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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.
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?"
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.
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 !
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
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.
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.
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).
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.
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.
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.
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.
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.
Pros of AWS CodeBuild
- Pay per minute7
- Parameter Store integration for passing secrets5
- Integrated with AWS4
- Streaming logs to Amazon CloudWatch3
- Bit bucket integration3
- GitHub Webhooks support2
- AWS Config and Config rule integration for compliance2
- VPC PrivateLinks to invoke service without internet2
- Windows/.NET support1
- Jenkins plugin integration1
- Ondemand scaling of build jobs1
- Scheduled builds with CloudWatch Events integration1
- Local build debug support1
- Native support for accessing Amazon VPC resources1
- Docker based build environment1
- Support for bringing custom Docker images1
- Fully managed (no installation/updates, servers to mai1
- PCI, SOC, ISO, HIPAA compliant1
- Full API/SDKs/CLI support1
- YAML based configuration1
- Great support (forums, premium support, SO, GitHub)1
- Perpetual free tier option (100 mins/month)1
- GitHub Enterprise support1
Pros of Travis CI
- Github integration506
- Free for open source388
- Easy to get started271
- Nice interface191
- Automatic deployment162
- Tutorials for each programming language72
- Friendly folks40
- Support for multiple ruby versions29
- Osx support28
- Easy handling of secret keys24
- Fast builds6
- Support for students4
- The best tool for Open Source CI3
- Hosted3
- Build Matrices3
- Github Pull Request build2
- Straightforward Github/Coveralls integration2
- Easy of Usage2
- Integrates with everything2
- Caching resolved artifacts1
- Docker support1
- Great Documentation1
- Build matrix1
- No-brainer for CI1
- Debug build workflow1
- Ubuntu trusty is not supported1
- Free for students1
- Configuration saved with project repository1
- Multi-threaded run1
- Hipchat Integration1
- Perfect0
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Cons of AWS CodeBuild
- Poor branch support2
Cons of Travis CI
- Can't be hosted insternally8
- Feature lacking3
- Unstable3
- Incomplete documentation for all platforms2
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