AWS CodePipeline vs. Bitbucket Server (discontinued) vs. GitLab

I think AWS CodePipeline is a great tool for anyone wanted automated deployments in a multi-server/container AWS environment. AWS also offers services like Elastic Beanstalk that provide a more managed hosting & deployment experience. CodePipeline is a good middle ground with solid, built-in automation with enough customizability to not lock people into one deployment or architecture philosophy.

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Bitbucket Server would be good to use if you are not extremely reliant on the availability of your code at any given moment. If you have other systems relying on the up status of Bitbucket Server that can cause problems if unable to reach it -- you might consider going with a different product

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GitLab is good if you work a lot with code and do complex repository actions. It gives you a very good overview of what were the states of your branches and the files in them at different stages in time. It's also way easier and more efficient to write pipelines for CI\CD. It's easier to read and it's easier to write them. It takes fewer clicks to achieve the same things with GitLab than it does for competitor products.

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• It is reliable and works without errors
• It integrates well with our repository and all other AWS functions as well as our end database

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• Pull requests / code reviews are simple but effective - it's easy to discuss the changes and enforce quality gates (through integration with Bamboo)
• The access control model is fairly granular, with per-branch and per-action permission configuration options
• There are various plugins available to extend functionality, such as SonarQube

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• GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions.
• It helps maintain code stability and reliability, saving time and effort in the development or research workflow.
• Powerful code review features, enabling collaboration and feedback among team members.
• Robust project management features, including issue tracking, kanban boards, and milestones.

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• Ease of use - things like CircleCI or other tools are a bit easier to learn.
• Ability to build from more sources.

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• Bitbucket Server (formerly Stash) should be evaluated for implementation based on the capacity of the environment ownership and support.
• Insights and analytics reports are basic.
• Bitbucket Server (formerly Stash) as part of Atlassian tools has some restrictions for centralized user management.

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• CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess.
• Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created.
• Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy.

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Because we're so locked in, it's likely we'll be using Bitbucket Server for a while, unfortunately.

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I really feel the platform has matured quite faster than others, and it is always at the top of its game compared to the different vendors like GitHub, Azure pipelines, CircleCI, Travis, Jenkins. Since it provides, agents, CI/CD, repository hosting, Secrets management, user management, and Single Sign on; among other features

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Overall, I give AWS Codepipeline a 9 because it gets the job done and I can't complain much about the web interface as much of the action is taking place behind the scenes on the terminal locally or via Amazon's infrastructure anyway. It would be nicer to have a better flowing and visualizable web interface, however.

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The usability of its interface is pretty straight forward when it comes to creating projects and repositories, but when you have to dive into finer grained portions of the UI things can get tricky. If you are used to using tools like GitHub or Gitlab -- Bitbucket is just different enough to be a bother.

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I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!

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I've never had experienced outages from GItlab itself, but regarding the code I have deployed to Gitlab, the history helps a lot to trace the cause of the issue or performing a rollback to go back to a working version

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Our pipeline takes about 30 minutes to run through. Although this time depends on the applications you are using on either end, I feel that it is a reasonable time to make upgrades and updates to our system as it is not an every day push.

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GItlab reponsiveness is amazing, has never left me IDLE. I've never had issues even with complex projects. I have not experienced any issues when integrating it with agents for example or SSO

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We didn't need a lot of support with AWS CodePipeline as it was pretty straightforward to configure and use, but where we ran into problems, the AWS community was able to help. AWS support agents were also helpful in resolving some of the minor issues we encountered, which we could not find a solution elsewhere.

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Never really needed any support as the application is very easy to set up and maintain. Any questions we had were well documented in their online documentation, and community forum.

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At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft

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CodeCommit and CodeDeploy can be used with CodePipeline so it’s not really fair to stack them against each other as they can be quite the compliment. The same goes for Beanstalk, which is often used as a deployment target in relation to CodePipeline.

CodePipeline fulfills the CI/CD duty, where the other services do not focus on that specific function. They are supplements, not replacements. CodePipeline will detect the updated code and handle deploying it to the actual instance via Beanstalk.

Jenkins is open source and not a native AWS service, that is its primary differentiator. Jenkins can also be used as a supplement to CodePipeline.

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Stash was selected before I was at the company, but we're looking at these alternatives and actively considering switching. Stash seems to have all the necessary features we need to make it work, but it doesn't have any bells and whistles or extra special features that we can use to create more advanced integrations with other products like Jenkins or Amazon Web Services.

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Gitlab seems more cutting-edge than GitHub; however, its AI tools are not yet as mature as those of CoPilot. It feels like the next-generation product, so as we selected a tool for our startup, we decided to invest in the disruptor in the space. While there are fewer out-of-the-box templates for Gitlab, we have never discovered a lack of feature parity.

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I think is very well designed, and like any VCS it works as intended

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• CodePipeline has reduced ongoing devops costs for my clients, especially around deployment & testing.
• CodePipeline has sped up development workflow by making the deployment process automated off git pushes. Deployment takes very little coordination as the system will just trigger based on what is the latest commit in a branch.
• CodePipeline offered a lot of out-of-the-box functionality that was much simpler to setup than a dedicated CI server. It allowed the deployment process to built and put into production with much less and effort and cost compared to rolling the functionality manually.

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• Stash has certainly improved the productivity of the team. We no longer have to use Shared Drive on network which is prone to hacks and errors to manage our code.
• During the process of releases, the release engineering team can pull the latest and approved code from Stash and need not be dependent upon the availability of the developers during their non availability. It improves productivity and fastens the ETA for requests.
• We have stayed on course for project deadlines since introduction of Stash and helps us achieve the goals of timely completion of projects.

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• GitLab cut down our spent on container, package and infrastructure registry
• Best thing is we can now have everything in single platform which cost effective too
• Quality of support is really good and they do have emergency support team as well which is great

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