We performed a comparison between AWS CodeDeploy and GitLab based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation."It is very flexible."
"The product is easy to use."
"It's just like every other AWS resource I use. It gets the job done."
"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."
"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."
"The solution's service delivery model is fantastic."
"CI/CD is valuable for me."
"The most valuable features of GitLab are the CI/CD pipeline and code management."
"The most valuable features of GitLab are the review, patch repo, and plans are in YAML."
"CI/CD and GitLab scanning are the most valuable features."
"I have found the most valuable feature is security control. I also like the branching and cloning software."
"For us, Gitlab's most valuable feature is the integration with Cypress. We're using Cypress as an automation tool, so we're using GitLab as a tool for running in parallel."
"CI/CD is very good. The version control system is also good. These are the two features that we use."
"I faced some stability issues."
"We have faced some issues and bugs along the way when it comes to stability."
"Deployment and stability should be improved."
"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."
"The user interface could be more user-friendly. We do most of our operations through the website interface but it could be better."
"We would like to generate document pages from the sources."
"Reporting could be improved."
"The solution should be more cloud-native and have more cloud-native capabilities and features."
"It would be better if there weren't any outages. There are occasions where we usually see a lot of outages using GitLab. It happens at least once a week or something like that. Whatever pipelines you're running, to check the logs, you need to have a different set of tools like Argus or something like that. If you have pipelines running on GitLab, you need a separate service deployed to view the logs, which is kind of a pain. If the logs can be used conveniently on GitLab, that would be definitely helpful. I'm not talking about the CI/CD pipelines but the back-end services and microservices deployed over GitLab. To view the logs for those microservices, you need to have separate log viewers, which is kind of a pain."
"The integration could be slightly better."
"Expand features to match other tools such as a static code analysis tool so third-party integrations are not required."
"I don't really like the new Kubernetes integration because it is pretty focused on the on-premise environment, but we're in a hybrid environment."
AWS CodeDeploy is ranked 4th in Release Automation with 5 reviews while GitLab is ranked 2nd in Release Automation with 70 reviews. AWS CodeDeploy is rated 8.8, while GitLab is rated 8.6. The top reviewer of AWS CodeDeploy writes "Doesn't require scripting for each stage but improvements can be made for agent compatibility". 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, Octopus Deploy and UrbanCode Deploy, whereas GitLab is most compared with Microsoft Azure DevOps, Bamboo, AWS CodePipeline, SonarQube and Tekton.
See our list of best Release Automation vendors.
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.
