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Codeship

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Codeship vs GitLab CI: What are the differences?

Developers describe Codeship as "A Continuous Integration Platform in the cloud". Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need. On the other hand, GitLab CI is detailed as "GitLab integrated CI to test, build and deploy your code". 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.

Codeship and GitLab CI can be categorized as "Continuous Integration" tools.

"Simple deployments" is the top reason why over 214 developers like Codeship, while over 16 developers mention "Robust CI with awesome Docker support" as the leading cause for choosing GitLab CI.

According to the StackShare community, Codeship has a broader approval, being mentioned in 277 company stacks & 82 developers stacks; compared to GitLab CI, which is listed in 210 company stacks and 93 developer stacks.

Advice on Codeship 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.

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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.

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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 Codeship 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 Codeship
Pros of GitLab CI
  • 215
    Simple deployments
  • 179
    Easy setup
  • 159
    Github integration
  • 147
    Continuous deployment
  • 110
    Bitbucket integration
  • 97
    Easy ui
  • 84
    Slack integration
  • 66
    Fast builds
  • 61
    Great ui
  • 61
    Great customer support
  • 28
    SSH debug access
  • 27
    Free plan for 5 private repositories
  • 27
    Easy to get started
  • 23
    Competitively priced
  • 20
    Notifications
  • 20
    Hipchat, Campfire integrations
  • 16
    Awesome UI
  • 15
    Fast
  • 14
    Great documentation
  • 13
    Great experience
  • 12
    Free for open source
  • 10
    Great Tutorials
  • 4
    GitLab integration
  • 4
    Free
  • 4
    Easy to use, above all and its free for basic use
  • 3
    Easy for CI first timers
  • 3
    BitBucket Support
  • 3
    Very easy to get started
  • 3
    Build private Github repos on the free plan
  • 3
    Awesome
  • 2
    Super easy setup, works great with py.test/tox
  • 2
    Openshift integration
  • 2
    Great support, even on free tier
  • 2
    AppEngine integration
  • 2
    Easy debugging with ssh
  • 2
    Integrates with other free software
  • 2
    Superfast team work integration
  • 2
    Grepping Codeship = 1 day. Grepping Bamboo = 1 month
  • 2
    Easy to set up, very nice GitHub integration
  • 2
    Up and running in few minutes, and above all UI
  • 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 Codeship
Cons of GitLab CI
  • 3
    Ui could use some polishing
  • 0
    Antiquated ui
  • 0
    Difficult to answer build questions
  • 2
    Works best with GitLab repositories

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What is Codeship?

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

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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Jobs that mention Codeship and GitLab CI as a desired skillset
What companies use Codeship?
What companies use GitLab CI?
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What are some alternatives to Codeship and GitLab CI?
CircleCI
Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.
Semaphore
Semaphore is the fastest continuous integration and delivery (CI/CD) platform on the market, powering the world’s best engineering teams.
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.
Shippable
Shippable is a SaaS platform that lets you easily add Continuous Integration/Deployment to your Github and BitBucket repositories. It is lightweight, super simple to setup, and runs your builds and tests faster than any other service.
Codefresh
Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.
See all alternatives