Overview
GitLab is a single application for the entire DevOps lifecycle. GitLab provides project planning, source code management, CI/CD and monitoring in a single application enabling concurrent DevOps to make the software development lifecycle 200% faster.
Create and manage code through powerful branching tools, keep strict quality standards for production code with automatic testing and reporting, and create a software supply chain with built-in universal package management. GitLab provides powerful project planning tools and analytics giving insights into team productivity. Includes SAST, DAST, container scanning and dependency scanning to reduce security and compliance risk.
GitLab Ultimate is ideal for organizations aiming to optimize and accelerate delivery while managing priorities. Ultimate adds advanced security capabilities, security risk mitigation, compliance, portfolio management and value stream management. In addition, Ultimate allows for free guest user licenses to improve your license usage for users with minimal interaction with the system.
Built on Open Source, GitLab delivers new innovations every month by leveraging contributions from a global community of thousands of developers and millions of users. Over 100,000 of the worlds most demanding organizations trust GitLab to to deliver great software at new speeds.
GitLab will deliver the license file after transaction is completed.
Please contact aws-sales@gitlab.com for private offer inquiries
Highlights
- Increase operational efficiencies. Simplify the software development toolchain to reduce the total cost of ownership.
- Deliver better products faster. Accelerate the software delivery process to meet business objectives.
- Reduce security and compliance risk. Simplify processes to comply with internal processes, controls and industry regulations without compromising speed.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide

Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Cost/hour |
|---|---|
c5.xlarge Recommended | $1.03 |
m6i.8xlarge | $1.03 |
m5.2xlarge | $1.03 |
t3.large | $1.03 |
t2.large | $1.03 |
m6i.4xlarge | $1.03 |
c5.2xlarge | $1.03 |
m6i.2xlarge | $1.03 |
Vendor refund policy
All sales are final. Fees are non-refundable.
Custom pricing options
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
GitLab Ultimate 18.11.1 release. Visit https://about.gitlab.com/releases for details.
Additional details
Usage instructions
Resources
Support
Vendor support
Priority Support is included with all self-managed GitLab Premium and Ultimate licenses
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.


Standard contract
Customer reviews
Fast, Cost-Competitive Gitlab That Integrates Seamlessly with Our Products
Self-Hosted Control with Easy CI/CD Automation
CI/CD pipelines and other automations are simple to set up and are well documented. It's easy to integrate with our hosting partners and our own cloud hosting solution.
User management works well for our needs, with solid access control and clear ownership over projects.
Powerful DevOps Pipelines for Automation
All-in-One DevOps Platform with Built-In CI/CD and Strong Collaboration
Built in CI/CD pipeline
Strong version control
Good Collaboration
Merge Request workflow
Merge conflict handling
Documentation gaps in some areas
Resource-intensive pipelines
Integration limitations
Better collaboration
Improved code quality
Automation of repetitive tasks
A platform that scales modern engineering workflows
I frequently integrate gitlab with ML tools, data platforms and monitoring systems. Gitlab's APIs make it easy to automate workflows , sync experiment metadata and trigger downstream jobs which keeps my ML ecosystem connected without manual intervention. Issue tracking plays a big role in how I manage vulnerabilities and technical debt. when issues are discovered, i can track them from detection through resolution with full context and history.
I regularly use static code analysis and code analysis to scan ML and application source code for vulnerabilities without executing it. These scans catch issues early which is critical before models are deployed into sensitive or regulated environments.