Sold by: GitLab
Deployed on AWS
Free Trial
GitLab is the most comprehensive AI-powered DevSecOps platform. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. GitLab will deliver the activation code after the transaction is completed.
4.5
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
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Buyer guide
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 18.10.1 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.
Updated weekly
By GitLab
By BYNET
By Cloud Infrastructure Services
Top
10
In Source Control, Continuous Integration and Continuous Delivery, Application Development
Top
100
In Source Control
Top
10
In Issue & Bug Tracking, Agile Lifecycle Management, Continuous Integration and Continuous Delivery
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Source Code Management
Powerful branching tools for creating and managing code with strict quality standards for production code
CI/CD Pipeline
Continuous integration and continuous deployment capabilities integrated within a single application enabling concurrent DevOps workflows
Security Scanning
Multiple security scanning capabilities including SAST, DAST, container scanning, and dependency scanning to identify and mitigate vulnerabilities
Project Planning and Analytics
Project planning tools and analytics providing insights into team productivity and value stream management
Package Management
Built-in universal package management for creating and managing software supply chains
Integrated DevOps Platform
Single application providing project planning, source code management, CI/CD, and monitoring capabilities for the entire software development lifecycle.
Continuous Integration and Continuous Deployment
Automated testing and reporting functionality to maintain quality standards for production code.
Source Code Management
Version control and source code management capabilities integrated within the platform.
Business Performance Visibility
Visibility and insight tools to monitor and analyze business performance metrics.
Project Planning and Tracking
Project planning capabilities enabling concurrent DevOps workflows within a unified application.
Continuous Integration and Continuous Deployment
Fully functional CI/CD with versioned build scripts, build pipelines, and deployment to multiple environments
Source Code Management
Git version control with repository management including forking, conflict resolution for merges, quick commit-reverts, and group namespace sharing
Security and Compliance
Automated security testing including SAST, DAST, and container scanning with support for compliance and audit requirements
Container Registry
Built-in Docker container registry for managing and deploying container images
Authentication and Access Control
Secure authentication with LDAP, Active Directory, two-factor authentication, and CAS integration
Standard contract
No
No
Customer reviews
Kevin Shah
End-to-end AI pipelines have gained robust CI/CD automation and collaborative version control
Reviewed on Mar 27, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for GitLab is as a version control system that we are using. Currently, I am working on an end-to-end AI pipeline, and I have deployed my whole code using GitLab so that all things are utilized for version control for my back-end AI and front-end team. We merge all the Git codes into GitLab, and my CI/CD, issue tracking, security, and monitoring is maintained inside GitLab.
We try to collaborate with all the teams together on different features. Within GitLab, we are not utilizing Jenkins or any product management tools because it perfectly renders all the information. It maintains the version control system, which is very helpful to containerize and deploy all services, allowing us to have everything together in production.
What is most valuable?
CI/CD is the most important feature that I am utilizing with version control and security as well, and all things are very useful inside GitLab.
CI/CD helps my workflow by allowing me to integrate any new changes or any new version that I want to deploy in the whole ML lifecycle, which I implement through new integration phases and identify updates in the deployment scripts. We generate YAML manifest files, add dependencies, and deploy them utilizing GitLab's versioning system, identifying any security patches that need to be added or incidents that need to be managed, triggering the workflow. We try to manage the perfect scenarios.
GitLab has impacted my organization positively in terms of version control systems, providing many smart features and reducing the sharing of dependencies compared to what we used to do previously. It has helped the organization merge and collaborate within the team on the level of code accesses and identify how actionable insights can be inputted within the whole pipelining mechanisms, allowing us to easily perform actions on CI/CD. My organization has adapted this and resulted in more productive work.
What needs improvement?
There are many improvements that GitLab can implement, such as addressing the issue of caching. Currently, when I have multiple tasks to merge or attempt multiple merges, the CI/CD and overall GitLab processes get slower. Implementing caching to allow parallel jobs to execute together would optimize the solution and enhance efficiency.
The UI is not user-friendly compared to how GitHub Actions operates. If we could customize the UI interface or have options for plugin-based mechanisms, that would be more suitable and increase DevOps in enterprises.
For how long have I used the solution?
I have been using GitLab for around three years.
What do I think about the stability of the solution?
GitLab is stable.
What do I think about the scalability of the solution?
GitLab's scalability is good, allowing multiple employees to work together, change code collectively, and perform all kinds of CI/CD regardless of impacts from bug fixes.
How are customer service and support?
I have not reached out to customer support currently, but email support is very good, although I have not interacted with any call-based mechanisms or voice call systems.
Which solution did I use previously and why did I switch?
I was using GitHub and GitHub Actions prior to this. While GitHub Actions provided good CI/CD operations, GitLab has added smart features, such as a graphical view of branches in version control mechanisms and tracking changes made by authors at specified times. Everything is maintained perfectly in my codebase, and I can easily track buggy code, identifying issues with excellent visibility. This visibility compared to GitHub and GitHub Actions is what led me to switch to GitLab.
How was the initial setup?
The setup cost for GitLab is minimal since the team has its own minimal resource balancing. The costing falls into an intermediate stage and is impactful across all results within the team. It allows for CI/CD stages and addition of security patches smoothly, with only a slight charge that is not significant. Everything related to scripting, processing, management, and deployment works fine.
