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CircleCI vs GitLab: What are the differences?
Introduction
CircleCI and GitLab are popular platforms used for software development and continuous integration. While both platforms enable teams to automate their build, test, and deployment processes, there are key differences between CircleCI and GitLab that make them suitable for different use cases.
1. Pricing Model: CircleCI offers a flexible pricing model based on the number of containers used and the parallelism required, allowing teams to pay only for the resources they need. On the other hand, GitLab provides a bundled pricing model, where the cost includes all features and unlimited usage for a fixed number of users, making it economical for larger teams.
2. Built-in Version Control: GitLab is primarily a version control system (VCS), offering all the essential features required for source code management, such as repository hosting, branching, merging, and code review. In contrast, CircleCI focuses solely on continuous integration and does not provide built-in version control capabilities, relying on integration with popular VCS platforms like GitHub or Bitbucket.
3. Deployment Capabilities: CircleCI focuses on the integration and automation of various stages of the software development pipeline, including continuous integration, testing, and deployment. CircleCI provides seamless integrations with popular cloud platforms, making it easier to deploy applications to platforms like AWS, Google Cloud, or Azure. GitLab, on the other hand, provides comprehensive DevOps capabilities, offering not only the CI/CD pipeline but also additional features like container registry, Kubernetes integration, and infrastructure as code.
4. Community Support and Ecosystem: GitLab has a vibrant community and a significant number of open-source contributors, which helps drive innovation and provides a wealth of documentation, tutorials, and plugins. CircleCI also has a growing community but does not have the same magnitude of support and ecosystem as GitLab. For developers seeking extensive community support and a wide range of integrations, GitLab may be a preferable choice.
5. User Interface and Ease of Use: GitLab provides a comprehensive user interface that covers all stages of the software development lifecycle, including project management, collaboration, CI/CD, and more. CircleCI, on the other hand, focuses primarily on the CI/CD workflow and offers a simple, minimalistic user interface specifically designed for continuous integration and deployment. Depending on the team's requirements and preferences, either platform might be considered easier to use.
6. Accessibility and Self-hosting: GitLab offers a self-hosted option, allowing organizations to have complete control over their infrastructure and data. This makes it suitable for enterprises with strict security requirements or those who prefer on-premises hosting. CircleCI, on the other hand, is a cloud-based platform, providing seamless integration with popular cloud services, but it does not offer a self-hosted option.
In Summary, CircleCI and GitLab differ in terms of pricing model, built-in version control, deployment capabilities, community support, user interface, and accessibility/self-hosting options. Choice between the two depends on factors such as team size, project requirements, desired level of control, and preference for a comprehensive DevOps platform versus a focused CI/CD solution.
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
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 ๐) 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.
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.
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
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).
Do you review your Pull/Merge Request before assigning Reviewers?
If you work in a team opening a Pull Request (or Merge Request) looks appropriate. However, have you ever thought about opening a Pull/Merge Request when working by yourself? Here's a checklist of things you can review in your own:
- Pick the correct target branch
- Make Drafts explicit
- Name things properly
- Ask help for tools
- Remove the noise
- Fetch necessary data
- Understand Mergeability
- Pass the message
- Add screenshots
- Be found in the future
- Comment inline in your changes
Read the blog post for more detailed explanation for each item :D
What else do you review before asking for code review?
Using an inclusive language is crucial for fostering a diverse culture. Git has changed the naming conventions to be more language-inclusive, and so you should change. Our development tools, like GitHub and GitLab, already supports the change.
SourceLevel deals very nicely with repositories that changed the master branch to a more appropriate word. Besides, you can use the grep linter the look for exclusive terms contained in the source code.
As the inclusive language gap may happen in other aspects of our lives, have you already thought about them?
One of the magic tricks git performs is the ability to rewrite log history. You can do it in many ways, but git rebase -i
is the one I most use. With this command, Itโs possible to switch commits order, remove a commit, squash two or more commits, or edit, for instance.
Itโs particularly useful to run it before opening a pull request. It allows developers to โclean upโ the mess and organize commits before submitting to review. If you follow the practice 3 and 4, then the list of commits should look very similar to a task list. It should reveal the rationale you had, telling the story of how you end up with that final code.
