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AWS CodePipeline vs GitLab: What are the differences?
AWS CodePipeline and GitLab are both popular tools used for continuous integration/continuous deployment (CI/CD) in software development. However, there are several key differences between the two platforms.
Pricing Model: AWS CodePipeline follows a pay-as-you-go pricing model, where users are charged based on the number of active pipelines and minutes used. On the other hand, GitLab offers a tiered pricing model based on the number of users and features required.
Deployment Flexibility: CodePipeline is predominantly focused on AWS cloud services and is tightly integrated with other AWS tools, offering seamless deployment to AWS resources. GitLab, on the other hand, provides more flexibility in the deployment process, allowing users to deploy applications to various cloud providers or even on-premises servers.
Version Control: GitLab is built around Git version control system, providing comprehensive versioning capabilities and allowing developers to easily collaborate on codebases. While CodePipeline integrates with version control systems like AWS CodeCommit, it does not offer the same level of built-in version control functionality as GitLab.
Extensibility: CodePipeline offers a wide range of integrations with other AWS services, enabling users to extend the capabilities of their CI/CD pipelines with AWS-specific features. GitLab, on the other hand, provides a rich set of plugins and the ability to create custom CI/CD scripts, allowing for more flexibility and extensibility in the development process.
Visibility and Monitoring: CodePipeline provides detailed visibility into each stage of the CI/CD process, with built-in monitoring and logging capabilities. GitLab also offers similar monitoring capabilities, but it goes beyond CI/CD and provides a comprehensive DevOps platform with features like issue tracking, project management, and collaboration tools.
Community and Support: GitLab has a large and active open-source community, which contributes to the platform's development and provides support through forums and documentation. CodePipeline, being an AWS tool, has the advantage of receiving direct support from AWS, with access to their extensive support resources and enterprise-level customer service.
In Summary, AWS CodePipeline has a strong focus on AWS integration and seamless deployment to AWS resources, while GitLab provides more flexibility, features, and extensibility options for a wider range of deployment targets. The choice between the two depends on specific requirements, cloud preferences, and the need for additional DevOps functionalities beyond CI/CD.
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, It’s possible to switch commits order, remove a commit, squash two or more commits, or edit, for instance.
It’s particularly useful to run it before opening a pull request. It allows developers to “clean up” 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!
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 can’t 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 doesn’t let us chose it for our projects.
Pros of AWS CodePipeline
- Simple to set up13
- Managed service8
- GitHub integration4
- Parallel Execution3
- Automatic deployment2
- Manual Steps Available0
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 AWS CodePipeline
- No project boards2
- No integration with "Power" 365 tools1
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