Overview
Red Hat Enterprise Linux 10 on AWS Marketplace
Red Hat Enterprise Linux 10 represents the next generation of the world's leading enterprise Linux platform, now optimized for deployment in the Amazon Web Services cloud. It provides a consistent, high-performance, and secure foundation for your most critical workloads across the hybrid cloud, from AWS regions to your private data centers and edge locations.
Built for the demands of modern IT, RHEL 10 is engineered to simplify complexity and accelerate innovation. It integrates foundational capabilities for artificial intelligence and machine learning, enabling you to develop, train, and deploy AI models seamlessly. With built-in system roles and enhanced automation through Red Hat Ansible, you can standardize and scale operations across your entire AWS environment, reducing manual effort and configuration drift.
Security is paramount. RHEL 10 includes proactive and preventative security features like kernel live patching for zero-downtime updates, comprehensive identity management integration, and hardened images that meet stringent compliance standards. These features help protect your applications and data on AWS against emerging threats.
For developers and operations teams, RHEL 10 offers a stable, application-friendly platform with long-term support. It includes the latest stable versions of language runtimes, databases, and container tools, ensuring compatibility and performance for both traditional and cloud-native applications. Deploying containerized workloads is streamlined with integrated Podman and enhanced container management capabilities.
Choosing RHEL 10 from the AWS Marketplace provides a seamless procurement and deployment experience. You benefit from integrated billing through your AWS account, access to Red Hat curated and optimized AMIs that are ready for production, and direct entitlement management. This simplifies governance and ensures you are running a properly subscribed, supported operating system.
Whether you are modernizing legacy applications, building new microservices, implementing large-scale data analytics, or powering intelligent AI workloads, Red Hat Enterprise Linux 10 on AWS delivers the performance, security, and enterprise-grade support you require. It is the trusted substrate that allows you to innovate with confidence on the world's leading cloud platform.
Deploy Red Hat Enterprise Linux 10 today and build a resilient, efficient, and future-ready infrastructure on AWS.
Highlights
- Built-In Innovation for AI and Automation. Integrates tools for artificial intelligence and machine learning workloads, and features comprehensive system automation at scale with integrated Red Hat Ansible capabilities.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Financing for AWS Marketplace purchases
Pricing
- ...
Dimension | Cost/hour |
|---|---|
t3a.medium Recommended | $0.10 |
t3.micro | $0.10 |
d3.xlarge | $0.10 |
c6a.32xlarge | $0.10 |
i7ie.metal-48xl | $0.10 |
c7i.8xlarge | $0.10 |
r8i.metal-96xl | $0.10 |
r6idn.xlarge | $0.10 |
c6id.32xlarge | $0.10 |
c5a.xlarge | $0.10 |
Vendor refund policy
For this offering, Galaxys Cloud does not offer refund, you may cancel at anytime.
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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
ver2025
Additional details
Usage instructions
To launch and connect to a Red Hat Enterprise Linux 10 instance from AWS Marketplace, follow these steps.
First, subscribe to the product. Go to AWS Marketplace in your AWS Management Console. Search for Red Hat Enterprise Linux 10. Select the appropriate listing, typically offered by Red Hat. Review the pricing details and subscription terms. Click Continue to Subscribe. On the next screen, confirm your subscription. Once complete, you are ready to launch an instance.
Next, launch the instance. You can choose Configure from the subscription confirmation page, or go directly to the EC2 Console. Click Instances and then Launch Instances. Name your instance for easy identification. In the Application and OS Images section, click on the My AMIs tab. You will find your subscribed Red Hat Enterprise Linux 10 AMI here. Select it.
Choose an instance type based on your needs, like t2.micro for testing or larger types for production. In the Key pair section, select an existing key pair or create a new one. It is crucial to download and securely save the .pem private key file. You cannot connect without it.
Configure network settings. Select an existing VPC and subnet. Configure the Security Group. You must add a rule to allow SSH access. Create a new inbound rule for type SSH (port 22). Set the source to My IP for security, or a specific trusted IP range.
Review all settings in the summary panel. Finally, click Launch Instance. The instance will now initialize. Wait a few minutes for the instance status checks to complete, showing 2/2 checks passed. You can monitor this in the EC2 Instances dashboard.
To connect via SSH, you need the public IP address. In the EC2 console, select your running instance. Find the Public IPv4 address in the details tab. Open a terminal on your local computer.
Navigate to the directory where you saved your .pem key file. Change its permissions using the command: chmod 400 your-key-file.pem
Initiate the SSH connection. The default username for Red Hat Enterprise Linux AMIs is ec2-user. Use the following command, replacing the path to your key and the public IP: ssh -i /path/to/your-key-file.pem ec2-user@your-public-ip
Upon first connection, you will see a prompt about the host authenticity. Type yes to continue. You should now be logged into your Red Hat Enterprise Linux 10 instance on AWS.
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