Out of most of the VCS solutions out there, we found Gitlab was the most feature complete with a free community edition. Their DevSecops offering is also a very robust solution. Gitlab CI/CD was quite easy to setup and the direct integration with your VCS + CI/CD is also a bonus. Out of the box integration with major cloud providers, alerting through instant messages etc. are all extremely convenient. We push our CI/CD updates to MS Teams.
Gitlab as A LOT of features that GitHub and Azure DevOps are missing. Even if both GH and Azure are backed by Microsoft, GitLab being open source has a faster upgrade rate and the hosted by gitlab.com solution seems more appealing than anything else! Quick win: the UI is way better and the Pipeline is way easier to setup on GitLab!
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.
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.
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.
At DeployPlace we use self-hosted GitLab, we have chosen GitLab as most of us are familiar with it. We are happy with all features GitLab provides, I canโt imagine our life without integrated GitLab CI. Another important feature for us is integrated code review tool, we use it every day, we use merge requests, code reviews, branching. To be honest, most of us have GitHub accounts as well, we like to contribute in open source, and we want to be a part of the tech community, but lack of solutions from GitHub in the area of CI doesnโt let us chose it for our projects.
Pros of CircleCI
- Github integration226
- Easy setup177
- Fast builds153
- Competitively priced94
- Slack integration74
- Docker support55
- Awesome UI45
- Great customer support33
- Ios support18
- Hipchat integration14
- SSH debug access13
- Free for Open Source11
- Mobile support6
- Nodejs support5
- Bitbucket integration5
- YAML configuration5
- AWS CodeDeploy integration4
- Free for Github private repo3
- Great support3
- Clojurescript2
- Continuous Deployment2
- Parallelism2
- Clojure2
- OSX support2
- Simple, clean UI2
- Unstable1
- Ci1
- Favorite1
- Helpful documentation1
- Autoscaling1
- Extremely configurable1
- Works1
- Android support1
- Fair pricing1
- All inclusive testing1
- Japanese in rspec comment appears OK1
- Build PR Branch Only1
- So circular1
- Easy setup, easy to understand, fast and reliable1
- Parallel builds for slow test suites1
- Easy setup. 2.0 is fast!1
- Easy to deploy to private servers1
- Really easy to use1
- Stable0
Pros of GitLab
- Self hosted508
- Free431
- Has community edition339
- Easy setup242
- Familiar interface240
- Includes many features, including ci137
- Nice UI113
- Good integration with gitlabci84
- Simple setup57
- Has an official mobile app35
- Free private repository34
- Continuous Integration31
- Open source, great ui (like github)23
- Slack Integration18
- Full CI flow15
- Free and unlimited private git repos11
- All in one (Git, CI, Agile..)10
- User, group, and project access management is simple10
- Intuitive UI8
- Built-in CI8
- Full DevOps suite with Git6
- Both public and private Repositories6
- Integrated Docker Registry5
- So easy to use5
- CI5
- Build/pipeline definition alongside code5
- It's powerful source code management tool5
- Dockerized4
- It's fully integrated4
- On-premises4
- Security and Stable4
- Unlimited free repos & collaborators4
- Not Microsoft Owned4
- Excellent4
- Issue system4
- Mattermost Chat client4
- Great for team collaboration3
- Free private repos3
- Because is the best remote host for git repositories3
- Built-in Docker Registry3
- Opensource3
- Low maintenance cost due omnibus-deployment3
- I like the its runners and executors feature3
- Beautiful2
- Groups of groups2
- Multilingual interface2
- Powerful software planning and maintaining tools2
- Review Apps feature2
- Kubernetes integration with GitLab CI2
- One-click install through DigitalOcean2
- Powerful Continuous Integration System2
- It includes everything I need, all packaged with docker2
- The dashboard with deployed environments2
- HipChat intergration2
- Many private repo2
- Kubernetes Integration2
- Published IP list for whitelisting (gl-infra#434)2
- Wounderful2
- Native CI2
- Supports Radius/Ldap & Browser Code Edits1
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Cons of CircleCI
- Unstable12
- Scammy pricing structure6
- Aggressive Github permissions0
Cons of GitLab
- Slow ui performance28
- Introduce breaking bugs every release9
- Insecure (no published IP list for whitelisting)6
- Built-in Docker Registry2
- Review Apps feature1