
  • 4
    Support for students
  • 3
    The best tool for Open Source CI
  • 3
    Hosted
  • 3
    Build Matrices
  • 2
    Github Pull Request build
  • 2
    Straightforward Github/Coveralls integration
  • 2
    Easy of Usage
  • 2
    Integrates with everything
  • 1
    Caching resolved artifacts
  • 1
    Docker support
  • 1
    Great Documentation
  • 1
    Build matrix
  • 1
    No-brainer for CI
  • 1
    Debug build workflow
  • 1
    Ubuntu trusty is not supported
  • 1
    Free for students
  • 1
    Configuration saved with project repository
  • 1
    Multi-threaded run
  • 1
    Hipchat Integration
  • 0
    Perfect

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Cons of AWS CodeBuild
Cons of Travis CI
  • 2
    Poor branch support
  • 8
    Can't be hosted insternally
  • 3
    Feature lacking
  • 3
    Unstable
  • 2
    Incomplete documentation for all platforms

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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 Travis CI?

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

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What are some alternatives to AWS CodeBuild and Travis 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.
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