AWS CodeDeploy vs Travis CI: What are the differences?
Developers describe AWS CodeDeploy as "Coordinate application deployments to Amazon EC2 instances". 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. On the other hand, Travis CI is detailed as "A hosted continuous integration service for open source and private projects". 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.
AWS CodeDeploy and Travis CI are primarily classified as "Deployment as a Service" and "Continuous Integration" tools respectively.
Some of the features offered by AWS CodeDeploy are:
- AWS CodeDeploy fully automates your code deployments, allowing you to deploy reliably and rapidly
- AWS CodeDeploy helps maximize your application availability by performing rolling updates across your Amazon EC2 instances and tracking application health according to configurable rules
- AWS CodeDeploy allows you to easily launch and track the status of your deployments through the AWS Management Console or the AWS CLI
On the other hand, Travis CI provides the following key features:
- Easy Setup- Getting started with Travis CI is as easy as enabling a project, adding basic build instructions to your project and committing code.
- Supports Your Platform- Lots of databases and services are pre-installed and can simply be enabled in your build configuration, we'll launch them for you automatically. MySQL, PostgreSQL, ElasticSearch, Redis, Riak, RabbitMQ, Memcached are available by default.
- Deploy With Confidence- Deploying to production after a successful build is as easy as setting up a bit of configuration, and we'll deploy your code to Heroku, Engine Yard Cloud, Nodejitsu, cloudControl, OpenShift, and CloudFoundry.
"Automates code deployments" is the primary reason why developers consider AWS CodeDeploy over the competitors, whereas "Github integration" was stated as the key factor in picking Travis CI.
Lyft, Heroku, and MIT are some of the popular companies that use Travis CI, whereas AWS CodeDeploy is used by Adsia, Algorithmia, and indico. Travis CI has a broader approval, being mentioned in 666 company stacks & 613 developers stacks; compared to AWS CodeDeploy, which is listed in 57 company stacks and 14 developer stacks.
What is AWS CodeDeploy?
What is Travis CI?
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In the past we used to run Jenkins. The build server always had weird issues and was a pain to maintain. Travis is a great solution for CI. Their Debug build features makes it trivial to figure out why your build broke. The integration with Github is also very slick. One thing they could improve is the documentation on the .travis.yaml format. All in all, great company and very responsive supports. Over here at getstream.io we're a fan. Keep up the good work guys!
Travis CI is our pillar for automated deployment, pull request testing, auto-merging (for non-mission-critical projects), and build testing per commit / release.
It is highly configurable, super cheap, and extremely robust (supports every language and configuration we've thrown at it).
While we usually run tests before commits, Travis goes further and tests with different Python versions and different database backends. It works great, and, best of all, it is free for open source projects.
Travis CI builds and tests every commit. It's also used to deploy Buildtime Trend as a Service to Heroku and the Buildtime Trend Python library to the PyPi repository.
Travis CI is critical for Linux and macOS CI tests for the Powershell module. Travis runs the same tests we run in AppVeyor in parallel.
To ensure that what works locally will also work for someone else. Also used to send code coverage to codeintel