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."It's just like every other AWS resource I use. It gets the job done."
"You can easily integrate AWS CodeDeploy with multiple services."
"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."
"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 is easy to use."
"It is very flexible."
"The product's initial setup phase is easy."
"As a developer, this solution is useful as a repository holder because most of the POC projects that we have are on GitLab."
"The solution's most valuable feature is that it is compatible with GitHub. The product's integration capabilities are sufficient for our small company of 35 people."
"The dashboard and interface make it easy to use."
"Of all available products, it was the easiest to use and easy to install."
"The scalability is good."
"Key features allow creation of well-presented Wiki that includes ideas, development, and domains."
"The most valuable features of GitLab are ease of use and highly intuitive UI and performance."
"GitLab is very useful for pipelines, continuous integration, and continuous deployment. It is also stable."
"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."
"Deployment and stability should be improved."
"I faced some stability issues."
"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."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"We have faced some issues and bugs along the way when it comes to stability."
"We do face issues in our company when we run out of disk space."
"We'd always like to see better pricing on the product."
"Some of the scripts that we encountered in GitLab were not fully functional and threw up errors."
"The solution could improve by providing more integration into the CI/CD pipeline, an autocomplete search tool, and more supporting documentation."
"It's more related to the supporting layer of features, such as issue management and issue tracking. We tend to always use, for example, Jira next to it. That doesn't mean that GitLab should build something similar to Jira because that will always have its place, but they could grow a bit in those kinds of supporting features. I see some, for example, covering ITSM on a DevOps team level, and that's one of the things that I and my current client would find really helpful. It's understandably not going to be their main focus and their core, and whenever you are with a company that needs a bit more advanced features on that specific topic, you're probably still going to integrate with another tool like Jira Service Management, for example. However, some basic features on things like that could be really helpful."
"The documentation is confusing."
"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."
"GitLab's UI could be improved."
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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