What was our ROI?
I have seen a return on investment with increased collaboration within the team resulting in more productive work and a reduction in time based on prior experiences, which emphasizes GitLab's usefulness.
What's my experience with pricing, setup cost, and licensing?
The setup cost for GitLab is minimal since the team has its own minimal resource balancing. The costing falls into an intermediate stage and is impactful across all results within the team. It allows for CI/CD stages and addition of security patches smoothly, with only a slight charge that is not significant. Everything related to scripting, processing, management, and deployment works fine.
Which other solutions did I evaluate?
Before choosing GitLab, I evaluated options like GitLens and Bitbucket . I have tried those tools prior to this project, but ultimately, I chose GitLab as the foremost solution for version control mechanisms.
What other advice do I have?
Since using GitLab, we have experienced fewer errors in identification, and any incidents coming out at the production level can be maintained to facilitate complete results, ensuring that collaboration works fine and deployment scripts remain easily executable, maintaining all services perfectly. Any impactful scripts work fine, whether making minor or major version updates.
I recommend GitLab if you are looking for a good graph-based solution or any impeccable solution for version mechanisms. I would rate this product a 9 out of 10.
Tej D.
Great Automation Tools with Easy Pipelines and Strong Documentation
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
Great tools for automation. Development and documentation. Piplining is easy to do.
What do you dislike about the product?
Needs to be trained first. The configuration needs to be done properly and is very complex for the first time. Project setup is abit complex at first.
What problems is the product solving and how is that benefiting you?
Automation, Collaborative working environment.
Musa D.
All-in-One Platform That Streamlines Workflow—Even on the Free Tier
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
Everything is in one place, so I don’t have to jump between five different tools just to get a feature live. Code hosting, CI/CD pipelines, security scanning, and even project planning (like Kanban boards) are all under one roof, which makes the workflow feel much more streamlined. The "Free" tier also goes a long way: you get a lot of useful features, including private repositories and a decent amount of CI/CD runner minutes, that other platforms might charge for.
What do you dislike about the product?
Lonely community: GitHub is the “social network” for code. If you’re looking for contributors for an open-source project, you’ll get far more visibility on GitHub than on GitLab.
What problems is the product solving and how is that benefiting you?
It keeps security from becoming an afterthought. Instead of the “security guy” coming back a week later to yell at me, GitLab scans my code as I’m writing it and flags potential vulnerabilities right away.
And if you’re at a company that has to prove it follows strict rules (compliance), GitLab automatically tracks what you need. You don’t have to manually cobble together an audit trail.
And if you’re at a company that has to prove it follows strict rules (compliance), GitLab automatically tracks what you need. You don’t have to manually cobble together an audit trail.
Sanket O.
Reliable, User-Friendly GitLab with Powerful Automation and Integrations
Reviewed on Mar 06, 2026
Review provided by G2
What do you like best about the product?
GitLab brings together key features for code versioning, pipelines, and webhooks in one place. Its automation is very effective and significantly reduces manual effort. In my experience, it runs reliably and integrates smoothly with other infrastructure tools such as Kubernetes, CloudFront, and similar services. Gitlab's UI is super user friendly
What do you dislike about the product?
For a new user it can be a bit complex to understand and start using it, it might take some time to efficiently use it
What problems is the product solving and how is that benefiting you?
GitLab helps consolidate multiple development tools into a single platform. Instead of relying on separate systems for version control, CI/CD, issue tracking, and code reviews, it brings everything together in one place, making day-to-day work easier to manage and keep organized.
Higher Education
Fine-Grained Permissions and Self-Hosting Make GitLab a Win
Reviewed on Mar 03, 2026
Review provided by G2
What do you like best about the product?
I mostly use GitLab for Git repository management and CI/CD pipelines. The pipeline system is very flexible and makes it easy to automate builds, tests, and deployments. I know GitLab has many more features like issue and bug tracking, but I haven’t used those much yet. What I do like is the fine-grained control over permissions, and the fact that it can be self-hosted, which gives us more control over our infrastructure.
What do you dislike about the product?
I have not encountered any negative points so far
What problems is the product solving and how is that benefiting you?
Beyond the basic Git features, GitLab also powers our full CI/CD pipeline and hosts our private npm, Composer, and Docker registries. We currently run over 200 private repositories on our self-hosted GitLab instance, so it has become a central part of how we manage code and deployments.
GitLab makes it much easier for our development teams to collaborate across multiple projects. With CI/CD pipelines in place, code is automatically checked, built, and deployed, which has saved our teams a significant amount of time and reduced manual steps in our release process. We have set up our own self hosted runners for the CI/CD pipelines and the documentation on setting up the auto scaling for this is very good.
there is also a fully automated API which we have used for automation and various other tasks.
GitLab makes it much easier for our development teams to collaborate across multiple projects. With CI/CD pipelines in place, code is automatically checked, built, and deployed, which has saved our teams a significant amount of time and reduced manual steps in our release process. We have set up our own self hosted runners for the CI/CD pipelines and the documentation on setting up the auto scaling for this is very good.
there is also a fully automated API which we have used for automation and various other tasks.