AWS CodeStar vs GitLab
AWS CodeStar helps you develop, build, and deploy applications on AWS by providing a pre-configured continuous delivery toolchain. Built-in security policies for various roles secure code access while the project dashboard centrally monitors application activity. Integration with Atlassian JIRA is required to create and manage JIRA issues in the AWS CodeStar dashboard. GitLab is a single application that spans the entire DevOps lifecycle, providing CI/CD plus issue tracking for any SLDC, including that built on AWS.
Free CI/CD with shared or personal Runners
GitLab.com has shared Runners that allow you to use GitLab CI/CD completely free up to 2000 build minutes for private projects and unlimited for public projects. Alternatively, you can set up your own Runner for faster build processing, unlimited build minutes, or special requirements.
Application performance monitoring
GitLab collects and displays performance metrics for deployed apps, leveraging Prometheus. Developers can determine the impact of a merge and keep an eye on their production systems, without leaving GitLab.
Application performance alerts
GitLab allows engineers to seamlessly create service level indicator alerts and be notified of any desired events, all within the same workflow where they write their code.
Preview your changes with Review Apps
With GitLab CI/CD you can create a new environment for each one of your branches, speeding up your development process. Spin up dynamic environments for your merge requests with the ability to preview your branch in a live environment.
A comprehensive API
GitLab provides APIs for most features, allowing developers to create deeper integrations with the product.
Built for containers and Docker
GitLab ships with its own Container Registry, Docker CI Runner, and is ready for a complete CI/CD container workflow. There is no need to install, configure, or maintain additional plugins.
Comprehensive pipeline graphs
Pipelines can be complex structures with many sequential and parallel jobs. To make it a little easier to see what is going on, you can view a graph of a single pipeline and its status.
Scheduled triggering of pipelines
You can make your pipelines run on a schedule in a cron-like environment.
Multi-project pipeline graphs
With multi-project pipeline graphs you can see how upstream and downstream pipelines are linked together for projects that are linked to others via triggers as part of a more complex design, as it is for micro-services architecture.
Run CI/CD jobs on Windows
GitLab Runner supports Windows and can run jobs natively on this platform. You can automatically build, test, and deploy Windows-based projects by leveraging PowerShell or batch files.
Run CI/CD jobs on macOS
GitLab Runner supports macOS and can run jobs natively on this platform. You can automatically build, test, and deploy for macOS based projects by leveraging shell scripts and command line tools.
Easy integration of existing Kubernetes clusters
Add your existing Kubernetes cluster to your project, and easily access it from your CI/CD pipelines to host Review Apps and to deploy your application.
Minimal CI/CD configuration
GitLab CI/CD requires less configuration for your pipelines than other similar setups like Jenkins.
View Kubernetes pod logs
Quickly and easily view the pod logs of an app deployed to Kubernetes.
Since GitLab fans wrote most of the text here there is a pro-GitLab bias. Nonetheless we try hard to ensure the comparisons are fair and factual. Please also add things that are great in other products but missing in GitLab. If you find something that is invalid, biased, missing, or out of date in the comparisons, please open a merge request for this website to correct it. As with all the pages on this website you can find where this page lives in the repository via the link in the footer.