GitLab and AWS

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Learn how to harden your software factory and let AI agents earn autonomy, without trading away security.
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Deliver innovation at scale with a DevSecOps platform that empowers teams from idea to delivery and beyond with enterprise-grade security and reliability at its core.
AI-driven DevSecOps for the future of software development
Deliver innovation at scale with a single software development solution that empowers teams from idea to delivery and beyond.
GitLab Duo with Amazon Q introduces new capabilities that autonomously perform a range of tasks - from feature planning and development to AI-driven unit test generation, automated merge request reviews, and Java codebase upgrades.
Secure your software with built-in vulnerability management tools and compliance policies to detect, prioritize, and remediate security issues — all within existing developer workflows.
Deliver better products faster with GitLab's comprehensive AI-powered DevSecOps platform and Amazon Q's AI agents in one shared workflow.
Agentic workflows optimized for AWS
Automating the most time consuming challenges of enterprise software development teams.
Participating in the early access program for GitLab Duo with Amazon Q has given us a glimpse into its transformative potential for our development workflows. Even in its early stages, we saw how the deeper integration with autonomous agents could streamline our process, from code commit to production. We're excited to see how this technology empowers our team to focus on innovation and accelerate our digital transformation.
DevOps Engineer, Volkswagen Digital Solutions
Accelerate modern application development with AI-powered DevSecOps paired with AI agents in one workflow.
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Get started with GitLab and AWS joint solutions
As a certified AWS Advanced Technology Partner with DevOps Competency, GitLab CI/CD is a proven model for customer success with the leading cloud platform. AWS customers can choose from two deployment options: GitLab self-managed and GitLab SaaS. Install, administer, and maintain your own GitLab instance that runs on everything from bare metal, VMs, and containers on AWS with GitLab self-managed. GitLab SaaS requires no installation, so you can sign up and get started quickly.
Amazon EC2 provides scalable AWS cloud computing capacity. GitLab scales jobs across multiple machines. When used together, GitLab on EC2 can significantly reduce infrastructure costs.
With one click on GitLab, AWS Fargate enables scalable serverless container deployments. Organizations migrate to Fargate to optimize compute resources and save on infrastructure costs. Fargate works with an AWS stack that includes ECS or EKS.
AWS Elastic Kubernetes Service (EKS) is a managed Kubernetes service. GitLab CI/CD offers integrated cluster creation for EKS. EKS is the only Kubernetes service that lets existing AWS users take advantage of the tight integration with other AWS services and features. GitLab also supports Amazon EKS-D.
AWS Lambda is a computing service that runs code in response to events and automatically manages the computing resources required by that code. GitLab supports the development of Lambda functions and serverless applications with AWS Serverless Application Model (AWS SAM) and GitLab CI/CD.
Amazon Elastic Container Service (Amazon ECS) is a container management service. Save time when you run AWS commands from GitLab CI/CD and automate docker deployments with GitLab's CI templates.
GitLab enables CI/CD for Windows .Net applications on AWS. Automatically deploy containerized applications, including serverless resources, with GitLab on Lambda or Fargate.
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