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."
"The product's initial setup phase is easy."
"You can easily integrate AWS CodeDeploy with multiple services."
"It's just like every other AWS resource I use. It gets the job done."
"The product is easy to use."
"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 is very flexible."
"The most valuable features of GitLab are ease of use and highly intuitive UI and performance."
"It is a speedy platform compared to the others I have used. I have also enjoyed using the platform as this solution offers a good user experience."
"The merging feature makes it easy later on for the deployment."
"The most valuable feature of GitLab is its security."
"The solution makes the CI/CD pipelines easy to execute."
"The tool helps to integrate CI/CD pipeline deployments. It is very easy to learn. Its security model is good."
"The initial setup of GitLab is pretty simple, with no complications."
"CI/CD and GitLab scanning are the most valuable features."
"Deployment and stability should be improved."
"I faced some stability issues."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"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."
"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."
"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."
"There is a need to improve or adopt AI into the ecosystem like a co-pilot, which Microsoft has done with GitHub."
"We are having a few problems integrating with Jira at the moment, which is something that our IT department is investigating."
"The only thing our company is really waiting on in terms of features is the development of metrics."
"I would like configuration of a YML file to be done via UI rather than a code file."
"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."
"There is room for improvement in GitLab Agents."
"GitLab could add a plugin to integrate with Kubernetes stuff."
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, SonarQube, Bamboo, 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.
