AWS CloudFormation vs. GitLab vs. GoCD

I still give it an 8 because it's one of those tools that just quietly does the heavy lifting for you but it can really test your patience when it breaks esp with deep nested stacks. It's perfect for projects where we need clean consistent environments every time. It's less ideal for quick experimental setups like new EC2 configs or Lambda permission tweaks.

Incentivized

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.

Incentivized

Previously, our team used Jenkins. However, since it's a shared deployment resource we don't have admin access. We tried GoCD as it's open source and we really like. We set up our deployment pipeline to run whenever codes are merged to master, run the unit test and revert back if it doesn't pass. Once it's deployed to the staging environment, we can simply do 1-click to deploy the appropriate version to production. We use this to deploy to an on-prem server and also AWS. Some deployment pipelines use custom Powershell script for.Net application, some others use Bash script to execute the docker push and cloud formation template to build elastic beanstalk.

Incentivized

• All resources can segregated based on stacks which provides greater visibility
• A complete audit trail of what went wrong while deploying a particular resource
• Automatically rollbacks if any service as part of CloudFormation results in an error
• The UI tool is useful

Incentivized

• 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.

Incentivized

• Pipeline-as-Code works really well. All our pipelines are defined in yml files, which are checked into SCM.
• The ability to link multiple pipelines together is really cool. Later pipelines can declare a dependency to pick up the build artifacts of earlier ones.
• Agents definition is really great. We can define multiple different kinds of environments to best suit our diverse build systems.

Incentivized

• Error Description upon Failure Needs to be Improved.
• Slow to create, delete or update.
• Need to delete resources manually. It can ask before starting deletion whether to skip those resources or delete them.

Incentivized

• 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.

Incentivized

• UI can be improved
• Location for settings can be re-arranged
• API for setting up pipeline

Incentivized

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

Incentivized

It's easy enough to get a shared template & apply it. You don't even have to download-then-upload or copy-and-paste, a publicly-accessible url works.

Diving deeper, it has enough powerful capabilities to make the life of a platform / DevOps engineer bearable.

However, you need equally deep knowledge to troubleshoot issues, when they inevitably pop up. This is the same for all IaC technologies, as they are additional abstraction layers on top of the native API provided by the cloud providers.

Incentivized

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!

Incentivized

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

Incentivized

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

Incentivized

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

Incentivized

Cloning a virtual machine creates a virtual machine that is cloning a virtual machine creates a virtual machine that is a copy of the original. The new virtual machine is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information about persistent memory and PMem storage, see the vSphere Cloning a virtual machine creates a virtual machine that is a copy of the original. The new virtual machine is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information. Management guide.For information copy of the original. The new virtual Cloning virtual machine creates a virtual machine that is a copy of the original. The new virtual machine is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information about persistent memory and PMem storage, see the vSphere Resource Management Guide. For information is configured with the same virtual hardware, installed software, and other properties that were configured for the original virtual machine. For information about persistent memory and PMem storage, see the vSphere Resource Management Guide. For information

Incentivized

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.

Incentivized

GoCD is easier to setup, but harder to customize at runtime. There's no way to trigger a pipeline with custom parameters.

Jenkins is more flexible at runtime. You can define multiple user-provided parameters so when user needs to trigger a build, there's a form for him/her to input the parameters.

Incentivized

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

Incentivized

• + We can standup a VPC in minutes
• - It took a lot of inital time to set up
• + With logging/rollback, made testing much easier.

Incentivized

• 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

Incentivized

• ROI has been good since it's open source
• Settings.xml need to be backed up periodically. It contains all the settings for your pipelines! We accidentally deleted before and we have to restore and re-create several missing pipelines
• More straight forward use of API and allows filtering e.g., pull all pipelines triggered after this date

Incentivized