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.
This listing is for 5 GitLab users only. In order to support a larger number of users or request true-up charges please contact GitLab Sales directly to facilitate a Private Offer at: aws-sales@gitlab.com
Create and manage code through powerful branching tools. Keep strict quality standards for production code with automatic testing and reporting. Create a software supply chain with built-in universal package management.
Powerful project planning tools, and analytics to give you insight into team productivity.
Security capabilities such as SAST, DAST, container scanning and dependency scanning to reduce security and compliance risk.
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
Typical total price
$0.47/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t2.large | $0.30 | $0.093 | $0.393 |
t3.large | $0.30 | $0.083 | $0.383 |
m5.2xlarge | $0.30 | $0.384 | $0.684 |
m6i.2xlarge | $0.30 | $0.384 | $0.684 |
m6i.4xlarge | $0.30 | $0.768 | $1.068 |
m6i.8xlarge | $0.30 | $1.536 | $1.836 |
c5.xlarge Recommended | $0.30 | $0.17 | $0.47 |
c5.2xlarge | $0.30 | $0.34 | $0.64 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
All sales are final. Fees are non-refundable.
Custom pricing options
Legal
Vendor terms and conditions
Content disclaimer
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 Premium 17.7.0 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.
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Customer reviews
Very helpful for code sharing with team
Version management software for developers
2. We can manage our code of project into gitlab. We can manage our code by creating branch like master, staging, develop, feature and etc.
3. It is a version control software.
4. It is a open source software and easy to implementation. It can be used for DevOps.
5. We can do any integration into gitlab like CI/CD.
6. Many companies are mostly used this software for managing their code and documents as well.
7. This platform is very secure for security and we can track our project.
2. There are some command facing issue like merge conflict.
3. We need some public repository on gitlab but unfortunatly it is not present in gitlab.
With GitLab, we can easily access all our code by using branches and previous commits. This is because GitLab is a version control tool, which is not only reliable but also user-friendly for DevOps teams.
DevOps Platform With A Wide Range Of Useful Tools.
Time saving for the better deployment
it will take the small linux machine to deploy where the compute minutes will consume more