GitLab
vs
AWS Code Star

Comparison

Comparison

AWS Codestar

‘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 complete DevOps platform, delivered as a single application, providing CI/CD plus issue tracking for any SLDC, including those built on AWS.’

Feature Comparison
FEATURES

Free CI/CD with GitLab hosted or self-managed Runners

GitLab.com hosted runners allow you to use GitLab CI/CD completely free up to 400 build minutes for private projects and 50,000 minutes for public projects. Use your own runner for unlimited build minutes or special build environment requirements.

Explore GitLab.com offerings

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.

Learn more about monitoring deployed apps

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.

Learn more about creating SLI alerts

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. Review Apps support both static and dynamic URLs.

Learn more about Review Apps

Built for using 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.

Read the docs

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.

Learn more about pipeline graphs

Scheduled triggering of pipelines

You can make your pipelines run on a schedule in a cron-like environment.

Learn how to trigger pipelines on a schedule in GitLab

Multi-project pipeline graphs

Visualize how pipelines across projects are linked together, including cross project dependencies.

Learn more about multi-project pipeline graphs

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.

Install GitLab Runner on Windows

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.

Install GitLab Runner on macOS

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.

Read more in the docs

GitLab Agent for Kubernetes

Manage the deployments and connection to your Kubernetes clusters in a secure and compliant way, driven by code.

Read more on the docs

View Kubernetes pod logs

The monitoring of servers, application, network and security devices via generated log files to identify errors and problems for analysis. GitLab makes it easy to view the logs of running pods in connected Kubernetes clusters. By displaying the logs directly in GitLab, developers can avoid having to manage console tools or jump to a different interface.

Learn more about viewing Kubernetes pod logs

Windows Container Executor

With this feature you are able to use Docker containers on Windows directly, in much the same was as if they were on Linux hosts. This enables more advanced kinds of pipeline orchestration and management for users of Microsoft platforms.

Learn more about the Windows Container Executor

Comments in Review Apps

Shorten the feedback cycle and enable stakeholders to provide comments through a form in your review app - which is then automatically added to the related merge request .

Learn more about Commenting directly on Review Apps