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.
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?"
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.
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.
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 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.
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.
