We performed a comparison between AWS CodeDeploy and GitLab based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I found the default settings of AWS CodeDeploy to be highly beneficial for my deployment workflows. For instance, when deploying a Node.js application, I manually installed the necessary components on my AWS instance, such as the web server required by developers. Then, I created deployment scripts for starting and stopping instances and performing the deployment itself. These scripts were stored alongside my code in GitHub, ensuring they executed seamlessly with the CI/CD pipeline. Since the project wasn't overly complex, I opted for the default settings, which proved to be efficient and straightforward for deployment."
"You can easily integrate AWS CodeDeploy with multiple services."
"The product is easy to use."
"It is very flexible."
"It's just like every other AWS resource I use. It gets the job done."
"The product's initial setup phase is easy."
"AWS CodeDeploy operates on an on-demand basis. This means that you only pay for the exact duration of the deployment process. Whether it takes one minute, two minutes, or even longer, you're only charged for the time it takes to complete the deployment. You're not locked into paying for dedicated servers."
"It speeds up our development, it's faster, safer, and more convenient."
"The most valuable features of GitLab are the CI/CD pipeline and code management."
"Git hosting has an integration with ACD which is why we liked this solution in the first place."
"We like that we can create branches and then the branches can be reviewed and you can mesh those branches back. You can independently work with your own branch, you don't need to really control the core of other people."
"GitLab is a solution for source code management, container registry, pipelines, testing, and deployment."
"I like GitLab from the CI/CD perspective. It is much easier to set up CI/CD and then integrate with other tools."
"GitLab is being used as a repository for our codebase and it is a one stop DevOps tool we use in our team."
"Their CI/CD engine is very mature. It's very comprehensive and flexible, and compared to other projects, I believe that GitLab is number one right now from that perspective."
"AWS should provide its own templates in the console so that I don't need to go anywhere else to get the template for AWS CodeDeploy or AWS CodeBuild."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"I faced some stability issues."
"Deployment and stability should be improved."
"We have faced some issues and bugs along the way when it comes to stability."
"Improvements could be made to AWS CodeDeploy in terms of its agent's compatibility across different operating systems. Currently, there are instances where the agent may not work seamlessly with certain integrations, leading to issues with registering protocols on authorized servers."
"I'm new to GitLab, so I would appreciate more documentation about the code and commands."
"The solution could be faster."
"GitLab doesn't have AWS integration. It would be better to have integration with other container management environments beyond Kubernetes. It has very good integration with Kubernetes, but it doesn't have good integration with, for example, AWS, ETS, etc."
"We would like to have easier tutorials. Their tutorials are too technical for a user to understand. They should be more detailed but less technical."
"I would like to see static analysis also embedded in GitLab. That would also help us. If there's something that it does internally by GitLab and then that is already tied up with your pipeline and then it can tell you that you're coding is good or your code is not great. Based on that, it would pass or fail. That should be streamlined. I would think that would help to a greater extent, in terms of having one solution rather than depending on multiple vendors."
"The integration could be slightly better."
"Atlassian offers more products than GitLab. GitLab offers source control management, version control and collaboration between developers. Atlassian offers features on top of this as well as more integration points for developers."
"It could have more security integrations and the ability to check the vulnerability of the code. I don't think it is a responsibility of Gitlab, but it would be nice to have more options to integrate with."
AWS CodeDeploy is ranked 4th in Release Automation with 7 reviews while GitLab is ranked 2nd in Release Automation with 70 reviews. AWS CodeDeploy is rated 8.4, while GitLab is rated 8.6. The top reviewer of AWS CodeDeploy writes "The default settings of AWS CodeDeploy are highly beneficial for my deployment workflows". On the other hand, the top reviewer of GitLab writes "Powerful, mature, and easy to set up and manage". AWS CodeDeploy is most compared with AWS Amplify, AWS CodeStar, Microsoft Azure DevOps and Octopus Deploy, whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, SonarQube, AWS CodePipeline and Tekton. See our AWS CodeDeploy vs. GitLab report.
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We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
